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Funeral services will be held Saturday, May 11, at Richardson Memorial Funeral Home, 301 S. College St., Stuttgart, at 11 a.m.
Corine Fells Sistrunk, affectionately known as Jackie, was born on Sept. 19, 1943 to Catherine Harris and Paul Fells in Wabbaseka. She attended Wabbaseka High School where she was a Drum Majorette before relocating to Milwaukee, Wis. in the early 1960s.
In Milwaukee, Jackie worked as a nurse's aid before she met and married Otis Sistrunk. She continued her work caring for sick people until she relocated her family to Benton Harbor, Mich., in 1978. Here, she was employed in the cafeteria at Whirlpool.
She enjoyed playing bingo, doing crossword puzzles and fussing at her mischievous sons. Jackie loved to cook southern food and make her specialties, homemade peach cobbler and banana pudding, for her family to enjoy. Everyday, you could find her at the kitchen table smoking a cigarette and hollering out the back door at her boys and their friends. Her favorite song was "Lord, Don't Move My Mountain."
Jackie was the neighborhood mom whose love for people allowed her to take many of them into her home. She also loved to spoil and care for her grandchildren and great-grandchildren. Her caring spirit touched the lives of many people in the community. Jackie also instilled this sense of concern for others in her children.
Jackie departed this life on Thursday, April 25, 2013 in St. Joseph, Mich. She was preceded in death by her parents; sister, Ossie Mae Taylor; brother, William Fells, Sr.; and daughter, Claudette Fells. She leaves to cherish her loving memory, three sons, Dennis Fells and twins, Jeffery and Gerald Sistrunk, all of Benton Harbor; her grandchildren, Tiffany Winston, Jennifer Callahan, Kistra Fells, Deonta Phillips, Dontrell Fells, Azzaria Sistrunk and Tiffany South, along with great-grandchildren, Cameron, Kennaire, twins Jalen and Juwanna Callahan and Jaylyn Stancil will all miss their "Granny." She also leaves to mourn three half-sisters, Gertrude Grey, Allene Avery and Sarah Lee Fells; sister-in-law, Katherlene Fells; and a host of other loving nieces, nephews, cousins and dear friends.
Funeral services will be held Saturday, May 11, at Richardson Memorial Funeral Home, 301 S. College St., Stuttgart, at 11 a.m. Professional services entrusted to and provided by Richardson Memorial Funeral Home, 301 S. College St., (870) 672-8901. www.richardsonmemorialfuneralhome.com and Facebook.
Corine "Jackie" Fells Sistrunk will be laid in her final resting place at the Lone Tree Cemetery in Stuttgart, alongside her mother, father and siblings on May 11, 2013.


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Hillel's student body, under the guidance of its full-time staff, actively participates and creates bustling Jewish activity, fostering the ever-growing Jewish community on campus. Our weekly Shabbat dinners, festive holiday ensembles, and co-sponsorships on campus are what identify Hillel as a multi-faceted, multi-lateral organization.
Gilad Salomon CWRU '10
I must admit that during my first two years here I never stepped into this building or attended events. Now I am a regular. What changed things for me was going on birthright with other students from Case Western, Cleveland State, Tri-C, and John Carroll last May. It was an unforgettable experience that has changed my life. I am involved in community service programs, Shabbat, Holiday celebrations, social programming and much else.
David Schindler CWRU '11
Hillel is a place on campus that I can go and feel at home. Since the Jewish population at Case is fairly small it is nice to have a place to go and meet other Jewish students. Whether I am there for a barbeque, Friday night services, or to make Matzah ball soup, everyone there is so warm and welcomes me in no matter how long it's been since I've last been there.
Thea Emmons CWRU '13
Not only has Hillel provided me a space for hanging out, studying, relaxing, and Shabbat dinners, but the graduate student programming has introduced me to other community members my own age. I've built lasting relationships throughout the year, and I've had unforgettable Jewish experiences. I love Cleveland even more, now"
Rayna Karoll, CWRU '09 Now CWRU Dental School
JLSA at both law schools has been instrumental in introducing Jewish law students to each other through a variety of programs. Cleveland Hillel has helped connect us with other Jewish graduate students and young professionals, as well as the Jewish community in Cleveland.
Being involved with JLSA has given me the opportunity to further develop my leadership skills, and work with other law student organizations. Hillel has provided a "home away from home" and enriched my life and experience during the stressful time as a law student
Jonah Grabelsky CWRU Law School '11
The opportunity for students to meet with professionals in our field of study is very important to us and enhances our experience while studying and training here in Cleveland. Attendance by professionals in the health field tonight, enables students to grow personally and professionally, by learning about the general community, the Jewish community, career paths and issues.
The Jewish Medical Student Association at CWRU plans educational, social and professional development programs for medical students, residents and fellows at CWRU's School of Medicine and Lerner College of Medicine. We work closely with the medical schools and Cleveland Hillel staff and student leaders, to plan events for our classmates as well with other professional and graduate students in Greater Cleveland.
Juliana Gildner-Leapman CWRU Medical School '13
Considering the intimate setting, I think the number of attorneys present was just the right amount. Obviously my goal is to meet as many attorneys as possible, but if there were even two or three more I don't think there would've been as much of an opportunity to hear the opinions of the attorneys as in depth as we did. Additionally, the variety of attorneys was solid too because we heard from young, middle-aged, and old attorneys (not in age, but experience levels!), and although they were all in "litigation," they really covered a significant gamut of the law. Hearing the stories of how they got to where they are was invaluable and it calmed me to know that everyone struggles at first to get their career going.
` Jeff Heller CWRU Law School '11
Meet and great with other students at Hillel events. Connect to our events calendar.


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… but the fettuccine attachment of my pasta machine started calling me and that was the end of the cannoli dream.
The November 2009 Daring Bakers Challenge was chosen and hosted by Lisa Michele of Parsley, Sage, Desserts and Line Drives. She chose the Italian Pastry, Cannolo (Cannoli is plural), using the cookbooks Lidia's Italian-American Kitchen by Lidia Matticchio Bastianich and The Sopranos Family Cookbook by Allen Rucker; recipes by Michelle Scicolone, as ingredient/direction guides. She added her own modifications/changes, so the recipe is not 100% verbatim from either book.
First the recipe:CANNOLI SHELLS
- 2 cups (250 grams/16 ounces) all-purpose flour
- 2 tablespoons(28 grams/1 ounce) sugar
- 1 teaspoon (5 grams/0.06 ounces) unsweetened baking cocoa powder
- 1/2 teaspoon (1.15 grams/0.04 ounces) ground cinnamon
- 1/2 teaspoon (approx. 3 grams/0.11 ounces) salt
- 3 tablespoons (42 grams/1.5 ounces) vegetable or olive oil
- 1 teaspoon (5 grams/0.18 ounces) white wine vinegar
- Approximately 1/2 cup (approx. 59 grams/approx. 4 fluid ounces/approx. 125 ml) sweet Marsala or any white or red wine you have on hand- I've used rose
- 1 large egg, separated (you will need the egg white but not the yolk)
- Vegetable or any neutral oil for frying – about 2 quarts (8 cups/approx. 2 litres)
Since I didn't exactly do the cannoli I won't put the directions here. But you can find them at the hostess blog.
Here's what I though: cannoli, fettuccine… it's all Italian, right? What about some ravioli? Ok, to go with the theme let's do some as well…
I've made some filled with Nutella. I've cut round shapes of the rolled dough, put a tablespoon of Nutella in the middle, closed and pressed the edges with a fork.
