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Chen Ding's research seeks to understand the composite and emergent behavior in computer systems especially its dynamic parallelism and active data usage and develop software techniques for automatic or suggestion-based locality optimization, memory management, and program parallelization and optimization. His work received young investigator awards from NSF and DOE. He co-founded the ACM SIGPLAN Workshop on Memory System Performance and Correctness (MSPC) and was a visiting researcher at Microsoft Research and a visiting professor at MIT. He is also an IBM Center for Advanced Studies Faculty Fellow. He teaches compilation, programming languages, software and system design.
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论文共 186 篇作者统计合作学者相似作者
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Proceedings of the International Symposium on Memory Systems (2023)
CoRR (2023)
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ACM Transactions on Architecture and Code Optimization (2023)
International Symposium on Memory Systemspp.10:1-10:5, (2023)
PROCEEDINGS OF THE 2023 ACM SIGPLAN INTERNATIONAL SYMPOSIUM ON MEMORY MANAGEMENT, ISMM 2023pp.124-136, (2023)
ACM Transactions on Architecture and Code Optimizationno. 3 (2023): 1-25
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Proceedings of the 36th ACM International Conference on Supercomputing (2022)
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