Abstract
This paper discusses execution time versus number of simultaneous operations in parallel computing systems. The main focus is on shared memory multiprocessors. A model for execution time as a function of the number of processes used in a computation is developed. The model addresses the effect of sequential code, code which can be executed by only a limited number of processes, hardware limits to speedup, critical section synchronization overhead and the influence of task granularity. The model is shown to correspond very closely to experimental measurements of execution time on the HEP pipelined, shared memory multiprocessor. Use of the model as an analysis tool in complex parallel programs is indicated.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: SIAM Journal on Scientific and Statistical Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
