optimization
Speeding Up Your Cloud Environment On Intel® Architecture
In my previous blog, I discussed “Ways to Speeding up Your Cloud Environment…”, I will continue with this thread by introducing the topic of Software Defined Networks (SDN). The industry has been depending on proprietary networking equipment and appliances, essentially creating an environment requiring vertical integrated software running on dedicated hardware.
Memory and Cache Profiling Erratum on Intel® Xeon® processor E5 family
Audience: Anyone collecting event based performance data on a platform based on the Intel® Xeon® processor E5 family.
Using Intel® VTune™ Amplifier XE to Tune Software on the Intel® Xeon® Processor E5 Family
Download this guide to learn how to identify performance issues on software running on the Intel® Xeon® Processor E5 family
(based on Intel® Microarchitecture Codename Sandy Bridge-EP/EX/EN). The guide explains how to use Intel® VTune™ Amplifier XE's General Exploration profile for Xeon processor E5 servers. It explains how to identify the most common software performance issues and gives suggestions for how to address each.
Android ffmpeg的x86编译和优化
Android内置的编解码器比较少，流媒体功能也比较薄弱，现有的android关于远程视频的程序大部分使用了FFMPEG。FFmpeg是一个开源免费跨平台的视频和音频流方案，属于自由软件，采用LGPL或GPL许可证（依据你选择的组件）。它提供了录制、转换以及流化音视频的完整解决方案。它包含了非常先进的音频/视频编解码库libavcodec，为了保证高可移植性和编解码质量，libavcodec里很多codec都是从头开发的。FFmpeg支持MPEG、DivX、MPEG4、AC3、DV、FLV等40多种编码，AVI、MPEG、OGG、Matroska、ASF等90多种解码.TCPMP, VLC, MPlayer等开源播放器都用到了FFmpeg。这些播放器也大部分移植到了Android 上，只是都是基于ARM的，本文基于目前流行的2个开源项目，介绍了如何移植FFMPEG到x86的android平台上。
Introduction to Parallel Programming video lecture series – Part 01 “Why Parallel? Why Now?”
The lecture given here is the first part in the “Introduction to Parallel Programming” video series. This part endeavors to define parallel computing, explain why parallel computing is becoming mainstream, and explain why explicit parallel programming is necessary. This part sets the tone for the other 11 parts in the series.
Running time: 9:51
How to Optimize Code for the Most-Often Used Code Path
Challenge
Overcome the limitation of optimizing compilers in terms of not knowing which code-execution path is most likely to be used. For example, an optimizer can refine a long series of if statements and have it run at great speed; but if it does not know that in the majority of runs, the very last test is the one that is run, the optimizer cannot rearrange the sequence for best possible performance. It has to work on the assumption that all if tests in the sequence are equally probable.
A Guide to Auto-vectorization with Intel® C++ Compilers
How to use the automatic vectorizer of the Intel® C/C++ Compiler to optimize your application using Intel Streaming SIMD Extensions (Intel SSE) or Intel Advanced Vector Extensions (Intel AVX).
Optimizing Without Breaking a Sweat
This article describes novel techniques developed to optimize DreamWork Animation's rendering, animation, and special effects applications without recompiling or relinking by preloading highly optimized libraries at run-time.
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