A fork of Kubernetes with support of schedulable resource of NVIDIA GPU memory

Experimental prototype for using multi-gpu in real-time rendering in particular for rendering cascading shadow maps

Basic Tutorial for Training with Multiple GPU in Tensorflow

Testing speed of two GPU's vs. one GPU

performance test of MNIST hand writings usign MXNet + TF

Benchmarks for Multi-GPU Communication with MVAPICH2

This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.

word2vec implementation using PyTroch

Neural Network C is an advanced neural network implementation in pure C, optimized for high performance on CPUs and NVIDIA GPUs.

GPU-accelerated linear solvers based on the conjugate gradient (CG) method, supporting NVIDIA and AMD GPUs with GPU-aware MPI, NCCL, RCCL or NVSHMEM

Sabanci University CS406 Group Project Parallel Computing Cycle Count of length k in Sparse Matrix

Experimental Keras libraries and examples.

Kubernetes GPU scheduler with multi-GPU support, SLOs, and observability.

Hands-on workshop CUDA-Q NVIDIA in RWTH Aachen University & Technische Universität Berlin, June 2024.

Robust distributed checkpointing and job management system for multi-GPU SLURM workloads

Repository for ICS'25: MG-𝛼GCD: Accelerating Graph Community Detection on Multi-GPU Platforms

Train an object classifier using multiple gpus in Torch7

Frustum PointNets for 3D Object Detection from RGB-D Data

TransCorpus is a scalable toolkit for large-scale, parallel translation and preprocessing of text corpora, built for language model pretraining and research.

# Unified LQG-QFT Framework Supporting LQG FTL Metric Engineering