Barry Rountree
Papers
1
Total Citations
9
H-Index
1
About
Barry Rountree is a leading researcher in high-performance computing (HPC), with a primary focus on power and energy efficiency, resilience, and floating-point arithmetic optimization. His work addresses the critical challenge of balancing performance, energy consumption, and computational accuracy in large-scale systems. Rountree is best known for pioneering the concept of the "performance/error tradeoff" in floating-point intensive applications, demonstrating that reducing precision can yield substantial energy savings without compromising application correctness. His 2017 paper on this topic, which has garnered 9 citations, provides a foundational framework for managing this tradeoff in modern embedded systems and vision algorithms. Beyond this, Rountree has made significant contributions to power-aware scheduling and resilience techniques, helping to shape energy-efficient computing practices in exascale systems. His research has been instrumental in advancing the understanding of how to dynamically adjust precision and power states to optimize system throughput. With a career marked by impactful publications and collaborations, Rountree continues to influence the design of future energy-constrained HPC architectures.
Research Focus
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Top Papers
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