Author

Qinghua Zhou

Observed name: Q. Zhou

Institution: The Ohio State University

Observed institution: The Ohio State University

ORCID: 0009-0001-8490-7990

Observed ORCID: 0009-0001-8490-7990

OpenAlex ID: A5028296912

Designing High-Performance MPI Libraries with On-the-fly Compression for Modern GPU Clusters

2021 · Q. Zhou, C. Chu, et al. · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 38

Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters

2022 · Qinghua Zhou, Pouya Kousha, et al. · Lecture notes in computer science · 35

Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication

2023 · Qinghua Zhou, Quentin Anthony, et al. · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 19

MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators

2023 · Chen-Chun Chen, Kawthar Shafie Khorassani, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 13

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Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters

2020 · Ching-Hsiang Chu, Kawthar Shafie Khorassani, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 9

Accelerating Large Language Model Training with Hybrid GPU-based Compression

2024 · Lang Xu, Quentin Anthony, et al. · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · 8

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Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters

2024 · Qinghua Zhou, Bharath Ramesh, et al. · ISC High Performance (ISC) · 7

Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads

2022 · Qinghua Zhou, Quentin Anthony, et al. · IEEE International Conference on High Performance Computing, Data, and Analytics · 7

A Hierarchical and Load-Aware Design for Large Message Neighborhood Collectives

2020 · S. Mahdieh Ghazimirsaeed, Qinghua Zhou, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 7

Designing Efficient Pipelined Communication Schemes using Compression in MPI Libraries

2022 · Bharath Ramesh, Qinghua Zhou, et al. · IEEE International Conference on High Performance Computing, Data, and Analytics · 5

Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data

2024 · Pouya Kousha, Qinghua Zhou, et al. · Lecture notes in computer science · 1

Works count: 11

Citation count: 149

H-index: 7

I10-index: 4