Performance tuning of an existing application is truly a challenge and it depends on a lot of factors like the nature of algorithm the application works on, if the implementation is scalable
Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism. It provides three new keywords to i
NumPy UMath Optimizations
Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)
The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.
This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).
By Taylor Kidd, Intel Corporation
This article is essentially a collection of blogs I wrote on the same subject. The differences are simply a degree of formalism.