{'fraction_non_alphanumeric': 0.018156424581005588, 'fraction_numerical': 0.006983240223463687, 'mean_word_length': 5.2894736842105265, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Latency hiding in parallel systems: a quantitative approach

In many parallel applications, network latency causes a dramatic
loss in processor utilization. This paper examines software
pipelining as a technique for network latency hiding. It
quantifies the potential improvements with
detailed,instruction-level simulations.
The benchmarks used are the Livermore Loop kernels and BLAS Level
1.
These were parallelized and run on the instruction-level RISC
simulator DLX, extended with both a blocking and a pipelined
network. Our results show that prefetch in a pipelined network
improves performance by a factor of 2 to 9, provided the network
has sufficient bandwidth to accept at least 10 requests per
processor.