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» Optimistic parallelism benefits from data partitioning
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ICPP
1998
IEEE
13 years 12 months ago
Performance Implications of Architectural and Software Techniques on I/O-Intensive Applications
Many large scale applications, have significant I/O requirements as well as computational and memory requirements. Unfortunately, limited number of I/O nodes provided by the conte...
Meenakshi A. Kandaswamy, Mahmut T. Kandemir, Alok ...
PDCN
2007
13 years 9 months ago
One-to-all personalized communication in torus networks
Given a multicomputer system of parallel processors connected in a torus network, the one-to-all personalized communication is to send from the root processor unique data to each ...
Weizhen Mao, Jie Chen, William A. Watson III
VLDB
1998
ACM
180views Database» more  VLDB 1998»
13 years 11 months ago
Active Storage for Large-Scale Data Mining and Multimedia
The increasing performance and decreasing cost of processors and memory are causing system intelligence to move into peripherals from the CPU. Storage system designers are using t...
Erik Riedel, Garth A. Gibson, Christos Faloutsos
DEBS
2008
ACM
13 years 9 months ago
Event dissemination via group-aware stream filtering
We consider a distributed system that disseminates highvolume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we...
Ming Li, David Kotz
HPDC
2010
IEEE
13 years 8 months ago
Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...
Diana Moise, Gabriel Antoniu, Luc Bougé