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Intel Vectorization Toolkit: 3. Determine Loop Candidates Using Intel Compiler Vec-Report

Intel Vectorization Toolkit: 3. Vectorization report for loop candidates
作者: AmandaS (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Introduction to the Intel® MKL Extended Eigensolver

 

作者: Zhang, Zhang (Intel) 最后更新时间: 2019/07/06 - 16:30
Article

A Matrix Multiplication Routine that Updates Only the Upper or Lower Triangular Part of the Result Matrix

  Background

Intel® MKL provides the general purpose BLAS*  matrix multiply routines ?GEMM defined as follows:

作者: Zhang, Zhang (Intel) 最后更新时间: 2019/07/12 - 14:46
博客

Fun with Intel® Transactional Synchronization Extensions

By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).

作者: 最后更新时间: 2019/07/04 - 17:00
Article

Code size optimization using the Intel® C/C++ Compiler

Code size optimization is a key factor, especially critical in embedded systems requiring code size reduction at the cost of application speed!

作者: 管理 最后更新时间: 2018/12/13 - 14:10
Article

Intel® Platform Analysis Library Metrics Framework Release Notes

Click "Download Now" below to obtain and view Intel® Platform Analysis Library Metrics Framework release notes.

作者: 最后更新时间: 2019/06/23 - 18:50
Article

Improve Intel® MKL Performance for Small Problems: The Use of MKL_DIRECT_CALL

One of the big new features introduced in the Intel® Math Kernel Library (Intel® MKL) 11.2 is the greatly improved performance for small problem sizes.

作者: Zhang, Zhang (Intel) 最后更新时间: 2019/07/07 - 10:35
Article

Analyzing Intel® SDE's TSX-related log data for capacity aborts

Starting with version 7.12.0, Intel® SDE has Intel® TSX-related instruction and memory access logging features which can be useful for debugging Intel® TSX's capacity aborts.

作者: 最后更新时间: 2019/07/06 - 10:52
Article

Intel® Math Kernel Library 11.2 Update 2 is now available

 

作者: Gennady F. (Blackbelt) 最后更新时间: 2018/05/29 - 09:28
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