Hideki Saito

TL;DR: It is demonstrated that the otherwise uncontrolled growth of the Ninja gap can be contained and offer a more stable and predictable performance growth over future architectures, offering strong evidence that radical language changes are not required.

TL;DR: It is demonstrated that one can contain the otherwise uncontrolled growth of the Ninja gap and offer a more stable and predictable performance growth over future architectures, offering strong evidence that radical language changes are not required.

TL;DR: The benchmark suite SPEC MPI2007, which includes 13 technical computing applications from the fields of computational fluid dynamics, molecular dynamics, electromagnetism, geophysics, ray tracing, and hydrodynamics, is described and compared with other benchmark suites.

TL;DR: Several practical SIMD vectorization techniques such as less-than-full-vector loop vectorization, Intel® MIC specific alignment optimization, and small matrix transpose/multiplication 2-Dvectorization implemented in the Intel® C/C++ and Fortran production compilers for Intel® Xeon Phi coprocessors are presented.

TL;DR: This study shows that, at the loop-level, the upper bound on the arithmetic mean and geometric mean speedup achievable via TLS across SPEC CPU2000 is 39.16% (standard deviation = 31.23) and 18.18% respectively.