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Choosing between OpenMP* and Explicit Threading Methods

OpenMP provides a powerful, portable, and simple means of threading applications. In some cases, however, developers should choose the flexibility of native threading APIs. The guidelines in this article help to identify whether OpenMP is an appropriate choice for a given situation.
作者: 最后更新时间: 2017/06/01 - 11:19
Article

Pointer Checker: A key feature of Intel® Parallel Studio XE 2016 product

Pointer Checker is a key feature of the Intel® Parallel Studio XE 2016 which performs bounds checking, providing full checking of all memory accesses through pointers — and identifies any out-of-bo

作者: 管理 最后更新时间: 2019/08/01 - 19:48
Article

Vectorizing Intel(R) TBB parallel_for block

This article demonstrates on how to write vector friendly code inside Intel(R) TBB parallel_for block. Consider the below code snippet:

作者: Anoop M. (Intel) 最后更新时间: 2019/08/01 - 09:30
Article

Symbol Lookup Error When Linking Intel® MKL with GCC on Ubuntu*

Operating System:   Ubuntu* 12.04, Ubuntu 13.10

作者: Ying H. (Intel) 最后更新时间: 2018/08/17 - 14:34
Article

Controlling Floating-Point Modes When Using Intel® Threading Building Blocks

Intel® Threading Building Blocks (Intel® TBB) 4.2 Update 4 introduced enhanced support for managing floating-pointing settings.

作者: Alex (Intel) 最后更新时间: 2019/08/01 - 09:30
Article

Introducing Batch GEMM Operations

The general matrix-matrix multiplication (GEMM) is a fundamental operation in most scientific, engineering, and data applications. There is an everlasting desire to make this operation run faster.

作者: Fiona Z. (Intel) 最后更新时间: 2018/05/30 - 07:00
Article

Using Intel® MKL and Intel® TBB in the same application

Intel MKL 11.3 has introduced Intel TBB support.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/08/01 - 09:22
Article

Using OpenCL™ 2.0 Read-Write Images

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
作者: 最后更新时间: 2019/05/31 - 14:20
Article

使用 OpenCL™ 2.0 读写图片

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
作者: 最后更新时间: 2019/05/31 - 14:20
Article

SPIR-V is a better SPIR with Intel® OpenCL™ Code Builder

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作者: Robert I. (Intel) 最后更新时间: 2019/07/08 - 14:19