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Bio
My interests span atoms to applications, with a foundation centered in computer architecture and systems. I enjoy a combination of interdisciplinary and conventional research.
Alvin R. Lebeck is a Professor of Computer Science and of Electrical and Computer Engineering at Duke University. He co-founded Phitonex in 2017 serving as Chairman until the end of 2020 when it was acquired by Thermo Fisher Scientific. Lebeck's research interests span atoms to applications, with a foundation centered in computer architecture and systems. His recent work explores hardware acceleration of probabilistic algorithms and the design of systems at the confluence of datacenters and high-performance computing. His prior work exploring the architectural implications of DNA self-assembly as a fabrication method for future systems provided the foundation for the formation of Phitonex to develop and commercialize novel fluorescent labels for biomarker detection. In the area of memory systems, Lebeck led efforts in improving cache hierarchy performance, new cache coherence and consistency protocols, and tolerating memory latency. He co-led the effort to develop the first technique for an operating system to manage energy/power as a first-class resource and to develop main memory power management techniques.
Alvin R. Lebeck is a Professor of Computer Science and of Electrical and Computer Engineering at Duke University. He co-founded Phitonex in 2017 serving as Chairman until the end of 2020 when it was acquired by Thermo Fisher Scientific. Lebeck's research interests span atoms to applications, with a foundation centered in computer architecture and systems. His recent work explores hardware acceleration of probabilistic algorithms and the design of systems at the confluence of datacenters and high-performance computing. His prior work exploring the architectural implications of DNA self-assembly as a fabrication method for future systems provided the foundation for the formation of Phitonex to develop and commercialize novel fluorescent labels for biomarker detection. In the area of memory systems, Lebeck led efforts in improving cache hierarchy performance, new cache coherence and consistency protocols, and tolerating memory latency. He co-led the effort to develop the first technique for an operating system to manage energy/power as a first-class resource and to develop main memory power management techniques.
Research Interests
Papers共 156 篇Author StatisticsCo-AuthorSimilar Experts
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Jianxing Qin, Jingrong Chen, Xinhao Kong,Yongji Wu,Liang Luo, Zhaodong Wang, Ying Zhang, Tingjun Chen,Alvin R. Lebeck,Danyang Zhuo
arxiv(2025)
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ACM Trans Graphno. 6 (2024): 210:1-210:20
PROCEEDINGS OF THE 20TH USENIX SYMPOSIUM ON NETWORKED SYSTEMS DESIGN AND IMPLEMENTATION, NSDI 2023pp.31-48, (2023)
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IEEE Microno. 1 (2022): 76-82
2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022)pp.1007-1017, (2022)
semanticscholar(2021)
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semanticscholar(2020)
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Author Statistics
#Papers: 156
#Citation: 7191
H-Index: 37
G-Index: 81
Sociability: 5
Diversity: 2
Activity: 4
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