parallel processing experience (4 risultati)

Paperback. Condizione: Very Good. We are unable to ship to Canada at this time.Ex-library hardcover no dj (blue boards) in very nice condition with the usual library markings and attachments. Text block clean and unmarked. Tight binding.

Hardcover. Condizione: Good condition. Condizione sovraccoperta: Good dust jacket. NOT a library discard (illustratore). First Printing of the First Edition. Digital Press, 1987. HARDCOVER edition. Good condition in a Good dust jacket. Chips and short closed tears to the jacket have been reinfiorced with clear tape on the blank side. Sharp corners. Small nick to the spine. Previous owner's business card (Christopher William Hisgen) taped to the pastedown endpaper. The book's LOC code and ISBN are inked on the title page. Paper clip impression in the upper margin of a small number of leaves. Pages are otherwise clean and unmarked with NO underlining. NO highlighting. NO margin notes. Graphs. Figures. Bound in the original bluish-gray cloth, stamped in bright white. Complete with dust jacket. First Printing of the First Edition. Hardcover. Good condition/Good dust jacket. Illus. by NOT a library discard. xv, 455pp. Great Packaging, Fast Shipping.

Paperback. Condizione: Like New. Like New. book.

Taschenbuch. Condizione: 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.