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My main research interest is in the interaction between algorithms and languages, mostly in the context of parallel computing, and has consisted of both theoretical and experimental work. As programming languages become higher level, implementations become more complex, and parallelism becomes pervasive, users are naturally becoming more removed from the hardware and its costs. Rather than trying to bring programmers down to the level of the machine to understand and get good performance, however, I believe that we should be trying to bring languages and cost models up to the level of the programmer. My research therefore centers around questions of how to model costs (e.g. time and space) for very-high level programming constructs (e.g. dynamic parallelism, futures, garbage collection), of how to design systems so these costs have meaning, and of how to make use of these features in effective algorithms design.
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论文共 256 篇作者统计合作学者相似作者
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ACM SIGPLAN Symposium on Principles & Practice of Parallel Programmingpp.200-214, (2024)
Magdalen Dobson Manohar,Zheqi Shen,Guy E. Blelloch,Laxman Dhulipala,Yan Gu,Harsha Vardhan Simhadri,Yihan Sun
ACM SIGPLAN Symposium on Principles & Practice of Parallel Programmingpp.270-285, (2024)
PROCEEDINGS OF THE 35TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES, SPAA 2023pp.1-14, (2023)
arXiv (Cornell University) (2023)
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ACM Trans. Parallel Comput.no. 4 (2023): 18:1-18:28
SPAA '23: Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architecturespp.63-63, (2023)
Proceedings of the VLDB Endowmentno. 4 (2022): 946-958
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