This week’s NVIDIA announcement of a dressed up version of its CUDA parallel computing platform is targeted as a good news message for engineers, biologists, chemists, physicists, geophysicists, and other researchers on fast-track computations using GPUs. The new version features an LLVM (low-level virtual machine)-based CUDA compiler, new imaging and signal processing functions added to the NVIDIA Performance Primitives library and a redesigned Visual Profiler with automated performance analysis and expert guidance. NVIDIA says the new enhancements are ways to advance simulations and comput
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This week’s NVIDIA announcement of a dressed up version of its CUDA parallel computing platform is targeted as a good news message for engineers, biologists, chemists, physicists, geophysicists, and other researchers on fast-track computations using GPUs. The new version features an LLVM (low-level virtual machine)-based CUDA compiler, new imaging and signal processing functions added to the NVIDIA Performance Primitives library and a redesigned Visual Profiler with automated performance analysis and expert guidance. NVIDIA says the new enhancements are ways to advance simulations and comput
You may add your comment at any time with the help of the form at the page bottom.
Currently no comments
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