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

Intel® Performance Counter Monitor - A Better Way to Measure CPU Utilization

The Intel® Performance Counter Monitor provides sample C++ routines and utilities to estimate the internal resource utilization of the latest Intel® Xeon® and Core™ processors and gain a significant performance boost.
作者: Thomas Willhalm (Intel) 最后更新时间: 2019/07/12 - 08:25

Characters, Encodings, and Globalization

“I don’t know, but it works on my machine!!” Ever said that? Ever heard that? Ever wondered why it happens?

作者: 最后更新时间: 2018/05/30 - 07:00

Introduction to the Intel® MKL Extended Eigensolver


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

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


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

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

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

Getting Started with libGDX, a Cross-platform Game Development Framework

Developers who want to develop and debug code on the desktop, natively yet be able to run it on multiple OSs without modification will want to know about libGDX.

作者: 最后更新时间: 2019/05/09 - 13:08

MeshCentral - Introduction & Overview

作者: Ylian S. (Blackbelt) 最后更新时间: 2019/05/30 - 16:46

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