博客

The switch() statement isn't really evil, right?

In my current position, I work to optimize and parallelize codes that deal with genomic data, e.g., DNA, RNA, proteins, etc.

作者: Clay B. (Blackbelt) 最后更新时间: 2019/07/04 - 10:46
博客

MeowJS - A Web Performance Optimizer

作者: 最后更新时间: 2018/10/23 - 12:10
博客

Null Pointer Dereferencing Causes Undefined Behavior

I have unintentionally raised a large debate recently concerning the question if it is legal in C/C++ to use the &P->m_foo expression with P being a null pointer.

作者: Andrey Karpov (Blackbelt) 最后更新时间: 2018/05/30 - 07:08
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

Diagnostic 15423: loop has only one iteration

Product Version: Intel® Fortran Compiler 15.0 and a later version 

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

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

作者: 最后更新时间: 2019/07/16 - 08:37
Article

Intel® Math Kernel Library - Introducing Vectorized Compact Routines

Introduction     
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/04 - 21:35
Article

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/07/31 - 12:11
Article

最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/08/09 - 02:02
Article

Intel® Data Analytics Acceleration Library - Decision Trees

Decision trees method is one of most popular approaches in machine learning. They can easily be used to solve different classification and regression tasks.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/09/17 - 16:25