Paper Info
Title
Realizing parallelism in database operations: insights from a massively multithreaded architecture
Abstract
A new trend in processor design is increased on-chip support for multithreading in the form of both chip multiprocessors and simultaneous multithreading. Recent research in database systems has begun to explore increased thread-level parallelism made possible by these new multicore and multithreaded processors. The question of how best to use this new technology remains open, particularly as the number of cores per chip and threads per core increase. In this paper we use an existing massively multithreaded architecture, the Cray MTA-2, to explore the implications that a larger degree of on-chip multithreading may have for parallelism in database operations. We find that parallelism in database operations is easy to achieve on the MTA-2 and that, with little effort, parallelism can be made to scale linearly with the number of available processor cores.
Year
DOI
Venue
2006
10.1145/1140402.1140408
DaMoN
Keywords
Field
DocType
new multicore,realizing parallelism,on-chip multithreading,thread-level parallelism,available processor core,simultaneous multithreading,new technology,database system,new trend,database operation,multithreaded architecture,cray mta-2,oltp,chip,profile guided optimization,software optimization,itanium,thread level parallelism,cache coherency
Instruction-level parallelism,Multithreading,Computer science,Real-time computing,Temporal multithreading,Multi-core processor,Memory-level parallelism,Computer architecture,Task parallelism,Parallel computing,Simultaneous multithreading,Data parallelism,Database
Conference
ISBN
Citations 
PageRank 
1-59593-466-9
14
1.22
References 
Authors
18
4
Name
Order
Citations
PageRank
John Cieslewicz133519.95
Jonathan Berry2324.58
Bruce Hendrickson31669214.08
Kenneth A. Ross44110750.80