DocumentCode :
2000885
Title :
Exploiting Content Similarity to Improve Memory Performance in Large-Scale High-Performance Computing Systems
Author :
Levy, Scott
Author_Institution :
Dept. of Comput. Sci., Univ. of New Mexico, Albuquerque, NM, USA
fYear :
2013
fDate :
20-24 May 2013
Firstpage :
2258
Lastpage :
2261
Abstract :
As we consider building the next generation of extreme-scale systems, many of the biggest challenges are related to memory characteristics. In particular, overcoming challenges related to resilience and memory bandwidth will require innovative strategies for improving the performance of main memory. In this paper, we propose to exploit memory content similarity to improve memory performance. We begin by presenting several novel strategies that leverage memory content similarity to improve system resilience and effective memory bandwidth. Additionally, we seek to understand the source of similarity in the memory of HPC applications.
Keywords :
DRAM chips; large-scale systems; parallel processing; performance evaluation; storage management; HPC applications; extreme-memory characteristics; extreme-scale systems; innovative strategies; large-scale high-performance computing systems; memory bandwidth; memory content similarity; memory performance improvement; system resilience; Bandwidth; Error correction codes; Laboratories; Linux; Memory management; Program processors; Random access memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
Conference_Location :
Cambridge, MA
Print_ISBN :
978-0-7695-4979-8
Type :
conf
DOI :
10.1109/IPDPSW.2013.75
Filename :
6651144
Link To Document :
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