Stars
Is Parallel Programming Hard, And If So, What Can You Do About It?
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Rolling Release Stable Kernel for Windows Subsystem for Linux2 (WSL2)
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous progra…
Define your dev environment as code. For microservice apps on Kubernetes.
Modin: Scale your Pandas workflows by changing a single line of code
A low-level execution library for analytic data processing.
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
Low-overhead tracing of all Linux kernel-user transitions, for serious performance analysis. Includes kernel patches, loadable module, and post-processing software. Output is HTML/SVG per-CPU-core …
Cluster Toolkit is an open-source software offered by Google Cloud which makes it easy for customers to deploy AI/ML and HPC environments on Google Cloud.
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
A Python package for easy multiprocessing, but faster than multiprocessing
A tool to build, deploy, and release any application on any platform.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Run GitHub Actions on self-hosted runner using Docker.
Python 3.8+ toolbox for submitting jobs to Slurm
Reference implementations of MLPerf® training benchmarks
A Kubernetes node connectivity monitoring tool
Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler