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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
15 years 9 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
76
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CCGRID
2008
IEEE
15 years 4 months ago
Optimized Distributed Data Sharing Substrate in Multi-core Commodity Clusters: A Comprehensive Study with Applications
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
Karthikeyan Vaidyanathan, Ping Lai, Sundeep Narrav...
ICS
1999
Tsinghua U.
15 years 1 months ago
Clustered speculative multithreaded processors
In this paper we present a processor microarchitecture that can simultaneously execute multiple threads and has a clustered design for scalability purposes. A main feature of the ...
Pedro Marcuello, Antonio González
GRID
2004
Springer
15 years 3 months ago
Parallel and Distributed Astronomical Data Analysis on Grid Datafarm
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a possibility of new science and new knowledge in the field, while it was not fe...
Naotaka Yamamoto, Osamu Tatebe, Satoshi Sekiguchi
CLUSTER
2010
IEEE
14 years 1 months ago
Middleware support for many-task computing
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...