Parallel Computing on Heterogeneous Networks
- New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture
- Provides a detailed introduction to parallel computing on heterogenous clusters
- All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster
- The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction
PART I. EVOLUTION OF PARALLEL COMPUTING.
Serial Scalar Processor.
Vector and Superscalar Processors.
Shared Memory Multiprocessors.
Distributed Memory Multiprocessors.
Networks of Computers: Architecture and Programming Challenges.
PART II. PARALLEL PROGRAMMING FOR NETWORKS OF COMPUTERS WITH MPC AND HMPI.
Introduction to mpC.
Advanced Heterogeneous Parallel Programming in mpC.
Toward a Message-Passing Library for Heterogeneous Networks of Computers.
PART III. APPLICATIONS OF HETEROGENEOUS PARALLEL COMPUTING.
Business and Software Engineering Applications.
Appendix A: The mpC N-Body Application.
Appendix B: The Block Cyclic Matrix Multiplication Routine for Heterogeneneous Platforms.
Appendix C: The Parallel Adaptive Quadrature Routine.
Appendix D: The mpC User's Guide.