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
GPU Accelerated Image Filters
Convolution of two audio files for Signals and systems university lesson
Introduction to PyCuda GPU programming.
Cuda Programming in GPU Computing Course(MCC302) at IIT ISM Dhanbad
Выполненные лабораторные по курсу: "Высокопроизводительные и облачные вычисления".
Common OCR using neural networks
simple cuda optimized mnist classifier
Development for my M.Tech Thesis: Deep Learning Techniques for Road Segmentation in Indian Context
Boilerplate app for enabling parallel execution of pattented structural bioinformatics algorithm on GPUs using PyCUDA/CUDA framework.
High performance computing Images with pycuda and tensorrt preinstalled
Run yolo V8 models as tensorrt engines natively for maximum performance 🏎️💨
Enhancing the overall quality of the images in the shortest amount of time possible by using the concept of parallelism.
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."