data-parallel

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VcDevel /Vc

SIMD Vector Classes for C++

c-plus-plus cpp portable neon cpp14 parallel parallel-computing avx sse cpp11 simd cpp17 avx2 simd-programming vectorization avx512 simd-instructions simd-vector data-parallel

UpdatedJun 6, 2024
C++

PaddlePaddle /PLSC

Star151

Paddle Large Scale Classification Tools，supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.

face-recognition resnet vit data-parallel large-scale paddle mae paddlepaddle distributed-training arcface cosface model-parallel deit swin-transformer cait hight-speed partial-fc facevit moco-v3 convmae

UpdatedJun 6, 2023
Python

920232796 /bert_seq2seq_DDP

Star51

bert_seq2seq的DDP版本，支持bert、roberta、nezha、t5、gpt2等模型，支持seq2seq、ner、关系抽取等任务，无需添加额外代码，轻松启动DDP多卡训练。

pytorch transformer ddp data-parallel bert roberta gpt2 t5 nezha

UpdatedAug 29, 2022
Python

DavidXu-JJ /PoissonRecon_GPU

Star36

A cuda implementation of GPU Poisson Reconstruction.(Data-Parallel Octrees based)

point-cloud data-parallel mesh-reconstruction

UpdatedAug 8, 2024
Cuda

PasaLab /DGST

Star12

DGST: Efficient and Scalable Generalized Suffix Tree Construction on Apache Spark

spark distributed-computing data-parallel suffix-tree generalized-suffix-tree

UpdatedMar 5, 2018
Scala

yoniLc /AdaCons

Star2

Sample Implementation of the paper "Adaptive Consensus Gradients Aggregation for Scaled Distributed Training".

deep-learning data-parallel optimization-algorithms distributed-training

UpdatedNov 17, 2024
Python

malt2 /malt2.torch

Star1

Torch rock for malt2.

machine-learning cuda torch distributed data-parallel

UpdatedAug 29, 2017
C++

RapidsAtHKUST /Efficient-DPP

Star1

Data-parallel primitives implementations in OpenCL their native code versions

opencl openmp cuda primitives data-parallel

UpdatedJun 21, 2020
Cuda

anas-farooq8 /Parallel-ImageProcessing-OpenCL

Star1

OpenCL Image Processing: Explore efficient image processing algorithms using OpenCL, a framework for parallel computing. Convert colored images to grayscale for tasks like skin cancer detection, leveraging the ISIC 2020 Challenge Dataset. Includes optimized parallelized algorithms and documentation for seamless implementation.

c cpu opencl image-processing gpu-computing data-parallel parallel-processing kernel-functions grayscale-images