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Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
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.
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.
INTRODUCTION: Scope. Application Areas. The Reversible Computing Spectrum. THEORY: Systems and Principles. Reversibility-Related Paradoxes. Theoretical Computing Models. Relaxing Forward-Only Execution into Reversible Execution. SOFTWARE: Reversible Programming Languages. Adding Reversibility to Irreversible Programs. Reverse C Compiler. Reversal of Linear Codes. Reversible Random Number Generation. Reversible Memory Allocation and Deallocation. Reversible Numerical Computation. Reversing a Sorting Procedure. Implementing Undo-Redo-Do. HARDWARE: Reversible Logic Gates. Reversible Instruction Set Architectures. SUMMARY: Future Directions. REFERENCES: Bibliography. Index.
