Intel Parallel Inspector

Easy Ways to Solve Parallel Performance Challenges Webinar Questions and Answers

During “Easy Ways to Solve Parallel Performance Challenges” webinar presented by Gary Carleton, April 21, we received the following questions and we thought we share them with you
  • Intel® Parallel Studio XE
  • Intel Parallel Inspector
  • Intel Parallel Composer
  • Intel Parallel Amplifer
  • n-bodies: a parallel TBB solution: parallel code: first run’s fatal flaw

    Last time when I resumed the exploration of my simple n-body gravitational simulator, I produced some performance numbers and revealed that there is a flaw in the first parallel version of the algorithm.  But then Intel® Parallel Composer Update 5 was released last week, so I updated my tools.  That means I need a new benchmark run to see how the baseline has been affected.

    用Parallel Inspector检测出一个项目的内存错误

    最近在做项目开发中,使用了一个开源的代码框架,Debug编译的时候一切正常,但是在Release时候就挂了。找了老半天也没找出哪里错,因为一下就跳到系统DLL,然后就崩溃了,连call stack都看不到了,应该是堆栈被破坏了。根据经验判定可能是内存分配释放问题,因为Release版本可能暴露出一些Debug版本的内存使用问题。

    SP1 for Intel Parallel Studio - service pack worth installing!

    Intel® Parallel Studio Service Pack 1 is now available, adding support for Windows* 7.

    SP1 is well worth downloading and installing - here are some of the reasons:

    1. Parallel Inspector and Parallel Amplifier can be driven (for automating test suites) from the command line now.

    2. Bug fixes - of course - not many issues needed fixing, but you may appreciate the ones bugs that were found and fixed!

    When test suites fail us (when they meet parallelism).

    Another week and another customer shared how messed up their test suites were because of parallel programming. So where are we going wrong?

    First, it is natural to feel confused and disoriented when a failure "escapes" into the wild.  In other words, when a bug is not caught by our test suites it is natural to DEMAND an plan to correct this failure!

    Second, it is common to fall back on a simple belief: an "escape" means we need MORE tests.

    This is where parallelism trips us up.

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