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OpenACC

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OpenACC is a directive-based parallel programming model for C, C++, and Fortran.

It is most often associated with directive-based programming for GPU computers,

but has also been used for programming multi-core CPUs and FPGAs. OpenACC is

developed and maintained by members of the OpenACC standard organization.

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ShadyBoukhary / GPU-research-FFT-OpenACC-CUDA

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Case studies constitute a modern interdisciplinary and valuable teaching practice which plays a critical and fundamental role in the development of new skills and the formation of new knowledge. This research studies the behavior and performance of two interdisciplinary and widely adopted scientific kernels, a Fast Fourier Transform and Matrix M…

acceleration parallel-computing cuda fast-fourier-transform gpu-acceleration fft gpu-computing pgi-compiler openacc radix-2 nvcc gpu-programming pgi
  • Updated Aug 26, 2018
  • Cuda

Umer-Farooq-CS / MNIST-Classification

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The MNIST classification problem is a fundamental machine learning task that involves recognizing handwritten digits (0- 9) from a dataset of 70,000 grayscale images (28x28 pixels each). It serves as a benchmark for evaluating machine learning models, particularly neural networks.

benchmarking deep-learning parallel-computing cuda mnist neural-networks high-performance-computing gpu-acceleration profiling shared-memory openacc performance-optimization c-cpp nsight tensor-cores cuda-streams pinned-memory
  • Updated Sep 12, 2025
  • Cuda

Released November 2011

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OpenACC
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