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» What is worth learning from parallel workloads
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IEEEPACT
2008
IEEE
14 years 13 days ago
Multitasking workload scheduling on flexible-core chip multiprocessors
While technology trends have ushered in the age of chip multiprocessors (CMP) and enabled designers to place an increasing number of cores on chip, a fundamental question is what ...
Divya Gulati, Changkyu Kim, Simha Sethumadhavan, S...
SIGARCH
2008
107views more  SIGARCH 2008»
13 years 6 months ago
Multitasking workload scheduling on flexible core chip multiprocessors
While technology trends have ushered in the age of chip multiprocessors (CMP) and enabled designers to place an increasing number of cores on chip, a fundamental question is what ...
Divya Gulati, Changkyu Kim, Simha Sethumadhavan, S...
IJCV
2011
264views more  IJCV 2011»
13 years 29 days ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
CCGRID
2007
IEEE
14 years 11 days ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
IPPS
2006
IEEE
14 years 1 days ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...