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IAT
2009
IEEE
15 years 4 months ago
Distributed Constraint Optimization for Large Teams of Mobile Sensing Agents
Abstract. A team of mobile sensors can be used for coverage of targets in different environments. The dynamic nature of such an application requires the team of agents to adjust th...
Roie Zivan, Robin Glinton, Katia P. Sycara
IPPS
2005
IEEE
15 years 3 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
CCGRID
2010
IEEE
14 years 7 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold
HPDC
2010
IEEE
14 years 11 months ago
Cloud computing paradigms for pleasingly parallel biomedical applications
Cloud computing offers new approaches for scientific computing that leverage the major commercial hardware and software investment in this area. Closely coupled applications are s...
Thilina Gunarathne, Tak-Lon Wu, Judy Qiu, Geoffrey...
ATAL
2010
Springer
14 years 11 months ago
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds
Distributed Constraint Optimization (DCOP) is a popular framework for cooperative multi-agent decision making. DCOP is NPhard, so an important line of work focuses on developing f...
Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, ...