This is a university project, a parallel implementation of the Smith-waterman algorithm
-
Updated
Aug 8, 2023 - Jupyter Notebook
This is a university project, a parallel implementation of the Smith-waterman algorithm
Convolution of two audio files for Signals and systems university lesson
SParry is a shortest path calculating Python tool using some algorithms with CUDA to speedup.
Introduction to PyCuda GPU programming.
Cuda Programming in GPU Computing Course(MCC302) at IIT ISM Dhanbad
GPU accllerated program for Neighbor-Joining algorithm of Biopython library with PyCUDA
Выполненные лабораторные по курсу: "Высокопроизводительные и облачные вычисления".
Common OCR using neural networks
simple cuda optimized mnist classifier
🐳🐍Pycuda Docker Environment for GPU Accelerated Python
Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
Boilerplate app for enabling parallel execution of pattented structural bioinformatics algorithm on GPUs using PyCUDA/CUDA framework.
Add a description, image, and links to the pycuda topic page so that developers can more easily learn about it.
To associate your repository with the pycuda topic, visit your repo's landing page and select "manage topics."