Liang Geng

Liang Geng

Ph.D. Student

The Ohio State University

Biography

Hi, I’m Liang Geng, a second-year Ph.D. student in the Computer Science Department, OSU. I’m interested in computer systems, especially GPU and RDMA. My advisor is Prof. Xiaodong Zhang. Currently, I’m working with Dr. Hao Wang and Dr. Rubao Lee on RDMA and GPU-related projects to accelerate data processing. Before joining the OSU, I was a senior engineer at Alibaba DAMO Academy supervised by Dr. Wenyuan Yu, where I developed GPU support for libgrape-lite and was the initial contributor to GrapeScope and Vineyard. I was fortunately advised by Prof. Yanfeng Zhang while pursuing my Master’s Degree. He helped me to start my research journey.

Interests
  • GPU
  • RDMA
  • Distributed Systems
Education
  • M.Eng., Computer Science, 2016-2019

    Northeastern University, China

  • B.Eng., Software Engineering, 2012-2016

    Liaoning Technical University, China

Recent Publications

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(2022). Efficient Multi-GPU Graph Processing with Remote Work Stealing. ICDE'23.

(2022). Linking Entities across Relations and Graphs. ICDE'22.

(2022). An RDMA-enabled In-memory Computing Platform for R-tree on Clusters. TSAS'22.

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(2021). Automating Incremental Graph Processing with Flexible Memoization. VLDB'21.

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(2020). Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing. SIGMOD'20.

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(2019). Catfish: Adaptive RDMA-enabled R-Tree for Low Latency and High Throughput. ICDCS'19.

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(2019). HYPHA: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction. ICS'19.

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(2019). SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU. PPoPP'19.

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