Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand
Clusters: MPI or NCCL?

Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL?

28 July 2017

Ching-Hsiang Chu

Hari Subramoni

Papers citing "Optimized Broadcast for Deep Learning Workloads on Dense-GPU InfiniBand Clusters: MPI or NCCL?"

11 / 11 papers shown

Title
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models Gunho Park Baeseong Park Minsub Kim Sungjae Lee Jeonghoon Kim Beomseok Kwon S. Kwon Byeongwook Kim Youngjoo Lee Dongsoo Lee MQ 13 73 0 20 Jun 2022
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 44 243 0 29 Apr 2021
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging Shigang Li Tal Ben-Nun Giorgi Nadiradze Salvatore Di Girolamo Nikoli Dryden Dan Alistarh Torsten Hoefler 13 14 0 30 Apr 2020
Communication optimization strategies for distributed deep neural network training: A survey Shuo Ouyang Dezun Dong Yemao Xu Liquan Xiao 17 12 0 06 Mar 2020
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 17 316 0 31 May 2019
Priority-based Parameter Propagation for Distributed DNN Training Anand Jayarajan Jinliang Wei Garth A. Gibson Alexandra Fedorova Gennady Pekhimenko AI4CE 11 178 0 10 May 2019
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect Ang Li S. Song Jieyang Chen Jiajia Li Xu Liu Nathan R. Tallent Kevin J. Barker GNN 35 210 0 11 Mar 2019
Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement Jay H. Park Sunghwan Kim Jinwon Lee Myeongjae Jeon S. Noh 17 11 0 17 Jan 2019
An Empirical Evaluation of Allgatherv on Multi-GPU Systems Thomas B. Rolinger T. Simon Christopher D. Krieger 17 2 0 14 Dec 2018
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning S. Shi Qiang-qiang Wang Xiaowen Chu Bo-wen Li FedML GNN 9 23 0 10 May 2018
Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs S. Shi Qiang-qiang Wang Xiaowen Chu 27 110 0 16 Nov 2017