NVIDIA dresses up CUDA parallel computing platform

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... (PhysOrg.com) -- 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 computational work for these users.

... . The company promotes CUDA as the pathway to achieve dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). According to the company, with CUDA, a developer can send C, C++ and Fortran code straight to the GPU; no assembly language is required.