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» Optimizing for parallelism and data locality
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ICS
2005
Tsinghua U.
15 years 3 months ago
Think globally, search locally
A key step in program optimization is the determination of optimal values for code optimization parameters such as cache tile sizes and loop unrolling factors. One approach, which...
Kamen Yotov, Keshav Pingali, Paul Stodghill
TJS
2008
98views more  TJS 2008»
14 years 10 months ago
Mapping functions and data redistribution for parallel files
A parallel file may be physically stored on several independent disks and logically partitioned by several processors. This paper presents general algorithms for mapping between t...
Florin Isaila, Walter F. Tichy
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
14 years 7 months ago
Dynamic path planning with multi-agent data fusion - The Parallel Hierarchical Replanner
The design of a hierarchical planning system in which each level operates in parallel and communicates asynchronously is presented. It is shown that this Parallel Hierarchical Repl...
Thomas Allen, Andrew Hill, James Patrick Underwood...
106
Voted
ICDT
2001
ACM
147views Database» more  ICDT 2001»
15 years 2 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
SPRINGSIM
2008
14 years 11 months ago
Data parallel execution challenges and runtime performance of agent simulations on GPUs
Programmable graphics processing units (GPUs) have emerged as excellent computational platforms for certain general-purpose applications. The data parallel execution capabilities ...
Kalyan S. Perumalla, Brandon G. Aaby