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Some thing interesting about multi-gpu
Some thing interesting about multi-gpu
multi-gpu,Distributed training with Multi-worker & Parameter Server in TensorFlow 2
User: 18520339
Home Page: https://youtu.be/OOPVA-eqBTY
multi-gpu,image retrieval with cosine metric learning
User: ace19-dev
multi-gpu,:dart: Accumulated Gradients for TensorFlow 2
User: andreped
Home Page: https://gradientaccumulator.readthedocs.io/
multi-gpu,Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe
User: bharatsingh430
multi-gpu,High-level C++ for Accelerator Clusters
Organization: celerity
Home Page: https://celerity.github.io
multi-gpu,The Forge Cross-Platform Rendering Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2
Organization: confettifx
multi-gpu,MelGAN Multi GPU Implementation.
User: diver-j
multi-gpu,Deep Learning Toolbox for Torch
User: dmarnerides
multi-gpu,Measure bandwidth of multiple simultaneously started cudaMemcpyAsync
User: enfiskutensykkel
multi-gpu,Graphic Techniques Implemented on The Forge API, a cross-platform rendering framework on top of Vulkan, DirectX, Metal
User: erfan-ahmadi
multi-gpu,Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid
Organization: eth-cscs
multi-gpu,A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.
User: farkhor
multi-gpu,Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
Organization: fzj-jsc
multi-gpu,multi-gpu pre-training in one machine for BERT from scratch without horovod (Data Parallelism)
User: guotong1988
multi-gpu,Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
Organization: helmholtz-analytics
Home Page: https://heat.readthedocs.io/
multi-gpu,Neutron: A pytorch based implementation of Transformer and its variants.
User: hfxunlp
Home Page: https://github.com/hfxunlp/transformer
multi-gpu,Test code for running PyTorch deep learning models using multiple GPUs.
User: jiahongchen
multi-gpu,NVIDIA GPU compute task scheduling utility
User: jigangkim
multi-gpu,This project aims to help people implement tensorflow model pipelines quickly for different nlp tasks.
User: jimth001
multi-gpu,testing multi gpu for pytorch
User: kentaroy47
Home Page: https://qiita.com/arutema47/items/2b92f94c734b0a11609d
multi-gpu,Multi-GPU training for Keras
User: kuixu
multi-gpu,Multi-GPU version of BERT, implemented with Tensorflow 1.9
User: lionelmessi6410
multi-gpu,Co-attending Regions and Detections for VQA.
User: lupantech
multi-gpu,GPU Framework for Radio Astronomical Image Synthesis
User: miguelcarcamov
Home Page: https://doi.org/10.1016/j.ascom.2017.11.003
multi-gpu,GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
User: nicklucche
multi-gpu,Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Organization: nvidia
Home Page: https://nvidia.github.io/OpenSeq2Seq
multi-gpu,Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
User: omlins
multi-gpu,Chains stable-diffusion-webui instances together to facilitate faster image generation.
User: papuspartan
multi-gpu,Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch.
Organization: parcorelab
Home Page: https://dl.acm.org/doi/10.1145/3577193.3593713
multi-gpu,POT3D: High Performance Potential Field Solver
Organization: predsci
multi-gpu,Damavand is a quantum circuit simulator. It can run on laptops or High Performance Computing architectures, such CPU distributed architectures or multi GPU distributed architectures.
Organization: previsionio
multi-gpu,Utilities for making TensorFlow easier
Organization: project-manas
multi-gpu,A dual-GPU DEM solver with complex grain geometry support
Organization: projectchrono
multi-gpu,Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
User: rbbrdckybk
multi-gpu,<μΌλΌμ€ μ°½μμμκ² λ°°μ°λ λ₯λ¬λ 2ν> λμμ μ½λ μ μ₯μ
User: rickiepark
Home Page: https://bit.ly/kerasdl2
multi-gpu,Face recognition system for ID photos
User: seasonsh
multi-gpu,Code repository for training a brain tumour U-Net 3D image segmentation model using the 'Task1 Brain Tumour' medical segmentation decathlon challenge dataset.
User: tamerthamoqa
multi-gpu,A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
User: tamerthamoqa
multi-gpu,Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Organization: tensordiffeq
Home Page: http://docs.tensordiffeq.io
multi-gpu,Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).
User: tugrul512bit
multi-gpu,Multi-GPU & CPU OpenCL kernel executor with load-balancing as if there is one big GPU.
User: tugrul512bit
multi-gpu,Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
User: v-iashin
Home Page: https://v-iashin.github.io/video_features
multi-gpu,Experimental utility to build stateful RNN models for multi GPU training.
User: visionscaper
multi-gpu,Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
User: yukewang96
multi-gpu,running multiple darknet models in parallel in multi-gpu setup
User: zabir-nabil
multi-gpu,Deep Neural Network Compression based on Student-Teacher Network
User: zhengyu-li
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