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OpenMP* SIMD for Inclusive/Exclusive Scans

The Intel® C++ Compiler 19.0 and the Intel® Fortran Compiler 19.1 support the OpenMP* SIMD SCAN feature for inclusive and exclusive scans.
Authored by Varsha M. (Intel) Last updated on 07/23/2019 - 09:16
Documentation

Intel® C++ Compiler Code Samples from Intel® C++ Compiler Code Samples

Intel® Cilk™ Plus has been deprecated in the Intel® C++ Compiler 18.0. Prefer to use OpenMP-based syntax for offloading to the processor graphics.

Last updated on 03/21/2019 - 09:08
Article

Using Tasks Instead of Threads

Tasks are a lightweight alternative to threads that provide faster startup and shutdown times, better load balancing, an efficient use of available resources, and a higher level of abstraction.
Authored by admin Last updated on 07/05/2019 - 09:41
Article

Utilizando tarefas ao invés de threads

Tasks are a lightweight alternative to threads that provide faster startup and shutdown times, better load balancing, an efficient use of available resources, and a higher level of abstraction.
Authored by admin Last updated on 07/05/2019 - 09:53
Article

Virtual Vector Function Supported in Intel® C++ Compiler 17.0

Intel® C++ Compiler 17.0 starts supporting virtual vector functions.

Authored by Chen, Yuan (Intel) Last updated on 06/01/2017 - 11:32
Article

Multi-core Intermediate

Introduction
Authored by Nguyen, Khang T (Intel) Last updated on 07/13/2018 - 17:29
Article

Explicit Vector Programming in Fortran

No longer does Moore’s Law result in higher frequencies and improved scalar application performance; instead, higher transistor counts lead to increased parallelism, both through more cores and thr

Authored by Martyn Corden (Intel) Last updated on 03/27/2019 - 15:50
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Authored by JON J K. (Intel) Last updated on 05/30/2018 - 07:00
Article

Large Matrix Operations with SciPy* and NumPy*: Tips and Best Practices

Introduction
Authored by Last updated on 07/06/2019 - 22:04
Blog post

Unleash the Parallel Performance of Python* Programs

[updated 10/5/2018]

Authored by Anton Malakhov (Intel) Last updated on 10/05/2018 - 18:24