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» Hardening Functions for Large Scale Distributed Computations
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NIPS
2007
15 years 6 months ago
Mining Internet-Scale Software Repositories
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...
Erik Linstead, Paul Rigor, Sushil Krishna Bajracha...
ICDCS
2011
IEEE
14 years 4 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
155
Voted
SODA
2008
ACM
126views Algorithms» more  SODA 2008»
15 years 6 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
HPDC
2008
IEEE
15 years 11 months ago
DataLab: transactional data-parallel computing on an active storage cloud
Active storage clouds are an attractive platform for executing large data intensive workloads found in many fields of science. However, active storage presents new system managem...
Brandon Rich, Douglas Thain
MABS
2004
Springer
15 years 10 months ago
Smooth Scaling Ahead: Progressive MAS Simulation from Single PCs to Grids
The emerging ”Computational Grid” infrastructure poses many new opportunities for the developing science of large scale multiagent simulation. The ability to migrate agent expe...
Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Este...