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Load Balancing in Parallel Models using Optimization & Virtualization: Optimization of single programme multiple data virtualization in parallel environment - Brossura
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Parallel programming frameworks are emerging and challenging area in the era of parallel computing. A system developer uses parallel programming frameworks to reduce the execution time required for solving the jobs by converting sequential jobs in to a platform which has many processors. Systems adapting conversion from sequential to parallel style using the parallel programming frameworks are frequently influenced by the type of application and platform used. Two types of memory model used for parallel programming frameworks are distributed memory and shared memory.
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- EditoreScholars' Press
- Data di pubblicazione2020
- ISBN 10 6138944976
- ISBN 13 9786138944973
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine104
- Contatto del produttorenon disponibile
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Load Balancing in Parallel Models using Optimization & Virtualization
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ISBN 10: 6138944976
ISBN 13: 9786138944973
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Parallel programming frameworks are emerging and challenging area in the era of parallel computing. A system developer uses parallel programming frameworks to reduce the execution time required for solving the jobs by converting sequential jobs in to a platform which has many processors. Systems adapting conversion from sequential to parallel style using the parallel programming frameworks are frequently influenced by the type of application and platform used. Two types of memory model used for parallel programming frameworks are distributed memory and shared memory. 104 pp. Englisch. Codice articolo 9786138944973
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Load Balancing in Parallel Models using Optimization & Virtualization
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Scholars' Press Nov 2020, 2020
ISBN 10: 6138944976
ISBN 13: 9786138944973
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Taschenbuch. Condizione: Neu. Neuware -Parallel programming frameworks are emerging and challenging area in the era of parallel computing. A system developer uses parallel programming frameworks to reduce the execution time required for solving the jobs by converting sequential jobs in to a platform which has many processors. Systems adapting conversion from sequential to parallel style using the parallel programming frameworks are frequently influenced by the type of application and platform used. Two types of memory model used for parallel programming frameworks are distributed memory and shared memory.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Codice articolo 9786138944973
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Load Balancing in Parallel Models using Optimization & Virtualization : Optimization of single programme multiple data virtualization in parallel environment
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Parallel programming frameworks are emerging and challenging area in the era of parallel computing. A system developer uses parallel programming frameworks to reduce the execution time required for solving the jobs by converting sequential jobs in to a platform which has many processors. Systems adapting conversion from sequential to parallel style using the parallel programming frameworks are frequently influenced by the type of application and platform used. Two types of memory model used for parallel programming frameworks are distributed memory and shared memory. Codice articolo 9786138944973
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