Implementing High Performance Computation on General Mathematics Operation
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Updated
Dec 30, 2021 - C++
Implementing High Performance Computation on General Mathematics Operation
aes on a device - Nvidia Graphics Card -
I created this repository as an interest to how well apple metal will do in a sample deep learning models opposed to Nvidia Cuda
GPUDirect Async implementation of HPGMG-FV CUDA
Gaussian Kernel in NVIDIA CUDA
pyhf Docker images built on Nvidia Container Toolkit enabled base images
RMAT Graph Generator for NVIDIA CUDA
This repository conducts a comprehensive analysis of image denoising technique - median blur, comparing GPU-accelerated (Numba) and CPU-based (OpenCV) processing speeds. Using diverse images, the project applies median filtering to assess efficiency providing insights into the practical impacts of hardware acceleration in real-world applications
Some tricks to speed up the codes written with PyTorch library.
Automatic transcriber made with the Nvidia NeMo AI toolkit. Used to transcribe speech to text in real-time from any source. Requires CUDA capable GPU to run on the local machine, if setup using virtual audio cables can transcribe the audio that is being played in real-time without any other requirements.
Ray marching renderer of the 3D mandelbox fractal, accelerated with CUDA GPU code
This system tracks artifacts in museum and triggers alarm if artifact goes missing from the frame.
Benchmark utility with parallelization capabilities
Bechmarck basado en la operacion suma para CPU y GPUs Nvidia con tecnología CUDA.
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