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Showing 2 open source projects for "gpu benchmark"
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. ... -
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FFFF is the fastest Win32/OSX/Linux/IRIX Mandelbrot generator. Features OpenGL, realtime zoom, SSE/AltiVec QuadPixel, SSE2/3DNow! DualPixel calc, FPU per pixel calc, GPU asm (Fragment/Vertex) calc, multiprocessor support, and benchmarking. Opt asm code!
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