accelerated-computing
There are 12 repositories under accelerated-computing topic.
NVIDIA/cccl
CUDA Core Compute Libraries
itzmeanjan/ff-gpu
Finite Field Operations on GPGPU
SousaPedroso/CUDA
My solutions for NVIDIA course Fundamentals of Accelerated Computing with CUDA C/C++
shumbul/Accelerated-Computing
Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.
axelvanherle/imgConvolutionCuda-C
Written by Sem Kirkels, Nathan Bruggeman and Axel Vanherle. Grayscales an image, applies convolution, maximum pooling and minimum pooling.
z1skgr/SIMD-instruction-MPI-PTHREADS-parallism
Parallelism standards for accelerating performance on calculations for detection of positive DNA selection
cepdnaclk/e16-4yp-Acceleration-of-DTW-algorithm-for-real-time-nanopore-selective-sequencing-using-GPUs
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.
jman4162/Accelerated-Python-Computing-for-ML-Applications
This repository contains an advanced tutorial on optimizing Python code for machine learning applications, focusing on processing large amounts of data efficiently. It covers three powerful libraries: Numba, NumPy, and Polars.
Paperspace/CORE-API-Docs
Paperspace CORE API Documentation
mjkim1001/asc19-project
Advance Statistical Computing, 2019, Seoul National University
abhilash1910/My-Talks-and-Sessions
Talks and Presentations on Deep Learning principles,models and architectures
HROlive/Fundamentals-of-Accelerated-Computing-with-CUDA-Python
Fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler.