GPU programming harnesses the power of Graphics Processing Units and parallel computing for intense tasks like numerical simulations in Astro- or Biophysics
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Updated
Aug 4, 2017 - Cuda
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
GPU programming harnesses the power of Graphics Processing Units and parallel computing for intense tasks like numerical simulations in Astro- or Biophysics
🚜 🚙Programming with Cuda on IPython Notebook
Device Agnostic Microbenchmarking Suite Exploring Low-level CUDA features
University project on Sparse Matrix transposition with CUDA.
LeNet-1 Forward Propagation algorithm in CUDA
Implementation of k-Closest Circles (KCC) algorithm using Nvidia CUDA and C.
The operations were performed with carefully designed for Nvidia 980.
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993