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Graph Accelerators—A Case for Sparse Data Processing

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Correspondence to Wen-Guang Chen  (陈文光).

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For Cover Article: Liao XF, Zhao WJ, Jin H et al. Towards high-performance graph processing: From a hardware/software codesignper-spective. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 39(2): 245–266 Mar. 2024. DOI: https://doi.org/10.1007/s11390-024-4150-0

Wen-Guang Chen is a professor in the Department of Computer Science and Technology, Tsinghua University, Beijing, where he has been teaching since 2003. He received his B.S. and Ph.D. degrees both in computer science from Tsinghua University, Beijing, in 1995 and 2000, respectively. His research interest is in parallel and distributed computing. He is a CCF fellow and a CCF distinguished speaker, and an ACM member and the member at charge of ACM China Council. He has served in program committees of a variety of major conferences in the parallel and distributed computing area, including PLDI, PPoPP, OSDI, SC, EuroSys, CGO, IPDPS, APSys, and ICPP.

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Chen, WG. Graph Accelerators—A Case for Sparse Data Processing. J. Comput. Sci. Technol. 39, 243–244 (2024). https://doi.org/10.1007/s11390-024-0003-0

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  • DOI: https://doi.org/10.1007/s11390-024-0003-0