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JMLR
2010
141views more  JMLR 2010»
13 years 4 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
ISLPED
2003
ACM
95views Hardware» more  ISLPED 2003»
14 years 3 months ago
Power-aware scheduling of conditional task graphs in real-time multiprocessor systems
We propose a novel power-aware task scheduling algorithm for DVS-enabled real-time multiprocessor systems. Unlike the existing algorithms, the proposed DVS algorithm can handle co...
Dongkun Shin, Jihong Kim
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
14 years 4 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
SAC
2005
ACM
14 years 3 months ago
On unit task linear-nonlinear two-cluster scheduling problem
In parallel and distributed processing, tasks are ordinarily clustered and assigned to different processors or machines before they are scheduled. The assignment of tasks to proc...
Zhichun Xiao, Wing Ning Li, John Jing-Fu Jenq
CLUSTER
2005
IEEE
14 years 3 months ago
Static scheduling of dependent parallel tasks on heterogeneous clusters
This paper addresses the problem of scheduling parallel tasks, represented by a direct acyclic graph (DAG) on heterogeneous clusters. Parallel tasks, also called malleable tasks, ...
Jorge G. Barbosa, C. N. Morais, R. Nobrega, A. P. ...