I've also made other raviolli filled with orange pastry cream.
For these I've used a big stripe of dough and put tablespoons of pastry cream with a about 5 cm (2 inch) distance between them. I've closed the dough to the other side, pressing around the cream and cut around each one.
But I was getting a bit tired of Italy, so I decided to move to Mexico... Why not make more tortilla chips?
So here they are, canolli tortilla chips with raspberry pastry cream dip.
I'll leave you with all non-cannoli family: fetticini, raviolli and tortilla chips! Enjoy them while I'll enjoy a short trip to Berlin! I'll tell you about it when I'm back!


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Whizbang wrote:
Excellent job everyone!!
Agent GleanerC /out
Whizbang wrote:
Excellent job everyone!!
Agent GleanerC /out
Ya! (I shout from my little row boat of a PC.)
Looks like TN is moving on to the Malaria Control Project. We should prolly try to get a couple mil buffer here tho (if folks [Whiz] have the patience).
Okay Chipotle, I gave you a 60k lead. Now is the time to lose it. I just fired up the home machines!
Added 4x q6600, 1x q8300.
Frikk_ wrote:
No no no nooo! That's only 16 days, and I would have to produce almost 75k a day to beat you to 2.5m. That's not gonna happen unless I win the lottery tomorrow
I'll have to settle for passing you while stationary, or chase you in other projects
Yes, and now it's going to take you even longer!
Nice, for the moment, 5 of the top ten: http://stats.free-dc.org/stats.php?page=users&proj=nfs&sort=today
leavitron wrote:
Okay Chipotle, I gave you a 60k lead. Now is the time to lose it. I just fired up the home machines!
Added 4x q6600, 1x q8300.
Uh oh - I'm near capacity. I'm not sure you spotted me enough of a lead to make the race to 2.5 close
Chipotle wrote:
Uh oh - I'm near capacity. I'm not sure you spotted me enough of a lead to make the race to 2.5 close
The only thing I have left is a dual core e4500 that I am prepping to sell locally. Anemic compared to the rest, but available if it becomes too close!
frazamatazzle wrote:
Looks like TN is moving on to the Malaria Control Project. We should prolly try to get a couple mil buffer here tho (if folks [Whiz] have the patience).
I'm good, just a bit bored. I'll run to 25 mil and then we'll see how things look.
leavitron wrote:
I just fired up the home machines!
Added 4x q6600, 1x q8300.
Frikk_ wrote:
No no no nooo! That's only 16 days, and I would have to produce almost 75k a day to beat you to 2.5m. That's not gonna happen unless I win the lottery tomorrow
I'll have to settle for passing you while stationary, or chase you in other projects
Yes, and now it's going to take you even longer!
I thought you already did that earlier. The good news (for me) is that I'm still outproducing you
Less than 18 days to 1st at current production rates
Beyond wrote:
Less than 18 days to 1st at current production rates
That's what I'm thinking.
Agent GleanerC /out
Chipotle wrote:
Uh oh - I'm near capacity. I'm not sure you spotted me enough of a lead to make the race to 2.5 close
It would appear that I didn't spot you enough. I'm just over 4 days from making my goal. By my math, I'll steamroll you on day 3.
Frikk - yes you are still gaining. But by such a slight amount that the gap between us will shrink negligibly until I stop entirely. (Which is the goal.)
leavitron wrote:
Frikk - yes you are still gaining. But by such a slight amount that the gap between us will shrink negligibly until I stop entirely. (Which is the goal.)
Yup, looks like you have even more boxes up to speed now. Down to only 4k difference yesterday, that's ~half a year to close the gap
I'm bailing for Docking. The Poles are on a push there with a 21 day overtake. I want to bend that curve a bit at least.
Frikk_ wrote:
leavitron wrote:
Frikk - yes you are still gaining. But by such a slight amount that the gap between us will shrink negligibly until I stop entirely. (Which is the goal.)
Yup, looks like you have even more boxes up to speed now. Down to only 4k difference yesterday, that's ~half a year to close the gap
Nope that is the same quads. It just takes a couple days to get up to speed on new machines that haven't crunched in a while. That and the kids keep forgetting to leave them on when they are done doing their school work!
leavitron wrote:
... That and the kids keep forgetting to leave them on when they are done doing their school work!
Hurray for exhausting school work!
leavitron wrote:
Chipotle wrote:
Uh oh - I'm near capacity. I'm not sure you spotted me enough of a lead to make the race to 2.5 close
The only thing I have left is a dual core e4500 that I am prepping to sell locally. Anemic compared to the rest, but available if it becomes too close!
It turns out to be a pretty close race to 2.5, after all
Chipotle wrote:
leavitron wrote:
Chipotle wrote:
Uh oh - I'm near capacity. I'm not sure you spotted me enough of a lead to make the race to 2.5 close
The only thing I have left is a dual core e4500 that I am prepping to sell locally. Anemic compared to the rest, but available if it becomes too close!
It turns out to be a pretty close race to 2.5, after all
I think you're going to pull it off, barely.
leavitron wrote:
I think you're going to pull it off, barely.
Just checked: made it (2,500,591 presently). I'll be backing off, now (but not entirely).
My work here is done.
Number 1 has been attained! Congrats!
Of course this rates the party .gif:
Beyond wrote:
Number 1 has been attained! Congrats!
Excellent work team!!
Agent GleanerC /out
Incredibly well done!
Yay! I passed 10 million
I'll keep it running on my 4 home crunchers unless we're doing a coordinated push somewhere. At current rates Team Norway will gain 2nd in 48 days and catch us in 168 days.
Team Ars is about to lose first place. I suggest 64-bit linux users to run lasievef_1.10_x86_64-pc-linux-gnu.
8 May 2012
Barry Mazur and William Stein wish to include the factors of the numerator of the 200th Bernoulli number in their upcoming book, and you can help! This is a large GNFS factorization, but NFS@Home has the ability to sieve it in 2-3 months. Therefore, I am placing 2,1019- on hold for a bit. If you have the memory for it please use the lasievef application help factor B200, and let's complete it as quickly as possible!
28 May 2012
10,305+ is now factored into 75-digit and 135-digit prime numbers. The sieving of 2,1061- is nearly complete. (Really this time!) The sieving of B200 is going well, and once the sieving of 2,1061- is done the V5 applications will also be used to sieve B200. Let's get B200 done as quickly as possible!
got all mu cpu's on this project running the the gb200's only one is using the lasievef_1.10_x86_64-pc-linux-gnu though. too bad I only got antiquated hardaware lol... my best cpe is a core 2 duo
Just to explain how much work is needed to sieve B200.
Right now wu's are at q=202M and the goal is to go up to q=420M. You can check which q range you are sieving by going into your task property.
Stderr output
boinc initialized
work files resolved, now working
-> ../../projects/escatter11.fullerton.edu_nfs/lasievef_1.10_x86_64-pc-linux-gnu
-> -a
-> -f
-> 202256000
-> -c
-> 1000
-> ../../projects/escatter11.fullerton.edu_nfs/GB200.poly
-> -o
-> ../../projects/escatter11.fullerton.edu_nfs/GB200_202256_0_0
total yield: 1622, q=202257001 (0.80009 sec/rel, 100.10000 % done of 1000)
called boinc_finish
Anyway, each wu sieves a q=1000 range so we still need ~218k tasks to reach q=420M.
