How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Programming for Multicore and Many-core Products including Intel® Xeon® processors and Intel® Xeon Phi™ X100 Product Family coprocessorsThe programming models in use today, used for multicore processors every day, are available for many-core coprocessors as well. Therefore, explaining how to program both Intel Xeon processors and Intel Xeon Phi coprocessor is best done by explaining the options for parallel programming. This paper provides the foundation for understanding how multicore processors and many-core coprocessors are...
As announced last week by James, future Intel
Learn more about an in-depth analysis of code modernization performance conducted by optimizing original CPU code and re-running tests on the latest GPU/CPU hardware.
This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Modern server farms consist of a large number of heterogeneous, energy-efficient, and very high-performance computing nodes connected with each other through a high-bandwidth network interconnect. Such systems pose one of the biggest challenges for engineers and scientists today: how to solve complex, real-world problems by efficiently using the enormous computational horsepower available from...
One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
The Intel® Xeon Phi™ processor, code named Knights Landing, is part of the second generation of Intel Xeon Phi products. Knights Landing supports Intel® AVX-512 instructions, specifically AVX-512F (foundation), AVX-512CD (conflict detection), AVX-512ER (exponential and reciprocal) and AVX-512PF (prefetch).