Benjamin C. Lee is the Nortel Networks Associate Professor of Electrical Engineering and Computer Science at Duke University. His research focuses on power-efficient architectures and emerging technologies for high-performance computer systems. He is also interested in the economics and public policy of computation. At Berkeley, he developed auto-tuning frameworks for sparse linear algebra. At Harvard, he introduced statistical machine learning for processor design. At Duke, Dr. Lee leads the System Integration Architecture Laboratory, which studies datacenter design and management with economic mechanisms and game theory. Dr. Lee received his B.S. in Electrical Engineering and Computer Science from the University of California at Berkeley, his Ph.D. in Computer Science at Harvard University, and his post-doctorate in Electrical Engineering at Stanford University. He has held visiting positions at Microsoft Research, Intel Labs, and Lawrence Livermore National Lab. Dr. Lee has receivedthe NSF CAREER Award and the NSF Computing Innovation Fellowship. His research has been honored twice as Top Picks by IEEE Micro Magazine and twice as Research Highlights by the Communications of the ACM.

• Table of Contents: Preface / Acknowledgments / Introduction / Applications and Benchmarks / Design / Management / Hardware Simulation / System Simulation / Conclusions / Bibliography / Author's Biography

Benjamin C. Lee is the Nortel Networks Associate Professor of Electrical Engineering and Computer Science at Duke University. His research focuses on power-efficient architectures and emerging technologies for high-performance computer systems. He is also interested in the economics and public policy of computation. At Berkeley, he developed auto-tuning frameworks for sparse linear algebra. At Harvard, he introduced statistical machine learning for processor design. At Duke, Dr. Lee leads the System Integration Architecture Laboratory, which studies datacenter design and management with economic mechanisms and game theory. Dr. Lee received his B.S. in Electrical Engineering and Computer Science from the University of California at Berkeley, his Ph.D. in Computer Science at Harvard University, and his post-doctorate in Electrical Engineering at Stanford University. He has held visiting positions at Microsoft Research, Intel Labs, and Lawrence Livermore National Lab. Dr. Lee has receivedthe NSF CAREER Award and the NSF Computing Innovation Fellowship. His research has been honored twice as Top Picks by IEEE Micro Magazine and twice as Research Highlights by the Communications of the ACM.

• Table of Contents: Preface / Acknowledgments / Introduction / Applications and Benchmarks / Design / Management / Hardware Simulation / System Simulation / Conclusions / Bibliography / Author's Biography

Benjamin C. Lee is the Nortel Networks Associate Professor of Electrical Engineering and Computer Science at Duke University. His research focuses on power-efficient architectures and emerging technologies for high-performance computer systems. He is also interested in the economics and public policy of computation. At Berkeley, he developed auto-tuning frameworks for sparse linear algebra. At Harvard, he introduced statistical machine learning for processor design. At Duke, Dr. Lee leads the System Integration Architecture Laboratory, which studies datacenter design and management with economic mechanisms and game theory. Dr. Lee received his B.S. in Electrical Engineering and Computer Science from the University of California at Berkeley, his Ph.D. in Computer Science at Harvard University, and his post-doctorate in Electrical Engineering at Stanford University. He has held visiting positions at Microsoft Research, Intel Labs, and Lawrence Livermore National Lab. Dr. Lee has receivedthe NSF CAREER Award and the NSF Computing Innovation Fellowship. His research has been honored twice as Top Picks by IEEE Micro Magazine and twice as Research Highlights by the Communications of the ACM.

• Table of Contents: Preface / Acknowledgments / Introduction / Applications and Benchmarks / Design / Management / Hardware Simulation / System Simulation / Conclusions / Bibliography / Author's Biography