Title :
Related studies of incremental memory statistics varying with parallel system scale
Author :
Hu, Yue ; Tong, Weiqin ; Cui, Yanbao ; Cai, Liangliang ; Li, Ying
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
In parallel computing, especially in the field of massively large scale problems, such as the complex large scale electromagnetic problems, the memory requirement is extremely huge. To understand the memory shifting pattern, when the system size alternating is crucial in optimizing or utilizing a parallel program. In this paper, an incremental memory statistic model, varying with system size, is proposed, which is also available to comprehending the entire memory requirement of a program. Based on the statistic model, the relationship of memory and time is also analyzed.
Keywords :
parallel programming; statistical analysis; storage management; incremental memory statistics; memory requirement; memory shifting pattern; parallel computing; parallel program; parallel system scale; statistic model; system size; Analytical models; Computational modeling; Educational institutions; Lead; incremental memory statistic model; memory shifting pattern; parallel computing; relationship of memory and time;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6788-4
DOI :
10.1109/PIC.2010.5687858