Hope Ars can bring more power.
Thank you.
A 64-bit Mac OS X app has been released. It uses less memory and is much faster than the older 32-bit app for Mac.
pinhodecarlos wrote:
A 64-bit Mac OS X app has been released. It uses less memory and is much faster than the older 32-bit app for Mac.
Now that's good news
The goal of NFS@Home is to factor large numbers using the Number Field Sieve algorithm. After setting up two polynomials and various parameters, the project participants "sieve" the polynomials to find values of two variables, called "relations," such that the values of both polynomials are completely factored. Each workunit finds a small number of relations and returns them. Once these are returned, the relations are combined together into one large file then start the "postprocessing." The postprocessing involves combining primes from the relations to eliminate as many as possible, constructing a matrix from those remaining, solving this matrix, then performing square roots of the products of the relations indicated by the solutions to the matrix. The end result is the factors of the number.
NFS@Home is interested in the continued development of open source, publicly available tools for large integer factorization. Over the past couple of years, the capability of open source tools, in particular the lattice sieve of the GGNFS suite and the program msieve, have dramatically improved.
Integer factorization is interesting both mathematical and practical perspectives. Mathematically, for instance, the calculation of multiplicative functions in number theory for a particular number require the factors of the number. Likewise, the integer factorization of particular numbers can aid in the proof that an associated number is prime. Practically, many public key algorithms, including the RSA algorithm, rely on the fact that the publicly available modulus cannot be factored. If it is factored, the private key can be easily calculated. Until quite recently, RSA-512, which uses a 512-bit modulus (155 digits), was used. As recently demonstrated by factoring the Texas Instruments calculator keys, these are no longer secure.
NFS@Home BOINC project makes it easy for the public to participate in state-of-the-art factorizations. The project interests is to see how far we can push the envelope and perhaps become competitive with the larger university projects running on clusters, and perhaps even collaborating on a really large factorization.
The numbers are chosen from the Cunningham project. The project is named after Allan Joseph Champneys Cunningham, who published the first version of the factor tables together with Herbert J. Woodall in 1925. This project is one of the oldest continuously ongoing projects in computational number theory, and is currently maintained by Sam Wagstaff at Purdue University. The third edition of the book, published by the American Mathematical Society in 2002, is available as a free download. All results obtained since the publication of the third edition are available on the Cunningham project website.
Concerning target size there are four sievers applications available (http://escatter11.fullerton.edu/nfs/prefs.php?subset=project:):
lasieved - app for RSALS subproject, uses less than 0.5 GB memory: yes or no
lasievee - work nearly always available, uses up to 0.5 GB memory: yes or no
lasievef - used for huge factorizations, uses up to 1 GB memory: yes or no
lasieve5f - used for huge factorizations, uses up to 1 GB memory: yes or no
How's the credit distributed per target wu?
lasieved - 36
lasievee - 44
lasievef - 65
lasieve5f - 65
Why the difference in credits?
The more valuable calculation gets more credit. Especially for 16e (lasievef+lasieve5f), the extra credit also awards for the large memory usage.
What project uses what application?
lasieved - Oddperfect, n^n+(n+1)^(n+1), Fibonacci, Lucas, Cunningham, Cullen and Woodall for SNFS difficulty below 250.
lasievee - Cunningham, Oddperfect or other for SNFS difficulty above 250 to ~280.
lasievef - push the state of art for very difficulty factorizations, above SNFS difficulty of 280
lasieve5f - push the state of art for very difficulty factorizations, above SNFS difficulty of 280
The limits depends upon the boundaries chosen for the poly and characteristics of the number being factored. It's advanced math related.
For a (much) more technical description of the NFS, see the Wikipedia article or Briggs' Master's thesis.
From msieve readme.txt file:
Matthew Briggs' 'An Introduction to the Number Field Sieve' is
a very good introduction; it's heavier than C&P in places
and lighter in others
Michael Case's 'A Beginner's Guide to the General Number Field
Sieve' has more detail all around and starts to deal with
advanced stuff
Per Leslie Jensen's thesis 'Integer Factorization' has a lot of
introductory detail on NFS that other references lack
Peter Stevenhagen's "The Number Field Sieve" is a whirlwind
introduction the algorithm
Steven Byrnes' "The Number Field Sieve" is a good simplified
introduction as well.
Lenstra, Lenstra, Manasse and Pollard's paper 'The Number Field
Sieve' is nice for historical interest
'Factoring Estimates for a 1024-bit RSA Modulus' should be required
reading for anybody who thinks it would be a fun and easy project to
break a commercial RSA key.
'On the Security of 1024-bit RSA and 160-bit Elliptic Curve
Cryptography' is a 2010-era update to the previous paper
Brian Murphy's thesis, 'Polynomial Selection for the Number Field
Sieve Algorithm', is simply awesome. It goes into excruciating
detail on a very undocumented subject.
Thorsten Kleinjung's 'On Polynomial Selection for the General Number
Field Sieve' explains in detail a number of improvements to
NFS polynomial selection developed since Murphy's thesis.
Kleinjung's latest algorithmic ideas on NFS polynomial selection
are documented at the 2008 CADO Factoring Workshop:
Jason Gower's 'Rotations and Translations of Number Field Sieve
Polynomials' describes some very promising improvements to the
polynomial generation process. As far as I know, nobody has actually
implemented them.
D.J. Bernstein has two papers in press and several slides on
some improvements to the polynomial selection process, that I'm
just dying to implement.
Aoki and Ueda's 'Sieving Using Bucket Sort' described the kind of
memory optimizations that a modern siever must have in order to
be fast
Dodson and Lenstra's 'NFS with Four Large Primes: An Explosive
Experiment' is the first realization that maybe people should
be using two large primes per side in NFS after all
Franke and Kleinjung's 'Continued Fractions and Lattice Sieving' is
the only modern reference available on techniques used in a high-
performance lattice siever.
Bob Silverman's 'Optimal Parametrization of SNFS' has lots of detail on
parameter selection and implementation details for building a line
Ekkelkamp's 'On the amount of Sieving in Factorization Methods'
goes into a lot of detail on simulating NFS postprocessing
Cavallar's 'Strategies in Filtering in the Number Field Sieve'
is really the only documentation on NFS postprocessing
My talk 'A Self-Tuning Filtering Implementation for the Number
Field Sieve' describes research that went into Msieve's filtering code.
Denny and Muller's extended abstract 'On the Reduction of Composed
Relations from the Number Field Sieve' is an early attempt at NFS
filtering that's been almost forgotten by now, but their techniques
can work on top of ordinary NFS filtering
Montgomery's 'Square Roots of Products of Algebraic Numbers' describes
the standard algorithm for the NFS square root phase
Nguyen's 'A Montgomery-Like Square Root for the Number Field Sieve'
is also standard stuff for this subject; I haven't read this or the
previous paper in great detail, but that's because the convetional
NFS square root algorithm is still a complete mystery to me
David Yun's 'Algebraic Algorithms Using P-adic Constructions' provided
a lot of useful theoretical insight into the math underlying the
simplex brute-force NFS square root algorithm that msieve uses
Decio Luiz Gazzoni Filho adds:
The collection of papers `The Development of the Number Field
Sieve' (Springer Lecture Notes In Mathematics 1554) should be
absolutely required reading -- unfortunately it's very hard to get
ahold of. It's always marked `special order' at Amazon.com, and I
figured I shouldn't even try to order as they'd get back to me in a
couple of weeks saying the book wasn't available. I was very lucky to
find a copy available one day, which I promptly ordered. Again, I
cannot recommend this book enough; I had read lots of literature on
NFS but the first time I `got' it was after reading the papers here.
