A complete x86 race checker accelerated by Cuda GPU
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Updated
Nov 17, 2018 - Cuda
A complete x86 race checker accelerated by Cuda GPU
Celular automata | gpgpu computing
Micromagnetic simulator on CUDA
implemented using CUDA API as an example of GPGPU computing
This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.
Realtime text detection and recognition in natural scene images (in the wild) using artificial-intelligence
This sample code is experimental. It's too many batches and the Setpass calls. It does work as the GPGPU.
This is a repository with sample codes for testing memory bandwidth, arithmetic latency hiding and shared/local memory performance on AMD and nVidia devices
OpenCL based lightweight c computing library
Code of my M.Sc. Thesis "GPU Acceleration of the Material Point Method"
A library for using accelerators (CUDA and OpenCL) in modern C++
Collisional Multi-Fluid ion MHD code
Learning how to design heterogeneous compute applications using OpenCL with an emphasis on GPU acceleration
Sample project showing parallelism both on CPUs and GPUs in c#.
A GPGPU Transparent Virtualization Component for High Performance Computing Clouds.
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