Advances in Computers, Volume 126 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on VLSI for Super-Computing: Creativity in R+D from Applications and Algorithms to Masks and Chips, Bulk Bitwise Execution Model in Memory: Mechanisms, Implementation, and Evaluation, Embracing the Laws of Physics: Three Reversible Models of Computation, WSNs in Environmental Monitoring: Data Acquisition and Dissemination Aspects, Energy efficient implementation of tensor operations using dataflow paradigm for machine learning, and A Run-Time Job Scheduling Algorithm for Cluster Architectures with DataFlow Accelerators.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iii 6. Preface - p. ix 7. Chapter One: VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips - p. 1 8. Chapter Two: Embracing the laws of physics: Three reversible models of computation - p. 15 9. Chapter Three: WSNs in environmental monitoring: Data acquisition and dissemination aspects - p. 93 10. Chapter Four: Energy efficient implementation of tensor operations using dataflow paradigm for machine learning - p. 151 11. Chapter Five: A runtime job scheduling algorithm for cluster architectures with dataflow accelerators - p. 201
Advances in Computers, Volume 126 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on VLSI for Super-Computing: Creativity in R+D from Applications and Algorithms to Masks and Chips, Bulk Bitwise Execution Model in Memory: Mechanisms, Implementation, and Evaluation, Embracing the Laws of Physics: Three Reversible Models of Computation, WSNs in Environmental Monitoring: Data Acquisition and Dissemination Aspects, Energy efficient implementation of tensor operations using dataflow paradigm for machine learning, and A Run-Time Job Scheduling Algorithm for Cluster Architectures with DataFlow Accelerators.
1. Cover image - p. i 2. Title page - p. ii 3. Table of Contents - p. iii 4. Copyright - p. iii 5. Contributors - p. iii 6. Preface - p. ix 7. Chapter One: VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips - p. 1 8. Chapter Two: Embracing the laws of physics: Three reversible models of computation - p. 15 9. Chapter Three: WSNs in environmental monitoring: Data acquisition and dissemination aspects - p. 93 10. Chapter Four: Energy efficient implementation of tensor operations using dataflow paradigm for machine learning - p. 151 11. Chapter Five: A runtime job scheduling algorithm for cluster architectures with dataflow accelerators - p. 201