Modern expositions of NFS only show the algorithm as its currently
implemented, and at times certain things are far from obvious. Now
this book, being a historical account of NFS, shows how it progressed
starting from John Pollard's initial work on SNFS, and things that
looked out of place start to make sense. It's particularly
enlightening to understand the initial formulation of SNFS, without
the use of character columns.
[NOTE: this has been reprinted and is available from bn.com, at least -JP]
As usual, a very algebraic and deep exposition can be found in Henri
Cohen's book `A Course In Computational Algebraic Number Theory'.
Certainly not for the faint of heart though. It's quite dated as
well, e.g. the SNFS section is based on the `old' (without character
columns) SNFS, but explores a lot of the underlying algebra.
In order to comprehend NFS, lots of background on algebra and
algebraic number theory is necessary. I found a nice little
introductory book on algebraic number theory, `The Theory of
Algebraic Numbers' by Harry Pollard and Harold Diamond. It's an old
book, not contaminated by the excess of abstraction found on modern
books. It helped me a lot to get a grasp on the algebraic concepts.
Cohen's book is hard on the novice but surprisingly useful as one
advances on the subject, and the algorithmic touches certainly help.
As for papers: `Solving Sparse Linear Equations Over Finite Fields'
by Douglas Wiedemann presents an alternate method for the matrix
step. Block Lanczos is probably better, but perhaps Wiedemann's
method has some use, e.g. to develop an embarassingly parallel
algorithm for linear algebra (which, in my opinion, is the current
holy grail of NFS research).
Factoring an integer using NFS has 3 main steps:
1. Select Polynomial
2. Collect Relations via Sieving (NFS@Home is dedicated to this step)
3. Combine Relations
1. Polynomial Selection
Step 1 of NFS involves choosing a polynomial-pair (customarily shortened to 'a polynomial') to use in the other NFS phases. The polynomial is completely specific to the number you need factored, and there is an effectively infinite supply of polynomials that will work. The quality of the polynomial you select has a dramatic effect on the sieving time; a *good* polynomial can make the sieving proceed two or three times faster compared to an average polynomial. So you really want a *good* polynomial, and for large problems should be prepared to spend a fair amount of time looking for one.
Just how long is too long, and exactly how you should look for good polynomials, is currently an active research area. The approximate consensus is that you should spend maybe 3-5% of the anticipated sieving time looking for a good polynomial.
We measure the goodness of a polynomial primarily by its Murphy E score; this is the probability, averaged across all the possible relations we could encounter during the sieving, that an 'average' relation will be useful for us. This is usually a very small number, and the E score to expect goes down as the number to be factored becomes larger. A larger E score is better.
Besides the E score, the other customary measure of polynomial goodness is the 'alpha score', an approximate measure of how much of an average relation is easily 'divided out' by dividing by small primes. The E score computation requires that we know the approximate alpha value, but alpha is also of independent interest. Good alpha values are negative, and negative alpha with large abo****e value is better. Both E and alpha were first formalized in Murphy's wonderful dissertation on NFS polynomial selection.
With that in mind, here's an example polynomial for a 100-digit input of no great significance:
skew 7872388.07, size 9.334881e-014, alpha -5.410475, combined = 1.161232e-008
As mentioned, this 'polynomial' is actually a pair of polynomials, the Rational polynomial R1 * x + R0 and the 4-th degree Algebraic polynomial
A4 * x^4 + A3 * x^3 + A2 * x^2 + A1 * x + A0
The algebraic polynomial is of degree 4, 5, or 6 depending on the size of the input. The 'combined' score is the Murphy E value for this polynomial, and is pretty good in this case. The other thing to note about this polynomial-pair is that the leading algebraic coefficient is very small, and each other coefficient looks like it's a fixed factor larger than the next higher- degree coefficient. That's because the algebraic polynomial expects the sieving region to be 'skewed' by a factor equal to the reported skew above.
The polynomial selection determined that the 'average size' of relations drawn from the sieving region is smallest when the region is 'short and wide' by a factor given by the skew. The big advantage to skewing the polynomial is that it allows the low-order algebraic coefficients to be large, which in turn allows choosing them to optimize the alpha value. The modern algorithms for selecting NFS polynomials are optimized to work when the skew is very large.
NFS polynomial selection is divided into two stages. Stage 1 chooses the leading algebraic coefficient and tries to find the two rational polynomial coefficients so that the top three algebraic coefficients are small. Because stage 1 doesn't try to find the entire algebraic polynomial, it can use powerful sieving techniques to speed up this portion of the search. When stage 1 finds a 'hit', composed of the rational and the leading algebraic polynomial coefficient, Stage 2 then finds the complete polynomial pair and tries to optimize both the alpha and E values. A single stage 1 hit can generate many complete polynomials in stage 2. You can think of stage 1 as a very compute-intensive net that tries to drag in something good, and stage 2 as a shorter but still compute-intensive process that tries to polish things.
Factoring an integer using NFS has 3 main steps:
1. Select Polynomial
2. Collect Relations via Sieving (NFS@Home is dedicated to this step)
3. Combine Relations
2. Sieving for Relations
The sieving step is not the theoretically most complex part of the algorithm of factorization, but it is the most time consuming part because it iterates over a large domain with some expensive calculations like division and modulo, although some of these can be avoided by using logarithms.
In general optimization of the sieving step will give the biggest reduction in actual running time of the algorithm. It is easy to use a large amount of memory in this step, and one should be aware of this and try to reuse arrays and use the smallest possible data types. The factor bases can for record factorizations contain millions of elements, so one should try to obtain the best on-disk/in-memory tradeoff.
The purpose of the sieving step is to find usable relations, i.e. elements (a, b) with the following properties
• gcd(a, b) = 1
• a + bm is smooth over the rational factor base
• b^deg(f)*f(a/b) is smooth over the algebraic factor base
Finding elements with these properties can be done by various sieving methods like the classical line sieving or the faster lattice sieving, the latter being used at NFS@Home.
The lattice sieving was proposed by John Pollard in "Lattice sieving, Lecture Notes in Mathematics 1554 (1991), 43–49.". The factor bases are split into smaller sets and then the elements which are divisible by a large prime q are sieved. The sizes of the factor bases have to be determined empirically, and are dependent on the precision of the sieving code, if all smooth elements are found or if one skips some by using special-q methods.
One advantage the lattice siever has is the following. The yield rate for the line siever decreases over time because the norms get bigger as the sieve region moves away from the origin. The lattice siever brings the sieve region "back to the origin" when special-q's are changed. This might be its biggest advantage (if there is one).
3. Combine Relations
The last phase of NFS factorization is a group of tasks collectively referred to as 'NFS postprocessing'. You need the factor base file described in the sieving section (only the polynomial is needed, not the actual factor base entries), and all of the relations from the sieving. If you have performed sieving in multiple steps or on multiple machines, all of the relations that have been produced need to be combined into a single giant file. And by giant I mean *really big*; the largest NFS jobs that I know about currently have involved relation files up to 100GB in size.
Even a fairly small 100-digit factorization generates perhaps 500MB of disk files, so you are well advised to allow plenty of space for relations. Don't like having to deal with piling together thousands of files into one? Sorry, but disk space is cheap now.
