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Lin Zhang's Projects

acpsgd icon acpsgd

[ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning

adaptdl icon adaptdl

Resource-adaptive cluster scheduler for deep learning training.

alpa icon alpa

Auto parallelization for large-scale neural networks

byteps icon byteps

A high performance and generic framework for distributed DNN training

dear_pytorch icon dear_pytorch

[ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dnntrainer icon dnntrainer

a lightweight library for distributed DNN training

eva icon eva

[ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation

horovod icon horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

kfac_pytorch icon kfac_pytorch

[TCC 2022] Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning

lzhangbv.github.io icon lzhangbv.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

megatron-deepspeed icon megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

mg-wfbp icon mg-wfbp

MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning

mingpt3d icon mingpt3d

A minimal PyTorch re-implementation of the GPT-3D (3D Parallelism) Training

optimus-cc icon optimus-cc

Integrate Power-SGD into 3D Parallelism for LLM Training

pagraph icon pagraph

SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.

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