Advances in Computers

Table of contents

1. Cover image
2. Title page
3. Table of Contents
4. Copyright
5. Contributors
6. Preface
7. Chapter One: VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips
   1. Abstract
   2. 1: Introduction
   3. 2: From algorithms to implementations
   4. 3: Teaching experiences
   5. 4: Creativity in computing
   6. 5: The ultimate DataFlow
   7. 6: Conclusion
   8. Acknowledgment
   9. References
8. Chapter Two: Embracing the laws of physics: Three reversible models of computation
   1. Abstract
   2. 1: Reversibility, the missing principle
   3. 2: Data I: Finite sets
   4. 3: Data II: Structured finite types
   5. 4: Data III: Reversible programs between reversible programs
   6. 5: Further thoughts and conclusions
   7. References
9. Chapter Three: WSNs in environmental monitoring: Data acquisition and dissemination aspects
   1. Abstract
   2. 1: Introduction
   3. 2: WSNs and their position in environmental monitoring
   4. 3: WSN-based WQM systems
   5. 4: WSN-based AQM systems
   6. 5: Discussion: Observations, challenges and future improvements
   7. References
10. Chapter Four: Energy efficient implementation of tensor operations using dataflow paradigm for machine learning
    1. Abstract
    2. 1: Introduction
    3. 2: Compute-intensive machine learning algorithms
    4. 3: Basic tensor operations for machine learning
    5. 4: Dataflow paradigm
    6. 5: Energy efficient implementations of tensor operations
    7. 6: Performance evaluation
    8. 7: Conclusion
    9. References
11. Chapter Five: A runtime job scheduling algorithm for cluster architectures with dataflow accelerators
    1. Abstract
    2. 1: Introduction
    3. 2: Problem statement: Scheduling jobs on clusters with DataFlow hardware
    4. 3: Essence of the proposed solution and its potentials
    5. 4: Experimental analysis of the proposed solution
    6. 5: Conclusions
    7. Acknowledgments
    8. Appendix
    9. References