With the factor base and relation data file available, is is time to perform NFS postprocessing.However, for larger jobs or for any job where data has to be moved from machine to machine, it is probably necessary to divide the postprocessing into its three fundamental tasks. These are described below:
NFS Filtering
The first phase of NFS postprocessing is the filtering step. This analyzes the input relation file, sets up the rest of the filtering to ignore relations that will not be useful (usually 90% of them or more), and produces a 'cycle file' that describes the huge matrix to be used in the next postprocessing stage.
To do that, every relation is assigned a unique number, corresponding to its line number in the relation file. Relations are numbered starting from zero, and part of the filtering also adds 'free relations' to the dataset. Free relations are so-called because it does not require any sieving to find them; these are a unique feature of the number field sieve, although there will never be very many of them. Filtering is a very complex process. If you do not have enough relations for filtering to succeed, no output is produced other than complaints to that effect. If there are 'enough' relations for filtering to succeed, the result is a 'cycle file'.
How many relations is 'enough'? This is unfortunately another hard question, and answering it requires either compiling large tables of factorizations of similar size numbers, running the filtering over and over again, or performing simulations after a little test-sieving. There's no harm in finding more relations than you strictly need for filtering to work at all, although if you mess up and find twice as many relations as you need then getting the filtering to work can also be difficult. In general the filtering works better if you give it somewhat more relations than it stricly needs, maybe 10% more. As more and more relations are added, the size of the generated matrix becomes smaller and smaller, partly because the filtering can throw away more and more relations to keep only the 'best' ones.
NFS Linear Algebra
The linear algebra step constructs the matrix that was generated from the filtering, and finds a group of vectors that lie in the nullspace of that matrix. Finding nullspace vectors for a really big matrix is an enormous amount of work. To do the job, Msieve uses the block Lanczos algorithm with a large number of performance optimizations. Even with fast code like that, solving the matrix can take anywhere from a few minutes (factoring a 100-digit input leads to a matrix of size ~200000) to several months (using the special number field sieve on 280-digit numbers from the Cunningham Project usually leads to matrices of size ~18 million). Even worse, the answer has to be *exactly* correct all the way through; there's no throwing away intermediate results that are bad, like the other NFS phases can do. So solving a big matrix is a severe test of both your computer and your patience.
Multithreaded Linear Algebra
The linear algebra is fully multithread aware. Note that the solver is primarily memory bound, and using as many threads as you have cores on your multicore processor will probably not give the best performance. The best number of threads to use depends on the underlying machine; more recent processors have much more powerful memory controllers and can continue speeding up as more and more threads are used. A good rule of thumb to start off is to try two threads for each physical package on your motherboard; even if it's not the fastest choice, just two or four threads gets the vast majority of the potential speedup for the vast majority of machines.
Finally, note that the matrix solver is a 'tightly parallel' computation, which means if you give it four threads then the machine those four threads run on must be mostly idle otherwise. The linear algebra will soak up most of the memory bandwidth your machine has, so if you divert any of it away to something else then the completion time for the linear algebra will suffer.
As for memory use, solving the matrix for a 512-bit input is going to require around 2GB of memory in the solver, and a fast modern processor running the solver with four threads will need about 36 hours. A slow, less modern processor that is busy with other stuff could take up to a week!
NFS Square Root
With the solution file from the linear algebra in hand, the last phase of NFS postprocessing is the square root.
'an NFS square root' is actually two square roots, an easy one over the integers and a very complex one over the algebraic number field described by the NFS polynomial we selected. Traditionally, the best algorithm for the algebraic part of the NFS square root is the one described by Montgomery and Nguyen, but that takes some quite sophisticated algebraic number theory smarts.
Every solution generated by the linear algebra is called 'a dependency', because it is a linearly dependent vector for the matrix we built.
The square root in Msieve proceeds one dependency at a time; it requires all the relations from the data file, the cycle file from the filtering, and the dependency file from the linear algebra. Technically the square root can be speed up if you process multiple dependencies in parallel, but doing one at a time makes it possible to adapt the precision of the numbers used to save a great deal of memory toward the end of each dependency.
Each dependency has a 50% chance of finding a nontrivial factorization of the input.
msieve is the client used for post-processing phase
In conclusion, factoring an integer using NFS has 3 main steps:
1. Select Polynomial
External to NFS@Home project. If number is GNFS then polynomial search is necessary using GPU or CPU.
2. Collect Relations via Sieving
Made via NFS@Home, only CPU sievers available.
3. Combine Relations
Done by NFS@Home in part, the relations obtained by sieving effort are stored on NFS@Home server. The post-processing phase is done or by external members or in clusters to take advantage of Multithreaded Linear Algebra phase. The latter can be done by using msieve MPI.
Hi there!
I think with my four previously post you can get to know very well what NFS@Home does.
Now to the challenge numbers and figures:
To get the most credits you should run the 16e (lasievef) or 16e V5 (lasieve5f) applications. These applications are sieving a number called 2,1037-. For linux users with more than 1.2GB per thread set
lasieved - app for RSALS subproject, uses less than 0.5 GB memory: no
lasievee - work nearly always available, uses up to 0.5 GB memory: no
lasievef - used for huge factorizations, uses up to 1 GB memory: no
lasieve5f - used for huge factorizations, uses up to 1 GB memory: yes
in "http://escatter11.fullerton.edu/nfs/prefs.php?subset=project".
For windows users set "yes" instead or "no" for "lasievef". 1.35 GB per thread is needed to run "lasievef" application. If you don't have it chose lasievee or lasieved application. lasieve5f is not available for windows OS.
In terms of points per application the situation is like this:
lasieved - 36 points per wu
lasievee - 44 points per wu
lasievef - 65 points per wu
lasieve5f - 65 points per wu
In global settings at "http://escatter11.fullerton.edu/nfs/prefs.php?subset=global" set
Swap space: use at most: 98% of total
Memory: when computer is in use, use at most: 100% of total
Memory: when computer is not in use, use at most: 100% of total
Carlos Pinho
PS( Windows users with more than 2GB/thread of memory with Ubuntu x64 installed under Virtual Box will get the most of it instead of only running NFS@Home under Windows environment)
PS 2( Challenges links, part I at http://boincstats.com/en/stats/challenge/team/chat/283 and part II at http://boincstats.com/en/stats/challenge/team/chat/285)
Come and join the challenges.
2,1037- sieve progress (16e and 16e V5 applications):
Last 16e Lattice Sieve application wu received is at ~q=782.000M.
Last 16e Lattice Sieve V5 application wu received is at ~q=959.000M (second chunk restarted at 950M going to 1,000M: meaning going backwards from 1,000M until meet 16e in the middle).
Last 16e Lattice Sieve V5 application already sent all wu's from 1,000M to 1,400M (first chunk).
Overall Q range sieve of 2,1027- started at 20M to 1,400M.
Q range situation is this:
20M-782M (sent through 16e application, remaining wu's close to be done)
782M-950M (unsent)
950M-959M (sent, remaining wu's close to be done)
959M-1000M (unsent, will be sent through 16e V5 application)
1000M-1400M (sent through 16e V5 application, remaining wu's close to be done)
In terms of work still to be done we are talking about ~209k wu's left to be crunched, ~113k already created, ~46k in progress.
Guys, we need your CPU power for finishing the sieve of 2,1037- integer. Please help us out on the challenge part 2 by running the 16e or the 16e V5 applications (more than 1.2GB of memory needed pet thread). Linux users will take advantage of the 64-bit instructions. Come on! Can you reach 100M on NFS@Home? Can you get first place?
