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In this project, we tackle TSP using Reinforcement Learning (RL), specifically leveraging a Deep Q-Network (DQN) to learn an optimal path between cities. The Q-network helps the agent (salesman) le…
All pdfs of Victor Eijkhout's Art of HPC books and courses
Empowering everyone to build reliable and efficient software.
NVIDIA Linux open GPU kernel module source
A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology
This is a plugin which lets EC2 developers use libfabric as network provider while running NCCL applications.
Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)
The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)
This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the basis of use-cases providing canonical PyTorch Lightning pip…
Portals is a low-level network API for high-performance networking on high-performance computing systems developed by Sandia National Laboratories, Intel Corporation, and the University of New Mexi…
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Reference implementations of MLPerf™ training benchmarks
Models and examples built with TensorFlow
Optimized primitives for collective multi-GPU communication
TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.
An Open Source Machine Learning Framework for Everyone
Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
