Load Balancing in Parallel Models using Optimization & Virtualization
Optimization of single programme multiple data virtualization in parallel environment
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Rajesh Tiwari, Manisha Sharma, Kamal K. Mehta
Tiwari, RajeshDr. Rajesh Tiwari received his PhD degree from CSVTU, Bhilai in 2020 in Computer Science and Engineering. He has to his credit more than 65 papers in various International and National Journals and conferences, with more than 19 years of teaching and research experience. He is published four Patents. He is presently working as Associate Professor.
Bibliographische Angaben
- Autoren: Rajesh Tiwari , Manisha Sharma , Kamal K. Mehta
- 2020, 104 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: Scholar's Press
- ISBN-10: 6138944976
- ISBN-13: 9786138944973
Sprache:
Englisch
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