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» Managing Distributed Applications Using Gush
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124
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IPPS
2010
IEEE
15 years 13 days ago
Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data
Innovative scientific applications and emerging dense data sources are creating a data deluge for highend computing systems. Processing such large input data typically involves cop...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...
134
Voted
ICIW
2009
IEEE
15 years 8 days ago
SynCFr: Synchronization Collaboration Framework
We present the SynCFr framework (Synchronization Collaboration Framework) supporting the management of composite applications and the synchronization of heterogeneous applications...
Liliana Ardissono, Anna Goy, Giovanna Petrone, Mar...
110
Voted
SOSP
2009
ACM
15 years 11 months ago
Helios: heterogeneous multiprocessing with satellite kernels
Helios is an operating system designed to simplify the task of writing, deploying, and tuning applications for heterogeneous platforms. Helios introduces satellite kernels, which ...
Edmund B. Nightingale, Orion Hodson, Ross McIlroy,...
110
Voted
SIGIR
2010
ACM
15 years 6 months ago
Hierarchical pitman-yor language model for information retrieval
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Saeedeh Momtazi, Dietrich Klakow
118
Voted
ATAL
2007
Springer
15 years 6 months ago
Towards simulating billions of agents in thousands of seconds
Building multi-agent systems that can scale up to very large number of agents is a challenging research problem. In this paper, we present Distributed Multi Agent System Framework...
I. V. Aprameya Rao, Manish Jain, Kamalakar Karlapa...