Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
作者: 最后更新时间: 2018/12/12 - 18:00

Five Big Insights from the Student Winner of the Intel® Modern Code Developer Challenge

As Shared by Mathieu Gravey, Grand-Prize Winner of the Intel Modern Code Developer Challenge
作者: Mathieu Gravey 最后更新时间: 2018/12/12 - 18:08

Quick Analysis of Vectorization Using Intel® Advisor

Find out how to use the command-line interface in Intel® Advisor 2017 for a quick, initial analysis of loop performance that gives an overview of the hotspots in your code.
作者: Alberto V. (Intel) 最后更新时间: 2019/09/30 - 17:28

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
作者: 管理 最后更新时间: 2019/09/30 - 17:28

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
作者: 最后更新时间: 2019/10/15 - 15:30

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
作者: David M. 最后更新时间: 2019/10/15 - 15:30

Optimization Techniques for the Intel® MIC Architecture: Part 2 of 3

作者: 管理 最后更新时间: 2019/10/15 - 16:40

3D 同性声波有限差分波动方程代码:多核处理器实施与分析

有限差分是一个简单有效的数学工具,用于求解微分方程。在本文中,我们将利用明确的时间域有限差分求解同性声波 3D 波动方程。

作者: Sunny G. (Intel) 最后更新时间: 2019/10/15 - 16:40

3D Isotropic Acoustic Finite-Difference Wave Equation Code: A Many-Core Processor Implementation and Analysis

Finite difference is a simple and efficient mathematical tool that helps solve differential equations.

作者: Sunny G. (Intel) 最后更新时间: 2019/10/15 - 16:40

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/10/15 - 16:40