Title :
Decoupling as a Foundation for Large Scale Parallel Computing
Author_Institution :
CIS Dept., Temple Univ., Philadelphia, PA, USA
Abstract :
The ldquomain-streamrdquo inter-process communication models (share-memory and message-passing) require the programmers responsible for the construction of a very complex state machine for parallel processing. This has resulted multiple difficulties including programming, performance tuning, debugging, job scheduling and fault tolerance. The most troubling is the degree of difficulties. It increases exponentially as the multiprocessor grows in size. Inspired by the successes of packet switching protocols, this paper reports our preliminary findings in using decoupling technologies for parallel applications with high reliability, high performance and programmability.
Keywords :
fault tolerant computing; message passing; parallel programming; complex state machine; debugging; fault tolerance; inter-process communication model; job scheduling; message passing; multiprocessor; packet switching protocol; parallel computing; parallel processing; performance tuning; programming; share memory; Computer architecture; Debugging; Fault tolerance; High performance computing; Large-scale systems; Parallel processing; Parallel programming; Programming profession; Protocols; Space technology; Dataflow Parallel Processing; Fault Tolerant High Performance Computing Architecture; Parallel Markup Language; Tuple Space Parallel Programming;
Conference_Titel :
High Performance Computing and Communications, 2009. HPCC '09. 11th IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4600-1
Electronic_ISBN :
978-0-7695-3738-2
DOI :
10.1109/HPCC.2009.53