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» Parallel matrix algorithms and applications
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IPPS
2008
IEEE
15 years 11 months ago
A simple power-aware scheduling for multicore systems when running real-time applications
High-performance microprocessors, e.g., multithreaded and multicore processors, are being implemented in embedded real-time systems because of the increasing computational require...
Diana Bautista, Julio Sahuquillo, Houcine Hassan, ...
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IPPS
2006
IEEE
15 years 10 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
HPDC
2002
IEEE
15 years 9 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
HIPC
2009
Springer
15 years 2 months ago
Supporting load balancing for distributed data-intensive applications
In data-intensive computing, an important problem that has received relatively little attention is of transparent processing of data stored in remote data repositories. Interesting...
Leonid Glimcher, Vignesh T. Ravi, Gagan Agrawal
IPPS
2009
IEEE
15 years 11 months ago
Multi-dimensional characterization of temporal data mining on graphics processors
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...