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Lebeck's research interests span atoms to applications and his contributions include architectures for emerging nanotechnologies, high performance microarchitectures, hardware and software techniques for improved memory hierarchy performance, multiprocessor systems, and energy efficient computing. His work 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. He is currently exploring techniques to accelerate probabilistic algorithms and the design of systems at the confluence of datacenters and high-performance computing. In the area of memory systems, Lebeck led efforts in improving cache hierarchy performance, new cache coherence protocols, and tolerating memory latency. He also 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.
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IEEE Microno. 1 (2023): 76-82
Xinhao Kong,Jingrong Chen,Wei Bai, Yechen Xu, Mahmoud Elhaddad,Shachar Raindel,Jitendra Padhye,Alvin R. Lebeck,Danyang Zhuo
NSDIpp.31-48, (2023)
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semanticscholar(2021)
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