Pengyu Wang

About Pengyu Wang

Pengyu Wang, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Parallel Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Graph sampling and random walk acceleration method and system on GPU

Fargraph+: Excavating the parallelism of graph processing workload on RDMA-based far memory system

High-Throughput GPU Random Walk with Fine-Tuned Concurrent Query Processing

Dragon: dynamic recurrent accelerator for graph online convolution

Adaptive unified memory management method and system for large-scale graphs

HyFarM: Task Orchestration on Hybrid Far Memory for High Performance Per Bit

Excavating the potential of graph workload on rdma-based far memory architecture

Oversubscribing gpu unified virtual memory: Implications and suggestions

Pengyu Wang Information

University

Position

___

Citations(all)

141

Citations(since 2020)

141

Cited By

30

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Pengyu Wang Skills & Research Interests

Parallel Computing

Top articles of Pengyu Wang

Graph sampling and random walk acceleration method and system on GPU

2024/1/16

Fargraph+: Excavating the parallelism of graph processing workload on RDMA-based far memory system

Journal of Parallel and Distributed Computing

2023/7/1

High-Throughput GPU Random Walk with Fine-Tuned Concurrent Query Processing

2023/2/25

Dragon: dynamic recurrent accelerator for graph online convolution

ACM Transactions on Design Automation of Electronic Systems

2023/1/20

Adaptive unified memory management method and system for large-scale graphs

2023/9/21

HyFarM: Task Orchestration on Hybrid Far Memory for High Performance Per Bit

2022/10/23

Excavating the potential of graph workload on rdma-based far memory architecture

2022/5/30

Oversubscribing gpu unified virtual memory: Implications and suggestions

2022/4/9

Tapping into nfv environment for opportunistic serverless edge function deployment

IEEE Transactions on Computers

2021/12/6

Skywalker: Efficient alias-method-based graph sampling and random walk on gpus

2021/9/26

ACE-GCN: A Fast data-driven FPGA accelerator for GCN embedding

ACM Transactions on Reconfigurable Technology and Systems (TRETS)

2021/9/14

Grus: Toward unified-memory-efficient high-performance graph processing on gpu

ACM Transactions on Architecture and Code Optimization (TACO)

2021/2/9

See List of Professors in Pengyu Wang University(Shanghai Jiao Tong University)

Co-Authors

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