High Performance Computing : Technology,

High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization.The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers. In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems.The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business. The book is recommended for technical as well as management oriented individuals.

Editorial Preface
General. Preface, about high performance computing and this book
Heterogeneous network-based computing systems
Data communication and high performance computing
Scalability of parallel systems: efficiency versus execution time
Architectural features affecting total scalability of parallel systems
Hardware Systems. Trends in high-performance computer architecture
The CONVEX Exemplar SPP1200 - a new scalable parallel system with a virtual shared memory architecture
Hardware performance of the VPP500 parallel supercomputer
The balance of power - a brief history of cray research hardware architectures
Designing a scalable parallel system: the IBM SP2
Programming and Software. An integrated environment for the support of automatic compilation
The design and implementation of the reduction routines in ScaLAPACK
Software tools for parallel computers and workstation clusters
Mentat-applying the object-oriented paradigm to parallel processing
Parallel loop scheduling for high performance computers
The MPI message-passing interface standard: overview and status
Software engineering considerations in the construction of parallel programs
Applications
A role for high performance computing in surgery
Parallel shortest paths methods for globally optimal trajectories
Financial applications and HPF
Virtual reality and high performance computing
Collaborative computing
Sparse block and cyclic data distributions for matrix computations
Parallel image compression with JPEG for multimedia applications
High performance computational chemistry; NWChem and fully distributed parallel applications
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High Performance Computing : Technology, Methods and Applications

Summary

Table of Contents

Supplemental Materials