Title :
Performance prediction model for SPMD massively parallel computing systems
Author :
Lin, Wei-Ming ; Lu, Zhenhong
Author_Institution :
Div. of Eng., Texas Univ., San Antonio, TX, USA
Abstract :
The development of a prediction process for estimating the performance of parallel algorithms designed for distributed memory multiprocessor systems is discussed in this paper. This effort is targeted in reducing the waste of computing as well as man power in developing efficient parallel algorithms by providing rough analysis on the execution time of the developed algorithms without actually running the user programs on the actual parallel machines. A preliminary version of this tool has been in use leading to relatively reliable prediction results
Keywords :
distributed memory systems; parallel algorithms; parallel machines; performance evaluation; SPMD massively parallel computing systems; distributed memory multiprocessor systems; parallel algorithms; performance prediction model; prediction process; rough analysis; Algorithm design and analysis; Concurrent computing; Design engineering; Multiprocessing systems; Parallel algorithms; Parallel machines; Parallel processing; Power engineering computing; Predictive models; Process design;
Conference_Titel :
Computers and Communications, 1995., Conference Proceedings of the 1995 IEEE Fourteenth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-7803-2492-7
DOI :
10.1109/PCCC.1995.472452