Please join the challenge here: http://boincstats.com/en/stats/challenge/team/chat/285
Thank you in advance,
Carlos Pinho
(Post-processing helper of NFS@Home Project, userid=1025)
Second part of the challenge is underway at http://boincstats.com/en/stats/challenge/team/chat/285.
2,1037- figures:
Last 16e Lattice Sieve application wu received is at ~q=801M.
Last 16e Lattice Sieve V5 application wu received is at ~q=970M (second chunk restarted at 950M going to 1,000M: meaning going backwards from 1,000M until meet 16e in the middle).
Last 16e Lattice Sieve V5 application already sent all wu's from 1,000M to 1,400M (first chunk).
Overall Q range sieve of 2,1037- started at 20M to 1,400M.
Q range situation is this:
20M-801M (sent through 16e application, remaining wu's close to be done)
801M-950M (unsent)
950M-970M (sent, remaining wu's close to be done)
970M-1000M (unsent, will be sent through 16e V5 application)
1000M-1400M (sent through 16e V5 application, remaining wu's close to be done)
In terms of work still to be done we are talking about ~179k wu's left to be crunched, ~82k already created, ~46k in progress.
Considering my machine (core i5 750 with cache set to 200, 180 wu's daily done) the leading edge of the undone wu's to the finish ones is about 11M without taking into consideration the repetitive wu's that probably are in there mixed.
OK, I'm upping my NFS allocation - anyone else care to join me?
Chipotle wrote:
OK, I'm upping my NFS allocation - anyone else care to join me?
What kind of CPU power you have and how much memory? Just asking so I can help you maximize the credits per day.
Carlos Pinho


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U.S. Olympic boxer Claressa Shields, the teenager whose dream of being in the first crop of Olympic women boxers led her to tell her story on All Things Considered back in February, will fight for a medal in London.
A native of Flint, Mich., Shields, 17, won her first middleweight bout in an 18-14 decision, reaching the semifinal round and guaranteeing her at least a bronze medal. In boxing, the two losers of the semifinal fights both win bronze. But she has a shot at gold or silver, if Shields can get past Kazakhstan's Marina Volnova. Their boxing match is scheduled for Wednesday at 9:30 a.m. ET.
As she told NPR and Radio Diaries, Shields would live at the gym if she could. Here's more of her story, from February:
"Claressa attributes her start in boxing to her father, Clarence Shields, an amateur underground boxer who was nicknamed "Cannonball" because of his fast, hard punches. Clarence went to prison when Claressa was 2 and didn't come out until she was 9, but Claressa clearly remembers the stories her father shared from his fighting days."
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This is the first Olympics to have women's boxing as an official medal sport.
Yesterday was a historic day for boxing. For the first time ever, women competed for Olympic medals in the sport. And today in the ring, a boxer we featured on this program back in February, a high school student from Flint, Michigan.
CLARESSA SHIELDS: Well, we're going to start with - my name is Claressa Shields. I've been boxing since I was 11.
CORNISH: Independent producers, Joe Richman and Sue Jaye Johnson of Radio Diaries, followed Claressa as she prepared for and competed in the Olympic boxing trials.
SHIELDS: My record is 19 and 0. Yeah, undefeated.
UNIDENTIFIED MAN #1: Ladies and gentlemen, it is my pleasure to introduce...
SHIELDS: I have this dream, I'm in London and it's the finals in the Olympics. I can hear the announcer. I mean, they're going to say it like, and the first woman Olympian, at 165 pounds, is Claressa Shields.
UNIDENTIFIED MAN #1: Claressa Shields.
CORNISH: Well, today in London, Shields got one big step closer to that dream. She won her first bout and advanced to the semifinal round, the final four in the middleweight category. And that means she is guaranteed a medal because in boxing, the two losers in the semifinal round both receive bronze.
On Wednesday, if Claressa Shields wins, she'll go on to compete for the gold medal.
CORNISH: You're listening to ALL THINGS CONSIDERED from NPR News. Transcript provided by NPR, Copyright NPR.


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» How Marijuana Tolerance Builds Up — And How to Bring It Down
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from the Yale School of Medicine, has uncovered how a tolerance to cannabis happens, and roughly how long it takes for it to return to a normal level. This latest piece of research was a collaboration project between prestigious organization such as the Schizophrenia and Neuropharmacology Research Group of the Connecticut Healthcare System, Yale University School of Medicine, the New York University Langone Medical Center and the Harvard Medical School Massachusetts General Hospital.
The age-old problem with cannabis requires people to smoke or dab more after the first time. Unlike opiates, overdosing on cannabis is difficult and THC does not become toxic until it reaches incredibly high levels in the body, equivalent to eating pounds and pounds of pure active ingredient in one sitting. Though a smoker might need to consume successively consume more cannabis as time goes on, it does not spiral out of control; someone could smoke the same amount of weed everyday for their entire life and still get high.
The experiment used males of ages 18-35 that were "cannabis dependent" according to the
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. They used positron emission tomography (a PET scan) to observe a radiotracer ligand for cannabinoid receptor 1 (CB 1 ), the receptor in our brains triggered by THC in cannabis to induce its psychoactive effects. The PET was able to see where exactly CB 1 receptors are located in the brain and how densely distributed they were throughout each section.
What did the experiment find? "In chronic moderate daily cannabis smokers, CB1R availability is decreased in most brain regions. Significant CB1R upregulation begins within 2 days of abstinence and continues over 4 weeks." In other words, a cannabis smoker has less CB 1 receptors in their brain than non-smokers do, but they start to bounce back after just two days of abstinence, and return to almost – normal levels after four weeks of abstinence. The fact that CB 1 receptors did not fully bounce back after four weeks the authors attributed to their small sample size that might not have adequately assessed the initial levels of CB 1 before they stopped smoking.
North America (December 5, 2017)
– Trappist Brewery Koningshoeven, better known as
La Trappe
, has produced its first ever collaboration beer
Ora et Labora
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. The beer was produced in Toronto as the first of the Brunswick Bierworks Handshake Brews series.
Ora et Labora translates as "Pray and Work", which is the creed of the Trappist Monks. The beer is a stern 7.5% ABV "New World Double Bock" and was brewed by La Trappe's brouwmeester Lodewijk Swinkels alongside Brunswick Bierworks master brewer Christian Riemerschmid von der Heide.
The collaboration weaves traditional krausen fermentation with a mighty maltbill and a unique blend of Opal, Loral, Mandarina Bavaria and Ontario Newport hops sourced from the Americas and Europe; bridging the two worlds of brewing. The recipe that Lodewijk and Christian have designed is "double bock" in strength. The ingredients and process with re-fermentation is like a wheat double bock – however the fermentation and yeast is like grand cru.
La Trappe is honored to donate proceeds from sales to the Kyotera project, its relief effort for the Kyotera Hospital in Uganda.
"The good cause of this collaboration brew is the Kyotera Hospital in Uganda," says Anthony van Hecke –
Export Director for La Trappe. "They need financial help to fight against Aids. Especially women and children who are infected by HIV will benefit from this project. The health care in the district of Rakai needs more medical attention and their specialized team will welcome the proceeds of this collaboration brew to compete against AIDS/HIV in the outskirts of the hospital."
Hecke continues, "One of the three major rules to be an Authentic Trappist Brewery is to support those in need through financial assistance. We hope this collaboration beer heightens awareness of the important role our Monks fulfill in the community and around the world."
