Researchers at MIT claim their modifications to the LLVM compiler framework can help more kinds of code take advantage of parallel processing, with little or no developer effort If you want to go fast ...
A superparallel future may need new languages, but for now there's Milk, MIT's big data acceleration system that works with tools in existing C/C++ applications Earlier this week, MIT’s Computer ...
Programming parallel processors isn't easy, especially when the number of processing elements is large. No single technique applies to all situations. But in its Storm-1 architecture, Stream ...
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