DocumentCode :
2959073
Title :
Switching Optically-Connected Memories in a Large-Scale System
Author :
Chakraborty, Abhirup ; Schenfeld, Eugen ; Silva, Dilma Da
fYear :
2012
fDate :
21-25 May 2012
Firstpage :
727
Lastpage :
738
Abstract :
Recent trends in processor and memory systems in large-scale computing systems reveal a new "memory wall" that prompts investigation on alternate main memory organization separating main memory from processors and arranging them in separate ensembles. In this paper, we study the feasibility of transferring data across processors by using the optical interconnection fabric that acts as a bridge between processor and memory ensembles. We propose a memory switching protocol that transfers data across processors without physically moving the data across electrical switches. Such a mechanism allows large-scale data communication across processors through transfer of a few tiny blocks of meta-data. We present detailed techniques for supporting two communication patterns prevalent in any large-scale scientific and data management applications. We present experimental results analyzing the feasibility of memory switching in a wide range of applications, and characterize applications based on the impact of the memory switching on their performance.
Keywords :
electronic data interchange; large-scale systems; memory protocols; storage management chips; communication patterns; data management applications; data transfer; electrical switches; large-scale computing systems; large-scale data communication; large-scale scientific management application; large-scale system; main memory organization; memory ensembles; memory switching protocol; memory systems; memory wall; meta-data; optical interconnection fabric; processor systems; switching optically-connected memory; Blades; Fabrics; Memory management; Optical imaging; Optical interconnections; Optical switches; Memory Segregation; Memory Switching; Optical Interconnection Fabric; Optically-connected Memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International
Conference_Location :
Shanghai
ISSN :
1530-2075
Print_ISBN :
978-1-4673-0975-2
Type :
conf
DOI :
10.1109/IPDPS.2012.71
Filename :
6267883
Link To Document :
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