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» Optimizing for parallelism and data locality
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88
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GECCO
2007
Springer
207views Optimization» more  GECCO 2007»
15 years 4 months ago
A data parallel approach to genetic programming using programmable graphics hardware
In recent years the computing power of graphics cards has increased significantly. Indeed, the growth in the computing power of these graphics cards is now several orders of magn...
Darren M. Chitty
MM
1994
ACM
151views Multimedia» more  MM 1994»
15 years 2 months ago
Distributed Parallel Data Storage Systems: A Scalable Approach to High Speed Image Servers
We have designed, built, and analyzed a distributed parallel storage system that will supply image streams fast enough to permit multi-user, "real-time", video-like appl...
Brian Tierney, Jason Lee, Ling Tony Chen, Hanan He...
IPPS
2009
IEEE
15 years 4 months ago
Elastic scaling of data parallel operators in stream processing
We describe an approach to elastically scale the performance of a data analytics operator that is part of a streaming application. Our techniques focus on dynamically adjusting th...
Scott Schneider, Henrique Andrade, Bugra Gedik, Al...
89
Voted
ASPLOS
2006
ACM
15 years 4 months ago
Accelerator: using data parallelism to program GPUs for general-purpose uses
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
David Tarditi, Sidd Puri, Jose Oglesby
94
Voted
IPPS
2010
IEEE
14 years 8 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...