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PPOPP
2010
ACM
14 years 11 months ago
Helper locks for fork-join parallel programming
Helper locks allow programs with large parallel critical sections, called parallel regions, to execute more efficiently by enlisting processors that might otherwise be waiting on ...
Kunal Agrawal, Charles E. Leiserson, Jim Sukha
DGO
2007
150views Education» more  DGO 2007»
14 years 11 months ago
Event-triggered data and knowledge sharing among collaborating government organizations
Solving complex global problems such as illegal immigration, border control, and terrorism requires government organizations at all levels to share not only data but, more importa...
Seema Degwekar, Jeff DePree, Howard W. Beck, Carla...
88
Voted
SIROCCO
2008
14 years 11 months ago
Remembering without Memory: Tree Exploration by Asynchronous Oblivious Robots
In the effort to understand the algorithmic limitations of computing by a swarm of robots, the research has focused on the minimal capabilities that allow a problem to be solved. ...
Paola Flocchini, David Ilcinkas, Andrzej Pelc, Nic...
92
Voted
SBBD
2004
137views Database» more  SBBD 2004»
14 years 11 months ago
A Lock Manager for Collaborative Processing of Natively Stored XML Documents
Today, neither transactional provisions, in general, nor concurrency control, in particular, of DBMS-based processing are tailored to the specific needs of large and collaborative...
Michael Peter Haustein, Theo Härder
101
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
14 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar