Creativity in Computing and DataFlow Supercomputing, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore topics in greater depth and breadth than journal articles typically allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Preface - p. iv 6. Chapter One: A Systematic Approach to Generation of New Ideas for PhD Research in Computing - p. viii 7. Chapter Two: Exploring Future Many-Core Architectures: The TERAFLUX Evaluation Framework - p. 31 8. Chapter Three: Dataflow-Based Parallelization of Control-Flow Algorithms - p. 72 9. Chapter Four: Data Flow Computing in Geoscience Applications - p. 124 10. Chapter Five: A Streaming Dataflow Implementation of Parallel Cocke–Younger–Kasami Parser - p. 158 11. Author Index - p. 201 12. Subject Index - p. 209 13. Contents of Volumes in this Series - p. 215
Creativity in Computing and DataFlow Supercomputing, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore topics in greater depth and breadth than journal articles typically allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Preface - p. iv 6. Chapter One: A Systematic Approach to Generation of New Ideas for PhD Research in Computing - p. viii 7. Chapter Two: Exploring Future Many-Core Architectures: The TERAFLUX Evaluation Framework - p. 31 8. Chapter Three: Dataflow-Based Parallelization of Control-Flow Algorithms - p. 72 9. Chapter Four: Data Flow Computing in Geoscience Applications - p. 124 10. Chapter Five: A Streaming Dataflow Implementation of Parallel Cocke–Younger–Kasami Parser - p. 158 11. Author Index - p. 201 12. Subject Index - p. 209 13. Contents of Volumes in this Series - p. 215
