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==GPGPU computations== ...|alt= Figure illustrating a SIMD/vector computation unit in GPGPUs..|thumb|GPGPU/SIMD computation model]] ...

at the moment [[GPGPU]]s have proven to be most efficient.<ref name="schaefer"> ==Libraries== ...

...and tools. It can be used to enhance extant applications, create multicore libraries, and even create standalone applications by linking the resulting code with The runtime environment is a pre-compiled set of libraries which works with the compiled parallelized C++ code to execute optimally on ...

...rogramming flow and even tools as well as leverage existing extensions and libraries available for OpenCL C. ...ptions, pointer to member functions, references to functions, C++ standard libraries.<ref name=":3" /> C++ for OpenCL extends the concept of separate memory reg ...

|World's first FPGA GPGPU * Fully software stack with compilers, debugger, IDE environment and math libraries for applications. C, C++, Python languages supported ...

...Re..37.1311O}}</ref> In 2005, another paper also emphasised the value of [[GPGPU]] for [[machine learning]].<ref>{{cite conference |author1=Dave Steinkraus == Notable libraries == ...