Applying Intel® Threading Building Blocks Observers for Thread Affinity on Intel® Xeon Phi™ Coprocessors
In spite of the fact that the Intel® Threading Building Blocks (Intel® TBB) library   provides high-level task based parallelism intended to hide sof
The latest Intel® Xeon® processor E7 v2 family includes a feature called Intel® Advanced Vector Extensions (Intel® AVX), which can potentially improve application performance.
Yep. Here is another blog series from yours truly. Unfortunately, it will delay my long awaited – at least by me – discussion on measuring power.
Here is a rough outline for the blogs:
We had an ask from one of the various "Birds of a Feather" meetings Intel® holds at venues such as at the Super Computing* (SC) and International Super Computing* (ISC) conferences.
Following my previous blogs, Detecting CPU-bound Applications in Ser
We Introduced a useful verbose mode support feature since the Intel® Math Kernel Library (Intel® MKL) 11.2, for BLAS and LAPACK domains.
Unlike a lot of previous recent blogs, this series is about power management in general. At the very end of the series, I’ll write specifically about the Intel® Xeon Phi™ coprocessor.
Intel® Math Kernel Library includes powerful and versatile random number generators that have been optimized to take full advantage of Intel
Power management policy has evolved over the years.
Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.