[Seminar] Specializing the Computing System for Graph Algorithms
Tuesday, December 6, 2022
11:00 am - 12:00 pm
Xuhao Chen, Ph.D.
Massachusetts Institute of Technology
Numerous applications in social networks, e-commerce, biomedicine and security, are driven by graph algorithms. The graph data is massive and sparse, which poses great challenges in computing system design. In thistalk, I will describe experiences creating abstractions, system design principles, optimization techniques and automation methodologies for graph computing, across different layers of the system stack, including both software and hardware. As I will demonstrate, despite the complex computational and data access behaviors in graph algorithms, cross-layer system specialization can effectively unlock the potential of graph computing.
About the Speaker
Dr. Xuhao Chen is a Research Scientist in the Computer Science & Artificial Intelligence Lab at Massachusetts Institute of Technology (MIT CSAIL), working with Prof. Arvind Mithal. Dr. Chen is broadly interested in parallel systems and architectures, with a focus on AI and big-data applications. His recent work aims to democratize Graph AI by designing efficient algorithms, software systems and hardware accelerators. His work has been published in OSDI, ISCA, MICRO, VLDB, ICS, etc. Prior to MIT he was a research fellow working with Prof. Keshav at The University of Texas at Austin. Dr. Chen received his B.S. and Ph.D. in Computer Science from National University of Defense Technology (NUDT) in China.