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

performance test of MNIST hand writings usign MXNet + TF

Benchmarks for Multi-GPU Communication with MVAPICH2

Experimental Keras libraries and examples.

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

Train an object classifier using multiple gpus in Torch7

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

Masked Language Modeling with BERT in Multi-GPU Settings

Multi-GPU calculations using CUDA technology on the example of a planar problem of linear elasticity theory

Gpu accelerated neural network trainer that supports multiple GPUs with OpenCL.

Glint is a Rust framework designed for creating stateful, graph-based AI systems, enabling efficient multi-step workflows. With features like LLM integration and a graph-based architecture, Glint helps developers build powerful AI solutions with ease. 🐙✨

Simple load-balancing library for balancing GPGPU workloads between a GPU and a CPU or any number of devices in a computer or multiple computers.

Testing speed of two GPU's vs. one GPU

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

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

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