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» Algorithms for Large, Sparse Network Alignment Problems
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EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
15 years 7 months ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...
HIPC
2009
Springer
15 years 2 days ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
ATAL
2004
Springer
15 years 7 months ago
Scaling Teamwork to Very Large Teams
As a paradigm for coordinating cooperative agents in dynamic environments, teamwork has been shown to be capable of leading to flexible and robust behavior. However, when we appl...
Paul Scerri, Yang Xu, Elizabeth Liao, Justin Lai, ...
CORR
2011
Springer
172views Education» more  CORR 2011»
14 years 5 months ago
Uncovering the Temporal Dynamics of Diffusion Networks
Time plays an essential role in the diffusion of information, influence and disease over networks. In many cases we only observe when a node copies information, makes a decision ...
Manuel Gomez-Rodriguez, David Balduzzi, Bernhard S...
ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
15 years 7 months ago
Scalability and schedulability in large, coordinated, distributed robot systems
— Multiple, independent robot platforms promise significant advantage with respect to robustness and flexibility. However, coordination between otherwise independent robots req...
John Sweeney, Huan Li, Roderic A. Grupen, Krithi R...