Introduction to Reversible Computing - Perumalla, Kalyan S
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Collecting scattered knowledge into one coherent account, this book provides a compendium of both classical and recently developed results on reversible computing. It offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated software approach. It explores up-and-coming theories, techniques, and tools for the application of reversible computing. The topics covered span several areas of computer science, including high-performance computing, parallel/distributed systems, computational theory, compilers, power-aware computing, and supercomputing.…mehr

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Produktbeschreibung
Collecting scattered knowledge into one coherent account, this book provides a compendium of both classical and recently developed results on reversible computing. It offers an expanded view of the field that includes the traditional energy-motivated hardware viewpoint as well as the emerging application-motivated software approach. It explores up-and-coming theories, techniques, and tools for the application of reversible computing. The topics covered span several areas of computer science, including high-performance computing, parallel/distributed systems, computational theory, compilers, power-aware computing, and supercomputing.
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Autorenporträt
Kalyan Perumalla, PhD, is a senior R&D staff member and manager at Oak Ridge National Laboratory and an adjunct professor at the Georgia Institute of Technology. Dr. Perumalla is a winner of the prestigious U.S. Department of Energy Career Award in Advanced Scientific Computing Research (2010-2015). He has published over 100 articles in computing and serves on the editorial boards and program committees of leading journals and conferences in computing. He earned a PhD in computer science from the Georgia Institute of Technology. His areas of interest include reversible computing, high-performance computing, parallel discrete event simulation, and parallel combinatorial optimization.