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.

Short course: High Performance Python

GPU graph mining

Batched Graph Clustering using Louvain Method on multiple GPUs.

Using Openshift to train and serve AI/ML models

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.

A Portable headers-only library for Graph Analytics tasks on Heterogeneous GPUs

UNItig construction in PARallel with CPUs and GPUs

Parallel programming framework for accelerating Java programs on GPUs and multi-core CPUs.

Functional Graph Database on GraphBLAS

Julia implementation of TRON solver on GPUs

Prometheus GPU Metrics Exporter

A bundle of bash scripts to make headless crypto mining on linux a simple reality. Unfortunately only NVIDIA support for now.

Trust: Triangle Counting Reloaded on GPUs

Code Examples explained in QCon-London 2020 about TornadoVM

A part of code for "Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation"

SIPEC: the deep-learning Swiss knife for behavioral data analysis

A queue service for quickly developing scripts that use all your GPUs efficiently