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Mathematica for CUDA and OpenCL Programming
07 Mar 2011 | | Contributor(s):: Ulises Cervantes-Pimentel, Abdul Dakkak
In the latest release of Mathematica 8, a large number of programming tools for GPU computing are available. In this presentation, new tools for CUDA and OpenCL programming will be explored. Several applications, including image processing, medical imaging, multi-gpu, statistics and finance will...
Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 12: Structuring Parallel Algorithms
15 Sep 2009 | | Contributor(s):: Wen-Mei W Hwu
Structuring Parallel AlgorithmsTopics: Key Parallel Programming Steps Algorithms Choosing Algorithm Structure Mapping a Divide and Conquer algorithm Tiled Algorithms Increased work per thread Double Buffering Loop Fusion and Memory Privatization Pipeline or "Spatial Computing Model" These...
Juan C. Meza