investigate parallel processing using de khan ayaz (8 resultados)

Condición: New. pp. 128.

Taschenbuch. Condición: Neu. 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.

Paperback. Condición: Like New. Like New. book.

Taschenbuch. Condición: Neu. 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.

Condición: New. Print on Demand pp. 128 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 128.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Ayaz ul HassanAyaz 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 Prog.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.