A Study on the Influence of Caching: Sequences of Dense Linear Algebra   Kernels
  It is universally known that caching is critical to attain high- performance implementations: In many situations, data locality (in space and time) plays a bigger role than optimizing the (number of) arithmetic floating point operations. In this paper, we show evidence that at least for linear algebra algorithms, caching is also a crucial factor for accurate performance modeling and performance prediction. 
Elmar Peise (1), Paolo Bientinesi (1) ((1) AICES, RWTH Aachen)
cs.MS cs.NA cs.PF