#Parallelism
Showing 17 of 17 repositories tagged #parallelism, ranked by stars
Tools for concurrent programming in Rust
Image processing algorithms in pure Go
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
A Python stream processing engine modeled after Yahoo! Pipes
A GPipe implementation in PyTorch
Create new JS processes for CPU intensive work
A library adding some anti-Pythonic syntatic sugar to Python
[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
Benchmark of federated learning. Dedicated to the community. 🤗
PaSh: Light-touch Data-Parallel Shell Processing
A very simple thread pool for parallel task execution
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Async Techniques and Examples in Python Course
LvLLM is a special NUMA extension of vllm that makes full use of CPU and memory resources, reduces GPU memory requirements, and features an efficient GPU parallel and NUMA parallel architecture, supporting hybrid inference for MOE large models.
AI-powered mobile automation agent — describe what you want in plain English, AppClaw reads the screen, reasons, and acts. LLM-agnostic, open-source, zero telemetry.
extensible exploitation framework shipped on a modular multi-tasking architecture
Simplifies the parallelization of function calls.