CUDA C++ Core Libraries
-
Updated
May 30, 2024 - C++
CUDA C++ Core Libraries
Finite Field Operations on GPGPU
Written by Sem Kirkels, Nathan Bruggeman and Axel Vanherle. Grayscales an image, applies convolution, maximum pooling and minimum pooling.
Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.
Paperspace CORE API Documentation
My solutions for NVIDIA course Fundamentals of Accelerated Computing with CUDA C/C++
The project aims to optimize the Dynamic Time Warping (DTW) algorithm and accelerate it using Graphics Processing Units (GPUs), So that algorithm can be executed in a GPU-equipped laptop or a GPU-equipped embedded device like NVIDIA Jetson, rather than connecting to a massive server.
Talks and Presentations on Deep Learning principles,models and architectures
Advance Statistical Computing, 2019, Seoul National University
Add a description, image, and links to the accelerated-computing topic page so that developers can more easily learn about it.
To associate your repository with the accelerated-computing topic, visit your repo's landing page and select "manage topics."