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FGCS
2007
160views more  FGCS 2007»
13 years 9 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
HCW
1998
IEEE
14 years 1 months ago
A Dynamic Matching and Scheduling Algorithm for Heterogeneous Computing Systems
A heterogeneous computing system provides a variety of different machines, orchestrated to perform an application whose subtasks have diverse execution requirements. The subtasks ...
Muthucumaru Maheswaran, Howard Jay Siegel
RTS
2006
132views more  RTS 2006»
13 years 9 months ago
A framework for modular analysis and exploration of heterogeneous embedded systems
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
Arne Hamann, Marek Jersak, Kai Richter, Rolf Ernst
ICPADS
2002
IEEE
14 years 1 months ago
Adaptive Matrix Multiplication in Heterogeneous Environments
In this paper, an adaptive matrix multiplication algorithm for dynamic heterogeneous environments is developed and evaluated. Unlike the state-of-the-art approaches, where load ba...
Bo Hong, Viktor K. Prasanna
EUROPAR
2009
Springer
14 years 3 months ago
Steady-State for Batches of Identical Task Trees
Abstract In this paper, we focus on the problem of scheduling batches of identical task graphs on a heterogeneous platform, when the task graph consists in a tree. We rely on stead...
Sékou Diakité, Loris Marchal, Jean-M...