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» Scalable Speculative Parallelization on Commodity Clusters
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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 7 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...
203
Voted
JAVA
2001
Springer
15 years 12 months ago
Implementation of a portable software DSM in Java
Rapid commoditization of advanced hardware and progress of networking technology is now making wide area high-performance computing a.k.a. the ‘Grid’ Computing a reality. Sinc...
Yukihiko Sohda, Hidemoto Nakada, Satoshi Matsuoka
194
Voted
HPCA
2002
IEEE
16 years 11 days ago
User-Level Communication in Cluster-Based Servers
Clusters of commodity computers are currently being used to provide the scalability required by severalpopular Internet services. In this paper we evaluate an efficient cluster-b...
Enrique V. Carrera, Srinath Rao, Liviu Iftode, Ric...
CLOUD
2010
ACM
16 years 15 days ago
G-Store: a scalable data store for transactional multi key access in the cloud
Cloud computing has emerged as a preferred platform for deploying scalable web-applications. With the growing scale of these applications and the data associated with them, scalab...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
196
Voted
IPPS
1999
IEEE
15 years 11 months ago
Low-Latency Message Passing on Workstation Clusters using SCRAMNet
Clusters of workstations have emerged as a popular platform for parallel and distributed computing. Commodity high speed networks which are used to connect workstation clusters pr...
Vijay Moorthy, Matthew G. Jacunski, Manoj Pillai, ...