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Qatawneh, Mohammad
- A New Parallel Matrix Multiplication Algorithm on Hex-Cell Network (PMMHC) Using IMAN1 Supercomputer
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Authors
Affiliations
1 Department of Computer Science, King Abdullah II School for Information Technology, The University of Jordan, JO
2 Al-Balqa Applied University, JO
1 Department of Computer Science, King Abdullah II School for Information Technology, The University of Jordan, JO
2 Al-Balqa Applied University, JO
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 5 (2017), Pagination: 29-37Abstract
A widespread attention has been paid in parallelizing algorithms for computationally intensive applications. In this paper, we propose a new parallel Matrix multiplication on the Hex-cell interconnection network. The proposed algorithm has been evaluated and compared with sequential algorithm in terms of speedup, and efficiency using IMAN1, where a set of simulation runs, carried out on different input data distributions with different sizes. Thus, simulation results supported the theoretical analysis and meet the expectations in which they show good performance in terms of speedup and efficiency.Keywords
Parallel Processing, Matrix Multiplication, Interconnection Network, Hex-Cell.Full Text
References
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- Performance Evaluation of Parallel Bubble Sort Algorithm on Supercomputer IMAN1
Abstract Views :218 |
PDF Views:103
Authors
Affiliations
1 Department of Computer Science, King Abdullah II School for Information Technology, The University of Jordan, Amman, JO
1 Department of Computer Science, King Abdullah II School for Information Technology, The University of Jordan, Amman, JO
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 3 (2019), Pagination: 53-63Abstract
Parallel sorting algorithms order a set of elements USING MULTIPLE processors in order to enhance the performance of sequential sorting algorithms. In general, the performance of sorting algorithms are EVALUATED IN term of algorithm growth rate according to the input size. In this paper, the running time, parallel speedup and parallel efficiency OF PARALLEL bubble sort is evaluated and measured. Message Passing Interface (MPI) IS USED for implementing the parallel version of bubble sort and IMAN1 supercomputer is used to conduct the results. The evaluation results show that parallel bubble sort has better running time as the number of processors increases. On other hand, regarding parallel efficiency, parallel bubble sort algorithm is more efficient to be applied OVER SMALL number of processors.Keywords
MPI, Parallel Bubble Sort, Parallel Efficiency, Speed Up.Full Text
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