There are 2 repositories under gpus topic.
TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
SIPEC: the deep-learning Swiss knife for behavioral data analysis
A part of code for "Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation"
Code Examples explained in QCon-London 2020 about TornadoVM
A bundle of bash scripts to make headless crypto mining on linux a simple reality. Unfortunately only NVIDIA support for now.
Functional Graph Database on GraphBLAS
Parallel programming framework for accelerating Java programs on GPUs and multi-core CPUs.
ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.
A simple job scheduling tool to manage tasks and GPUs in a single machine with multiple GPUs.
Using Openshift to train and serve AI/ML models
Making vGPUs work with OpenShift Virtualization
GPU graph mining
Short course: High Performance Python
ScaleOps is a repository dedicated to collecting and sharing findings from exploring and optimizing the scalability and performance of AI workloads
This is an open source project to create new Database. The name of the database is DataCore. The database would be faster than any existing database. The database would be using GPU for execution.
Our presentation on 'real-time' genomics for ESR Data Science Week 2020.
Support x16r/x16s/xevan/x17/phi/tribus/aergo/polytimos/geek/skunk algos. It contains 1% dev fee.