#python #data_parallelism #deep_learning #distributed_training #hpc #large_scale #model_parallelism #pipeline_parallelism

https://github.com/hpcaitech/ColossalAI

#go #batch_systems #bigdata #gene #golang #hpc #kubernetes #machine_learning

Volcano is a powerful batch system built on Kubernetes, designed to manage complex workloads like machine learning, bioinformatics, and big data applications. It integrates with popular frameworks such as TensorFlow, Spark, and PyTorch. Volcano benefits users by providing efficient scheduling and management of high-performance workloads, leveraging over 15 years of experience and best practices from the open source community. It is widely used in various industries and has a strong community support with hundreds of contributors. Installing Volcano is straightforward, either through YAML files or Helm charts, making it easy to get started and manage your batch workloads effectively.

https://github.com/volcano-sh/volcano

#python #build_tools #hpc #hpsf #linux #macos #package_manager #python #radiuss #scientific_computing #spack

Spack is a tool that helps you install and manage different versions of software on your computer. It works on many operating systems like Linux, macOS, and Windows, and even on supercomputers. The best part is that it doesn't break existing installations, so you can have multiple versions of the same software running at the same time. Spack uses a simple syntax to specify what you want to install, and it's easy to contribute to the project if you want to add new features or packages. This makes it very flexible and useful for managing complex software setups.

https://github.com/spack/spack

#python #ai #big_model #data_parallelism #deep_learning #distributed_computing #foundation_models #heterogeneous_training #hpc #inference #large_scale #model_parallelism #pipeline_parallelism

Colossal-AI is a powerful tool that helps make large AI models faster, cheaper, and easier to use. It uses special techniques like parallelism to speed up training on big models without needing expensive hardware. This means users can train complex AI models even on regular computers or laptops, saving time and money. Colossal-AI also supports various applications across industries like medicine, video generation, and chatbots, making it very versatile for developers.

https://github.com/hpcaitech/ColossalAI

#cplusplus #assembly #assembly_language #avx512 #benchmark #coroutines #cpp #cpp_programming #cpp17 #cpp20 #cuda #gcc #google_benchmark #hpc #io_uring #linux_kernel #llvm #ptx #ranges #tutorial #tutorials

This repository helps developers improve their coding skills by showing how to write faster and more efficient code. It includes examples for C++, CUDA, and Assembly, focusing on performance optimization techniques. By using this resource, developers can learn how to avoid common pitfalls like performance bottlenecks and improve their coding habits. It also provides benchmarks to compare different coding methods, helping users choose the best approach for their projects. This can lead to significant speed improvements and better use of computer resources.

https://github.com/ashvardanian/less_slow.cpp