https://orcid.org/0000-0003-1893-5464
Overview
Alvin R. Lebeck is Professor Emeritus of Computer Science at Duke University. His work included research in computer systems and architecture, interdisciplinary collaboration including nanotechnology, teaching and mentoring students, and entrepreneurial activity. He retired from Duke in Fall 2024 and is no longer advising students. For a personal overview, visit www.cs.duke.edu/~alvy and senanis.com.
Current Appointments & Affiliations
Professor Emeritus of Computer Science
·
2024 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Publications
BigLittleMCA: A Spatially-Optimal Tiled Hardware Accelerator for MCMC Image Processing
Journal Article ACM Transactions on Architecture and Code Optimization · September 17, 2025 Markov-Chain Monte-Carlo (MCMC) algorithms offer a general framework for performing interpretable inference but have high overheads due to the computational complexity of the sampling process and the large number of samples required to produce an accurate ... Full text CiteBeethoven: A Heterogeneous Multi-Core Accelerator System Composer
Conference IEEE International Symposium on Performance Analysis of Systems and Software Ispass · January 1, 2025 Hardware Development is challenging in large part due to the complexity of incorporating realistic designs onto hardware devices (e.g., FPGAs, CGRAs, ASICs). This work proposes a multi-core, hardware-software accelerator design framework called Beethoven. ... Full text CiteDense Server Design for Immersion Cooling
Journal Article ACM Transactions on Graphics · December 19, 2024 The growing demands for computational power in cloud computing have led to a significant increase in the deployment of high-performance servers. The growing power consumption of servers and the heat they produce is on track to outpace the capacity of conve ... Full text CiteRecent Grants
CSR: Small: Improving Cloud Services by Exploiting Synchronized Clocks and Software Defined Flash
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2016 - 2021Accelerating Markov Chain Monte Carlo Inference
ResearchPrincipal Investigator · Awarded by Intel Corporation · 2018 - 2021XPS: CLCCA: Collaborative Research: Harnessing Highly Threaded Hardware for Server Workloads
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2013 - 2019View All Grants
Education
University of Wisconsin, Madison ·
1995
Ph.D.
University of Wisconsin, Madison ·
1991
M.S.
University of Wisconsin, Madison ·
1989
B.S.