Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Distributed and Parallel Computing: 6th International Conference on Algorithms and Architectures for Parallel Processing, Ica3pp, Melbourne, Australia

Distributed and Parallel Computing: 6th International Conference on Algorithms and Architectures for Parallel Processing, Ica3pp, Melbourne, Australia

Hobbs, Michael
Goscinski, Andrzej
Zhou, Wanlei

Paperback

General ComputersNetworkingProgramming

ISBN10: 3540292357
ISBN13: 9783540292357
Publisher: Springer
Published: Sep 19 2005
Pages: 452
Weight: 1.43
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English
There are many applications that require parallel and distributed processing to allow complicated engineering, business and research problems to be solved in a reasonable time. Parallel and distributed processing is able to improve company profit, lower costs of design, production, and deployment of new technologies, and create better business environments. The major lesson learned by car and aircraft engineers, drug manufacturers, genome researchers and other specialist is that a computer system is a very powerful tool that is able to help them solving even more complicated problems. That has led computing specialists to new computer system architecture and exploiting parallel computers, clusters of clusters, and distributed systems in the form of grids. There are also institutions that do not have so complicated problems but would like to improve profit, lower costs of design and production by using parallel and distributed processing on clusters. In general to achieve these goals, parallel and distributed processing must become the computing mainstream. This implies a need for new architectures of parallel and distributed systems, new system management facilities, and new application algorithms. This also implies a need for better understanding of grids and clusters, and in particular their operating systems, scheduling algorithms, load balancing, heterogeneity, transparency, application deployment, which is of the most critical importance for their development and taking them by industry and business.

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