Some Properties of Conservative Parallel Discrete Event Simulation
Author | : University of Washington. Department of Computer Science |
Publisher | : |
Total Pages | : 12 |
Release | : 1990 |
Genre | : |
ISBN | : |
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Author | : University of Washington. Department of Computer Science |
Publisher | : |
Total Pages | : 12 |
Release | : 1990 |
Genre | : |
ISBN | : |
Author | : University of Washington. Dept. of Computer Science |
Publisher | : |
Total Pages | : 314 |
Release | : 1989 |
Genre | : Computer simulation |
ISBN | : |
Author | : Victor Malyshkin |
Publisher | : Springer |
Total Pages | : 521 |
Release | : 2017-08-17 |
Genre | : Computers |
ISBN | : 3319629328 |
This book constitutes the proceedings of the 14th International Conference on Parallel Computing Technologies, PaCT 2017, held in Nizhny Novgorod, Russia, in September 2017. The 25 full papers and 24 short papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on mainstream parallel computing, parallel models and algorithms in numerical computation, cellular automata and discrete event systems, organization of parallel computation, parallel computing applications.
Author | : Carl Tropper |
Publisher | : Nova Publishers |
Total Pages | : 168 |
Release | : 2002 |
Genre | : Computers |
ISBN | : 9781590333778 |
Discrete-event simulation has long been an integral part of the design process of complex engineering systems and the modelling of natural phenomena. Many of the systems that we seek to understand or control can be modelled as digital systems. In a digital model, we view the system at discrete instants of time, in effect taking snapshots of the system at these instants. For example, in a computer network simulation an event can be the sending of a message from one node to another node while in a VLSI logic simulation, the arrival of a signal at a gate may be viewed as an event. Digital systems such as computer systems are naturally susceptible to this approach. However, a variety of other systems may also be modelled this way. These include transportation systems such as air-traffic control systems, epidemiological models such as the spreading of a virus, and military war-gaming models. This book is representative of the advances in this field.
Author | : Institute for Computer Applications in Science and Engineering |
Publisher | : |
Total Pages | : 36 |
Release | : 1990 |
Genre | : |
ISBN | : |
Author | : Reid Larmon Brown |
Publisher | : |
Total Pages | : 104 |
Release | : 1990 |
Genre | : Digital computer simulation |
ISBN | : |
Author | : Valmir C. Barbosa |
Publisher | : MIT Press |
Total Pages | : 390 |
Release | : 1996 |
Genre | : Computers |
ISBN | : 9780262024129 |
An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-memory systems such as computer networks, networks of work-stations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, programme debugging, and simulation that do not appear in more orthodox texts on distributed algorithms.
Author | : Jinsheng Xu |
Publisher | : |
Total Pages | : 296 |
Release | : 2002 |
Genre | : Computer simulation |
ISBN | : |
Author | : Roman Wyrzykowski |
Publisher | : Springer |
Total Pages | : 900 |
Release | : 2003-08-01 |
Genre | : Computers |
ISBN | : 3540480862 |
This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Parallel Processing and Applied Mathematics, PPAM 2002, held in Naleczow, Poland, in September 2001. The 101 papers presented were carefully reviewed and improved during two rounds of reviewing and revision. The book offers topical sections on distributed and grid architectures, scheduling and load balancing, performance analysis and prediction, parallel non-numerical algorithms, parallel programming, tools and environments, parallel numerical algorithms, applications, and evolutionary computing and neural networks.