An Extension of Fortran for High Performance Parallel Computing
Programming and Computing Software
An approach to the development of debuggers that use semantics of constructs of parallel programs
Programming and Computing Software
Parallel linear congruential generators with Sophie-Germain moduli
Parallel Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 1 - Volume 02
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13 - Volume 14
Introduction to parallel programming using message-passing
Journal of Computing Sciences in Colleges
Distributed Quasi-Monte Carlo Algorithm for Option Pricing on HNOWs Using mpC
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 2
Data partitioning for multiprocessors with memory heterogeneity and memory constraints
Scientific Programming - International Symposium of Parallel and Distributed Computing & International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogenous Networks
Journal of Parallel and Distributed Computing
Future Generation Computer Systems
Performance modeling and analysis of heterogeneous meta-computing systems interconnection networks
Computers and Electrical Engineering
International Journal of High Performance Computing Applications
Parallel quasirandom number generations for heterogeneous computing environments
International Journal of Parallel, Emergent and Distributed Systems
Toward the parallelization of GSL
The Journal of Supercomputing
Asynchronous Language and System of Numerical Algorithms Fragmented Programming
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
Journal of Signal Processing Systems
SmartNetSolve: high-level programming system for high performance grid computing
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Parallel morphological processing of hyperspectral image data on heterogeneous networks of computers
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Automatic tuning of iterative computation on heterogeneous multiprocessors with ADITHE
The Journal of Supercomputing
A fortran evolution of mpc parallel programming language
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
An implementation of the matrix multiplication algorithm SUMMA in mpf
PaCT'05 Proceedings of the 8th international conference on Parallel Computing Technologies
Hi-index | 0.00 |
From the Publisher:"Traditional software for parallel computing typically spreads computations evenly over a set of linked processors. This, however, may not always be the best way of maximizing the performance of a given network or cluster of computers. By taking account of the actual performance of individual processors and the links between them, parallel computing on heterogeneous networks offers significant improvements in parallel computation. Alexey Lastovetsky's Parallel Computing on Heterogeneous Networks provides a resource on his innovative technology." "This text begins with a general introduction to parallel computing, then progresses to the specifics of parallel computing with heterogeneous networks. Practically oriented, the book includes illustrative algorithms in the mpC programming language, a unique high-level software tool designed by the author specifically for programming heterogeneous parallel algorithms. All concepts and algorithms are illustrated with working programs that can be compiled or executed on any cluster." All of the contents are also illustrated by carefully tested source code, allowing readers to play with the presented software tools and algorithms - particularly with the mpC programming language - while reading the book. Appendices provide both the complete source code and user's guide for the principal applications used to illustrate the book's material. Parallel Computing on Heterogeneous Networks proves a superior reference for researchers and graduate students in computer science.