DocumentCode :
186360
Title :
A cache topology-aware multi-query scheduler for multicore architectures
Author :
Orhan, Umut ; Wei Ding ; Yedlapalli, Praveen ; Kandemir, Mahmut ; Ozturk, Ozcan
fYear :
2014
fDate :
26-28 Oct. 2014
Firstpage :
86
Lastpage :
87
Abstract :
Growing performance gap between processors and main memory has made it worthwhile to consider off-chip data accesses in multi-query processing [2], [1], [3]. Exploiting data-sharing opportunities among concurrent queries can be critical for effective utilization of the underlying shared memory hierarchy. Given a set of queries, there may be a common retrieval operation for several cases to the same data. A query can benefit from the data previously loaded into the shared cache/memory space by another query. However, if these queries are scheduled independently, it is very likely that the same data is brought from off-chip memory to on-chip caches multiple times, thereby consuming off-chip bandwidth and slowing down overall execution.
Keywords :
cache storage; processor scheduling; query processing; shared memory systems; cache topology-aware multiquery scheduler; concurrent queries; data-sharing; multicore architectures; multiquery processing; off-chip bandwidth; off-chip data access; off-chip memory; on-chip caches; shared cache-memory space; shared memory hierarchy; Clustering algorithms; Educational institutions; Load management; Multicore processing; Sockets; System-on-chip; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Workload Characterization (IISWC), 2014 IEEE International Symposium on
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4799-6452-9
Type :
conf
DOI :
10.1109/IISWC.2014.6983047
Filename :
6983047
Link To Document :
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