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SODA
2008
ACM
126views Algorithms» more  SODA 2008»
13 years 9 months ago
On distributing symmetric streaming computations
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
OPODIS
2004
13 years 9 months ago
Self-optimizing DHTs Using Request Profiling
S (in alphabetic order by speaker surname) Speaker: Uri Abraham (Ben-Gurion University) Title: Self-Stabilizing TimeStamps : Speaker: Anish Arora (Ohio State) Title: Self-Stabilizi...
Alina Bejan, Sukumar Ghosh
USENIX
2003
13 years 9 months ago
Operating System I/O Speculation: How Two Invocations Are Faster Than One
We present an in-kernel disk prefetcher which uses speculative execution to determine what data an application is likely to require in the near future. By placing our design withi...
Keir Faser, Fay Chang
USENIX
1994
13 years 9 months ago
TreadMarks: Distributed Shared Memory on Standard Workstations and Operating Systems
TreadMarks is a distributed shared memory DSM system for standard Unix systems such as SunOS and Ultrix. This paper presents a performance evaluation of TreadMarks running on Ultr...
Peter J. Keleher, Alan L. Cox, Sandhya Dwarkadas, ...
CEC
2010
IEEE
13 years 9 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...