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CLUSTER
2002
IEEE
14 years 1 months ago
Kernel-Level Caching for Optimizing I/O by Exploiting Inter-Application Data Sharing
With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only ess...
Murali Vilayannur, Mahmut T. Kandemir, Anand Sivas...
HPCC
2007
Springer
14 years 3 months ago
A Windows-Based Parallel File System
Parallel file systems are widely used in clusters to provide high performance I/O. However, most of the existing parallel file systems are based on UNIX-like operating systems. W...
Lungpin Yeh, Juei-Ting Sun, Sheng-Kai Hung, Yarsun...
CLOUDCOM
2010
Springer
13 years 7 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
14 years 9 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
JCSS
2008
81views more  JCSS 2008»
13 years 9 months ago
A simulator for adaptive parallel applications
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch