ABSTRACT

The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a

part |2 pages

Models

chapter 1|22 pages

Evolving Computational Systems

chapter 14|28 pages

Dynamic Reconfiguration on the R-Mesh

chapter 16|22 pages

Reconfigurable Computing with Optical Buses

part |2 pages

Alogorithms

chapter 17|18 pages

Distributed Peer-to-Peer Data Structures

chapter 19|32 pages

Broadcasting on Networks of Workstations

chapter 20|30 pages

Atomic Selfish Routing in Networks: A Survey

chapter 21|20 pages

Scheduling in Grid Environments

chapter 30|24 pages

Parallel Algorithms on Strings

chapter 33|32 pages

An Overview of Mobile Computing Algorithmics

part |2 pages

Applications

chapter 37|24 pages

Online Computation in Large Networks

chapter 43|16 pages

Scalability of Parallel Programs

chapter 46|36 pages

Effectively Managing Data on a Grid