Investigate and Parallel Processing using E1350 IBM eServer Cluster

Ayaz Ul Hassan Khan

ISBN 10: 365914732X / ISBN 13: 9783659147326

Verlag: LAP LAMBERT Academic Publishing Jun 2012, 2012

Beschreibung

This item is printed on demand - it takes 3-4 days longer - 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. 128 pp. Englisch. Bestandsnummer des Verkäufers 9783659147326

Bibliografische Details

Titel: Investigate and Parallel Processing using ...

Verlag: LAP LAMBERT Academic Publishing Jun 2012

Erscheinungsdatum: 2012

Einband: Taschenbuch

Zustand: Neu

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Reseña del editor:

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.