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Article

Designing the Framework of a Parallel Game Engine

How to Get the Most Out of a Multi-Core CPU with Your Game Engine
作者: 最后更新时间: 2018/12/12 - 18:00
Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
作者: 最后更新时间: 2019/07/31 - 14:30
Article

Benefitting Power and Performance Sleep Loops

This article provides recommendations to improve performance and limit power consumption of multi-threaded applications on multicore processors.
作者: Joe Olivas (Intel) 最后更新时间: 2019/07/08 - 15:07
Article

Case Study: Parallelizing a Recursive Problem with Intel® Threading Building Blocks

Intel worked closely with DreamWorks Animation engineers to improve the performance of a key rendering system library by up to 35X performance improvement in some cases.
作者: Louis F. (Intel) 最后更新时间: 2019/07/10 - 16:59
Article

Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00
Article

Vectorizing Loops with Calls to User-Defined External Functions

Introduction

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00
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
Article

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
Article

Peel the Onion (Optimization Techniques)

This paper is a more formal response to an Intel® Developer Zone forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).
作者: jimdempseyatthecove (Blackbelt) 最后更新时间: 2018/12/12 - 18:00
Article

Fast Computation of Huffman Codes

The generation of Huffman codes is used in many applications, among them the DEFLATE compression algorithm. The classical way to compute these codes uses a heap data structure. This approach is fairly efficient, but traditional software implementations contain lots of branches that are data-dependent and thus hard for general-purpose CPU hardware to predict. On modern processors with deep...
作者: James Guilford (Intel) 最后更新时间: 2019/07/09 - 16:09