 Advanced Topics in Dataflow Computing and Multithreading
ISBN: 978-0-8186-6542-4
Hardcover
464 pages
July 1995, Wiley-IEEE Computer Society Press
US $59.95
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Foreword.
Introduction.
SECTION 1. PROCESSOR DESIGN.
design Principle of Massively Parallel Distributed-Memory Multiprocessor Architecture (M. Amamiya and T. Kawano).
StarT the Next Generation: Integrating Global Caches and Dataflow Architecture (B.S. Ang, et al.).
Synchronization and Pipeline Design for a Multithreaded Massively Parallel Computer (S. Sakai).
Superpipelined Dynamic Data-Driven VLSI Processors (H. Terada, et al.).
SECTION 2. LANGUAGE AND PROGRAMMING ISSUES.
Stream Data Types for Signal Processing (J.B. Dennis).
Multilateral Diagrammatical Specification Environment Based on Data-Driven Paradigm (M. Iwata and H. Terada).
Coarse-Grain Dataflow Programming of Conventional Parallel Computers (R. Jogannathan).
Distributed Data Structure in Thread-Based Programming for a Highly Parallel Dataflow Machine EM-4 (M. Sato, et al.).
Programmability and Performance Issues of Multiprocessors on Hard Nonnumeric Problems (A. Sohn and J.-L. Gaudiot).
SECTION 3. COMPILING.
Exploiting Iteration-Level Parallelism in Dataflow Programs (L. Bic, et al.).
Empirical Study of a Dataflow Language on the CM-5 (D.E. Culler, et al.).
Programming the ADAM Architecture with SISAL (S. Mitrovic).
Can Dataflow Machines Be Programmed with an Imperative Language (S.F. Wail and D. Abramson)?
SECTION 4. RESOURCE MANAGEMENT AND SCHEDULING.
The Token Flow Model (J. Buck and E.A. Lee).
Distributed Task Management in SISAL (M. Haines and A.P.W. Bohm).
Load Balancing and Resource Management in the ADAM Machine (O.C. Maquelin).
Workload Management in Massively Parallel Computers: Some Dataflow Experiences (D.F. Snelling and J.R. Gurd).
Studies on Optimal Task Granularity and Random Mapping (T. Sterling, et al.).
The Effects of Resource Limitations on Program Parallelism (K.B. Theobald, et al.).
SECTION 5. PROGRAM CHARACTERISTICS AND PERFORMANCE STUDIES.
The Dataflow Parallelism of FFT (A.P.W. Bohm and R.E. Hiromoto).
Locality in the Dataflow Paradigm (J. Gottlieb and L..Biran).
Locality and Latency in Hybrid Dataflow (W.A. Najjar, et al.).
Implementation of Manipulator Control Computation on Conventional and Dataflow Multiprocessor (S. Zeng and G.K. Egan).
Biography.
Introduction.
SECTION 1. PROCESSOR DESIGN.
design Principle of Massively Parallel Distributed-Memory Multiprocessor Architecture (M. Amamiya and T. Kawano).
StarT the Next Generation: Integrating Global Caches and Dataflow Architecture (B.S. Ang, et al.).
Synchronization and Pipeline Design for a Multithreaded Massively Parallel Computer (S. Sakai).
Superpipelined Dynamic Data-Driven VLSI Processors (H. Terada, et al.).
SECTION 2. LANGUAGE AND PROGRAMMING ISSUES.
Stream Data Types for Signal Processing (J.B. Dennis).
Multilateral Diagrammatical Specification Environment Based on Data-Driven Paradigm (M. Iwata and H. Terada).
Coarse-Grain Dataflow Programming of Conventional Parallel Computers (R. Jogannathan).
Distributed Data Structure in Thread-Based Programming for a Highly Parallel Dataflow Machine EM-4 (M. Sato, et al.).
Programmability and Performance Issues of Multiprocessors on Hard Nonnumeric Problems (A. Sohn and J.-L. Gaudiot).
SECTION 3. COMPILING.
Exploiting Iteration-Level Parallelism in Dataflow Programs (L. Bic, et al.).
Empirical Study of a Dataflow Language on the CM-5 (D.E. Culler, et al.).
Programming the ADAM Architecture with SISAL (S. Mitrovic).
Can Dataflow Machines Be Programmed with an Imperative Language (S.F. Wail and D. Abramson)?
SECTION 4. RESOURCE MANAGEMENT AND SCHEDULING.
The Token Flow Model (J. Buck and E.A. Lee).
Distributed Task Management in SISAL (M. Haines and A.P.W. Bohm).
Load Balancing and Resource Management in the ADAM Machine (O.C. Maquelin).
Workload Management in Massively Parallel Computers: Some Dataflow Experiences (D.F. Snelling and J.R. Gurd).
Studies on Optimal Task Granularity and Random Mapping (T. Sterling, et al.).
The Effects of Resource Limitations on Program Parallelism (K.B. Theobald, et al.).
SECTION 5. PROGRAM CHARACTERISTICS AND PERFORMANCE STUDIES.
The Dataflow Parallelism of FFT (A.P.W. Bohm and R.E. Hiromoto).
Locality in the Dataflow Paradigm (J. Gottlieb and L..Biran).
Locality and Latency in Hybrid Dataflow (W.A. Najjar, et al.).
Implementation of Manipulator Control Computation on Conventional and Dataflow Multiprocessor (S. Zeng and G.K. Egan).
Biography.
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