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Chen Ding

Principal Investigator · Department of Computer Science

University of Rochester · United States
Locality theory and optimizationMemory managementParallel programmingHigh-performance computing

About

Chen Ding is the recipient of a DOE Early Career Principal Investigator award and an NSF CAREER award. He joined URCS in July, 2000, after receiving his PhD at Rice University. His research is in program analysis and optimization, including computational and mathematical models of locality and parallelism and automatic and suggestion-based techniques for locality optimization, memory management and program parallelization. He is widely known for his work on reuse distance to formally characterize locality and optimize data movement in the memory hierarchy of modern computer systems.

Data verified 9/6/2026Source

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