The Intel® C++ Compiler 19.0 and the Intel® Fortran Compiler 19.1 support the OpenMP* SIMD SCAN feature for inclusive and exclusive scans.
How to install and enable Offload Over Fabric, configure the hardware, and test the configuration.
Learn techniques for vectorizing code, adding thread-level parallelism, and enabling memory optimization.
With multi-core processors now common place in PCs, and core counts continually climbing, software developers must adapt. By learning to tackle potential performance bottlenecks and issues with concurrency, engineers can future-proof their code to seamlessly handle additional cores as they are added to consumer systems.
Some instructions and a simple example showing how to call Intel® MKL from Python*,
Contrast results for manually tuning financial data and using data layout templates in the Intel® C++ Compiler.
Optimizing Image Resizing Example of Intel® Integrated Performance Primitives (Intel® IPP) With Intel® Threading Building Blocks and Intel® C++ Compiler. Intel® System Studio 2016 Linux*
For Intel® System Studio 2015, find the corresponding article here ->
Learn how to use Offload over Fabric software for a server migration path.