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» Optimizing for parallelism and data locality
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MICRO
1997
IEEE
128views Hardware» more  MICRO 1997»
15 years 2 months ago
Run-Time Spatial Locality Detection and Optimization
As the disparity between processor and main memory performance grows, the number of execution cycles spent waiting for memory accesses to complete also increases. As a result, lat...
Teresa L. Johnson, Matthew C. Merten, Wen-mei W. H...
TCSV
2010
14 years 4 months ago
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
Abstract--Real-time stereo vision is attractive in many applications like robot navigation and 3D scene reconstruction. Data parallel platforms, e.g. GPU, is often used for real-ti...
Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Ho...
WCRE
2002
IEEE
15 years 3 months ago
Exposing Data-Level Parallelism in Sequential Image Processing Algorithms
As new computer architectures are developed to exploit large-scale data-level parallelism, techniques are needed to retarget legacy sequential code to these platforms. Sequential ...
Lewis B. Baumstark Jr., Linda M. Wills
ICDCS
2007
IEEE
15 years 4 months ago
Distributed Resource Management and Admission Control of Stream Processing Systems with Max Utility
A fundamental problem in a large scale decentralized stream processing system is how to best utilize the available resources and admission control the bursty and high volume input...
Cathy H. Xia, Donald F. Towsley, Chun Zhang
ICPPW
2005
IEEE
15 years 3 months ago
Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
This paper addresses the Microarray Gene Ordering problem. It consists in ordering a set of genes, grouping together the ones with similar behavior. This behavior can be measured ...
Alexandre Mendes, Carlos Cotta, Vinícius Ga...