Lanny Hoff, SVP – Brands Manager of Artisanal Imports adds, "We are excited to work not only with Lodewijk and the La Trappe team, but also the excellent group at Brunswick Bierworks. They make wonderful beer and deserve to be a household name in the United States. We are proud that proceeds from the sale of Ora et Labora will benefit the Kyotera project. Artisanal Imports is setting aside a portion of our sales as well, for a double-benefit."Read more
The Mercado™ is approved by The National High School Coaches Association (NHSCA) compliant within the National Collegiate Athletic Association (NCAA) guidelines...READ MORE
Since its inception more than 70 years ago, the design of the wrestling headgear has never been truly functional, leaving the wrestler's head and face exposed to injuries.
Designed with straps, snaps and other stuff, the headgear shifts all over the place, and is constantly pulled over a wrestler's face and head. A headgear just never properly fits, and every wrestler faces the same problems – even choosing to not wear one at all.
As a former wrestler and coach, I know the struggle of finding a comfortable headgear that fits a wrestler without all the problems. So one day while in graduate school, I came up with an idea to design a better product. A world class team of mechanical, biomedical and industrial product engineers and designers was assembled and embarked on a 4-year mission to develop the most technical and functional headgear on the market that is secure, form-fitting, comfortable and protective – which won a national technology competition…
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The Mercado officially hits the market November 15th.ORDER NOW!
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B-lab™ Journal
Les Liliacees. Paris: Didot Jeune, 1802-1816.Les Liliacees.
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Pierre-Joseph Redoute is recognized as the most talented botanical artist the world has known. During the late 18th and early 19th centuries he lived in Paris, the cultural and scientific center of Europe. Interest in plant illustration was at its height and his career flourished.
Redoute was from a family of Belgian painters. He was born in 1759, the second of three brothers. He left home when he was thirteen, determined to make a living as an itinerant interior decorator and painter of portraits and religious memorabilia. As he traveled, he studied the paintings of Flemish and Dutch artists. After 10 years, he joined his older brother in Paris and worked with him as a theater set designer.
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Still interested in floral painting, Redoute visited public gardens in Paris to study and sketch the flowers. At the Jardin du Roi, he attracted the attention of botanist Charles Louis L'Heritier du Brutelle. L'Heritier became a mentor to Redoute, taught him the fundamentals of flower structure necessary for botanical illustration, and employed him as an illustrator for his Stirpes Novae (published 1785-1791). Redoute contributed 54 illustrations to this work (Hunt 1958, v.2, cvi) . This was the beginning of Redoute's career.
In 1786, L'Heritier suggested that Redoute accompany him to London. In London Redoute learned the art of stipple engraving and color printing that would give him the technical expertise he needed to produce the beautiful illustrations found in his later works.
Another artist who influenced Redoute was the Dutch artist, Gerard van Spaendonck who had gained a favorable reputation in Paris as a painter and teacher at the Jardin des Plantes. Van Spaendonck perfected the technique of painting with pure water color which Redoute adopted and popularized.
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After Napoleon came to power in France, Redoute was among the staff who worked to realize Josephine Bonaparte's dream of filling the gardens of Malmaison with the rarest plants from around the world. The engravings from Redoute's drawings during the early years of the 19th century are considered to be his best work. His drawings illustrate Etienne Pierre Ventenat's Jardin de Malmaison (1803-04), Aime Bonpland's Description des Plantes Rares Cultivees a Malmaisonet a Navarre (1812-17), Les Liliacees (1802-16) and Les Roses (1817-24). Les Liliacees is considered by some to be his masterpiece.
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Huskers Seniors Make Third Round in Tulsa
Tulsa, Okla. - Three Huskers seniors advance to the top 16 of the tournament looking to face heated competition in the third round at the ITA/USTA Women's Central Region Tennis Championships.
After the first two rounds of play in both doubles and singles, the Huskers ended day two of the event with mixed results.
In the singles main draw the Huskers seniors performed well. Senior Patricia Veresova swept past Missouri's Maria Christensen 6-2, 6-2 while senior Janine Weinreich rolled over Drake's Nell Boyd in three sets scored at 5-7, 6-1, 6-1. Senior Stefanie Weinstein defeated Missouri's Rachel Stuhlmann 6-7 (7), 6-0, 6-1 as junior Maike Zeppernick fell to Kansas' Maria Cardona 6-3, 6-7 (7), 2-6. Sophomore Izabella Zgierska was ousted by Kanas' Belen Luduena 1-6, 0-6 while freshman Maggy Lehmicke lost to Oklahoma State's Meghan Blevins 6-3, 6-7 (7), 2-6.
The three seniors built on their first round success going into the second round. Veresova defeated Southern Illinois' Melanie Delsart 6-1, 4-6, 6-2 while Weinreich shut down Wichita State's Rebecca Pedrazzi in a 6-3, 6-2 victory. Weinstein rallied on first round momentum as well ousting Drake's Jordan Eggleson 6-3, 6-2.
Third Round matches begin at 1 p.m. Saturday. Veresova faces Oklahoma's Hermon Brhane as Weinreich goes up against Arkansas' Yang Pang. Weinstein heads against Oklahoma State's C.C. Sardinha.
Dropping from the main draw, Zgierska and Zeppernick saw more singles action in the consolation bracket. Zeppernick concluded her singles matches when she fell to Minnesota's Natallia Pintusava 1-6, 3-6. Izabella Zgierska advanced to the second round of the consolation bracket with a 6-3, 6-0 victory over South Dakota State's Jenny Blackburne.
Zgierska will play her second round consolation match against Wichita State's Carla Venticinque at 1 p.m. Saturday.
Moving on to doubles play, the Huskers were unable to have any duos advance to the third round. In the first round, Lehmicke/Zgierska defeated South Dakota State's Jenny Blackburne and Florencia Magni 8-4 while Zeppernick/Wagner fell to Southern Illinois' Natasha Tomishima and Jennifer Dien 3-8.
The second round saw the Huskers end of doubles play in the tournament. Going into the second round on a bye, No. 4 seeded Weinstein/Weinreich lost to Drake's Jordan Eggleson and Klavdija Rebol 4-8 while Lehmicke/Zgierska fell to Iowa's Katie Zordani and Ruth Seaborne 4-8. Also beginning the second round off a bye, No. 6 seeded Weatherholt, Veresova was defeated by Kansas State's Petra Niedermayerova and Ivana Kubickova 5-8. There is no consolation doubles bracket.
Results will be posted via a release on Huskers.com concluding today's matches. Full statistics, brackets, and match coverage is available online at the University of Tulsa's athletics website.


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Book Tour and Activities on the Go!
About the Activity:
A recreational adventure sport, paragliding takes you closest to flying without wings. In the beautiful hill station of Vagamon, Kerala you've an opportunity to take off and land into the welcoming arms of nature. Nature here is defined as sparkling rivulets, waterfalls and dense pine forests.
For this activity, rides are available from 11am to 4:30pm. Savor the joy of flying on this tandem paragliding experience of around 20 minutes.
Accompanied by trained instructors maneuvering you through this hillside destination, feel crisp mountain air caress gently. Over half hour, enjoy the tour and get a bird's eye view of picturesque Vagamon.
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U-boot for LS Pro
- 1 Background & Facts
- 2 Ready-Made U-Boot Images for LS Pro
- 3 Building U-Boot from ...
- 4 Flashing U-Boot to Your LS Pro
- 5 References
Background & Facts
What is U-Boot?
