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» Parallelizing query optimization
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143
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IPPS
2008
IEEE
15 years 10 months ago
Scaling alltoall collective on multi-core systems
MPI Alltoall is one of the most communication intense collective operation used in many parallel applications. Recently, the supercomputing arena has witnessed phenomenal growth o...
Rahul Kumar, Amith R. Mamidala, Dhabaleswar K. Pan...
163
Voted
ICPPW
2007
IEEE
15 years 10 months ago
Power Management of Multicore Multiple Voltage Embedded Systems by Task Scheduling
We study the role of task-level scheduling in power management on multicore multiple voltage embedded systems. Multicore on-achip, in particular DSP systems, can greatly improve p...
Gang Qu
111
Voted
ICPP
1998
IEEE
15 years 8 months ago
High-Level Information - An Approach for Integrating Front-End and Back-End Compilers
We propose a new universal High-Level Information (HLI) format to effectively integrate front-end and back-end compilers by passing front-end information to the back-end compiler....
Sangyeun Cho, Jenn-Yuan Tsai, Yonghong Song, Bixia...
154
Voted
SIGMOD
2002
ACM
93views Database» more  SIGMOD 2002»
16 years 3 months ago
Implementing database operations using SIMD instructions
Modern CPUs have instructions that allow basic operations to be performed on several data elements in parallel. These instructions are called SIMD instructions, since they apply a...
Jingren Zhou, Kenneth A. Ross
231
Voted
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 5 months ago
MOOLAP: Towards Multi-Objective OLAP
Aggregation is among the core functionalities of OLAP systems. Frequently, such queries are issued in decision support systems to identify interesting groups of data. When more tha...
Shyam Antony, Ping Wu, Divyakant Agrawal, Amr El A...