Investigate and Parallel Processing using E1350 IBM eServer Cluster

Ayaz Ul Hassan Khan

ISBN 10: 365914732X / ISBN 13: 9783659147326

Editore: LAP LAMBERT Academic Publishing Jun 2012, 2012

Riguardo questo articolo

Neuware -The objective of this project report is to explore the architecture of E1350 IBM eServer Cluster and parallel programming in OpenMP, MPI and MPI+OpenMP using Intel C/C++ Compilers. By implementing some applications using these programming models, we can analyze the effects of each of the model on speedup. I have used four applications to analyze the effects that are Jacobi Iterative Method, Alternating Direction Implicit (ADI), Matrix Multiplication and Bucket Sorting. The general observations are as follows: ¿ Using MPI and MPI+OpenMP will not give significant speedup if used directly with the same program structure. We need to have modified the structure of the programs to reduce communication-to-computation ratio as much as possible. ¿ Running threads on different physical processors can cause significant barrier. ¿ When using 8-threads, synchronization must occur between all threads and this need communications between two physical processors. ¿ Communications between two physical processors is expensive compare to communications between cores. Thus, more cost is paid in term of more waiting time at barrier.Books on Demand GmbH, Überseering 33, 22297 Hamburg 128 pp. Englisch.

Codice articolo 9783659147326

Dati bibliografici

• Titolo: Investigate and Parallel Processing using E1350 IBM eServer Cluster
• Editore: LAP LAMBERT Academic Publishing Jun 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 365914732X
• ISBN 13: 9783659147326
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

The objective of this project report is to explore the architecture of E1350 IBM eServer Cluster and parallel programming in OpenMP, MPI and MPI+OpenMP using Intel C/C++ Compilers. By implementing some applications using these programming models, we can analyze the effects of each of the model on speedup. I have used four applications to analyze the effects that are Jacobi Iterative Method, Alternating Direction Implicit (ADI), Matrix Multiplication and Bucket Sorting. The general observations are as follows: • Using MPI and MPI+OpenMP will not give significant speedup if used directly with the same program structure. We need to have modified the structure of the programs to reduce communication-to-computation ratio as much as possible. • Running threads on different physical processors can cause significant barrier. • When using 8-threads, synchronization must occur between all threads and this need communications between two physical processors. • Communications between two physical processors is expensive compare to communications between cores. Thus, more cost is paid in term of more waiting time at barrier.

L'autore

Ayaz ul Hassan Khan obtained his MS and BS degrees in Computer Science from Pakistan. He has four years of experience in both industry and academics. He has hands-on experience in Database programming, Network Programming, Embedded Systems Programming, and Parallel Programming. He is doing his PhD in the field of Parallel Computing.