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2015年5月21日 星期四
latest version of RAD Studio,
2015年5月12日 星期二
Free Trial: Intel Parallel Studio XE 2015
Free Trial: Intel Parallel Studio XE 2015
Deliver top application performance and reliability with Intel Parallel Studio XE 2015. These C ++ and Fortran tool suites simplify the development, debugging, and tuning of code. Try it out for free.
Deliver top application performance and reliability with Intel Parallel Studio XE 2015. These C ++ and Fortran tool suites simplify the development, debugging, and tuning of code. Try it out for free.
Vectorization, SIMD Architecture: What You Need to Know
Vectorization, SIMD Architecture: What You Need to KnowShare your comment!
One of the approaches to parallel programming is vectorization, which is a way of performing batch operations all with a single assembly language instruction. In the first article of a new series, Jeff Cogswell walks you through the basics of vectorization with the Intel processors.
Vectorization is a topic we’ve covered a great deal here at
The Best Parallel Programming Models and How to Implement Them
The Best Parallel Programming Models and How to Implement Them
The most common and useful parallel programming models include vectorization, multi-threading, multi-processing, and a hybrid of all three. In this video, Rick Leinecker walks you through all four models and provides code examples. Take a look and share your thoughts in the comments section on our story page.
The most common and useful parallel programming models include vectorization, multi-threading, multi-processing, and a hybrid of all three. In this video, Rick Leinecker walks you through all four models and provides code examples. Take a look and share your thoughts in the comments section on our story page.
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