U-Boot, or Das U-Boot, is a open-source, universal bootloader that is used in the LinkStation Pro/Live/KuroPro and other ARM-based NAS devices that Buffalo Technology makes. It has become more widespread in its use in other brands as well. Pre-ARM LinkStations/Kuro's had a proprietary bootloader, though LinuxNotIncluded and other members of the community here worked to bring U-Boot to the PPC and Mipsel based LinkStation devices as well.
We are all looking forward to a new, clean port of U-Boot for the LinkStation Pro.
Why upgrade it?
The build of U-Boot that is stock on the LS Pro (v1 and v2) and its contemporaries has very limited features, at least in comparision to what we have for the PPC LinkStations. Some noteworthy limitations to and exclusions from its capabilities include:
- no NetConsole - with netconsole and NetCat, one can connect to the unit with serial-style console control, over the network
- maximum number of arguments is 16, making changes of some of the more complicated env vars from the U-Boot side difficult or impossible
- missing commands:
- run - run commands in an environment variable
- dhcp - invoke DHCP client to obtain IP/boot params
- bdinfo - print Board Info structure
- loadb - load binary file over serial line (kermit mode)
- loads - load S-Record file over serial line
- ping - send ICMP ECHO_REQUEST to network host
- coninfo - print console devices and information
- crc32 - checksum calculation
While some of these commands aren't really essential, the first few are quite advantageous to have, and missing them is an impediment. It is notable that LinuxNotIncluded's ports to PPC and Mipsel have all of these capabilities.
Thanks to jonli447, lb_worm and others who worked on this and left a trail to follow for the rest of us. Also, thanks to bbradley, Nicolas Pitre, Dominic Rath and others who are working on a clean port of U-Boot for Feroceon or doing great things w/ OpenOCD so we can have a better U-Boot for LS Pro's and the other ARM-based LinkStations.
Ready-Made U-Boot Images for LS Pro
- for the LS Pro V1
- for the LS Pro V2
- for the LS Pro V2 u-boot-full-DG_buffalo_nas_central-02282008.bin Note: this is experimental - read the Brick Warning below and use at your risk. It has been tested in a LS Pro V2 and works w/ the stock firmware and foonas. Forum thread and post pertaining to it: Custom U-Boot Image Available for LS Pro V2
Building U-Boot from ...
Buffalo GPL sources
1. Start by installing the Codesourcery Toolchain setup, shown here : Setting up the CodeSourcery Toolchain for x86-to-ARM Cross-Compiling. There is a handy auto-install script provided that is advantageous to use.
- Follow all the direction on the page linked to.
- By default it is the 2005q3 toolchain, and this is the (a) correct one to use for building U-Boot from the 1.1.1 source.
2. Adjust your environmental variables so that linking is correct.
3. Test your setup. It is suggested that you test your cross-compiler setup by building Linux 2.6.12 or 2.6.16, for instance. See this article for directions on how this is done. Both of these articles:
yield some good instructions and further hints.
Using the 1.1.1 Buff109 source
Now that your toolchain is set up, you have two choices for building U-Boot from Buffalo's GPL sources. The first choice, 1.1.1 Buff109, is ready to go, without any alterations needed and is known to work. The second choice, 1.1.4-working (the name of the directory inside the archive) is not quite ready for use, but is probably very close. It is tempting to try to work with it, since NetConsole is in this source already, just needing setup. It remains to be seen if whatever new U-Boot we get in the near future is developed from the Buffalo source, or from vanilla sources (perhaps more likely).
4. Get the source ready and read up on U-Boot.
- Download and untar the source u-boot-1.1.1_buf109.tar.gz to wherever you are going to compile it, probably in COMPILING.
- Read the README in the source for a lot of useful information about configuring U-Boot.
- Read the documentation on U-Boot, like this U-Boot Reference/Manual from the developer Denx.
5. (Optional) Make any adjustments to include/configs/db88f5181.h that you want to. Tinkering with this can have serious consequences - like a broken U-Boot, so use caution.
6. In the script buffalomake.sh comment out the line third line to look like this:
#. /opt/cross.conf
7. Run the script.
OR configure manually and make.
8. After a few minutes you should find a u-boot.bin in the source directory.
9. Make sure you read the Brick Warning before you attempt to flash.
Using the 1.1.4 "working" source
4. Get the source ready and read up on U-Boot.
- Download and untar the source u-boot-1.1.4.zip to wherever you are going to compile it, probably in COMPILING.
- Read the README in the source for a lot of useful information about configuring U-Boot.
- Read the documentation on U-Boot, like this U-Boot Reference/Manual from the developer Denx.
5. In the source, some symlinks have to be added to get it to compile. Trying any make *_config command will reveal problems. In particular, you may need to change the following directories so that the names are symlinks rather than actual directories:
include/asm/proc include/asm/arch include/asm
pointing, of course to the ARM counterparts for these.
6. Either configure manually and make, or use the buffalomake.sh script. Problem/Impasse: The images built with this source are too large. They must be 256k or smaller, and what is created is around 580kb.
Vanilla Sources
This is a work in progress. At least one community member is currently working on this.
Flashing U-Boot to Your LS Pro
From a Linux Box using JTAG
See this article on JTAG for the LS Pro for instructions and details. Normally, this is a last resort method for flashing U-Boot to ROM. It is used most often when one doesn't have a functioning U-Boot in ROM already.
From within U-Boot
1. Read the Brick Warning above first!. You brick it, you bought it.
2. Set up a tftp server and have your known valid u-boot image (called my_u-boot.bin here, adjust to your situation) sitting at its root directory. You may have to adjust either your U-Boot env vars or your network to have the tftp server at the correct ip given in U-Boots serverip variable.
3. While connected to the U-Boot console (either serial or netcat connection), from the U-Boot side issue the following commands (adjust my_u-boot.bin to your situation):
tftp 0x00100000 my_u-boot.bin protect off 1:0-63 erase 1:0-63 cp.b ${fileaddr} 0xfffc0000 ${filesize} protect on 1:0-63 saveenv
This should yield output similar to this.
Marvell>> tftp 0x00100000 u-boot_davy_02082008.bin Using egiga0 device TFTP from server 192.168.11.149; our IP address is 192.168.11.150 Filename 'u-boot_davy_02082008.bin'. Load address: 0x100000 Loading: ################################################# done Bytes transferred = 245776 (3c010 hex) Marvell>> protect off 1:0-63 Un-Protect Flash Sectors 0-63 in Bank # 1 ................................................................ done Marvell>> erase 1:0-63 Erase Flash Sectors 0-63 in Bank # 1 ................................................................ Marvell>> cp.b ${fileaddr} 0xfffc0000 ${filesize} Copy to Flash... done Marvell>> protect on 1:0-63 Protect Flash Sectors 0-63 in Bank # 1 ................................................................ done Marvell>> saveenv Saving Environment to Flash... . Un-Protected 1 sectors Erasing Flash... . Erased 1 sectors Writing to Flash... done . Protected 1 sectors
From within Linux on your LinkStation Pro
1. Read the Brick Warning above first!. You brick it, you bought it.
2. Not yet successfully tested, though it should be possible by using dd commands to an mtd dev. Should be possible, either from foonas-em, foonas, or even from FreeLink or JTY-MOD. If anyone has done this, please add your content here, after letting the community know at the Forum.
Forum Threads Related to this Subject
Build System for U-Boot on LS Pro


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