(Enter summary)
Abstract: The MILAN project, a joint effort involving Arizona State
University and NewYork University, has produced and validated
fundamental techniques for the realization of efficient,
reliable, predictable virtual machines on top of metacomputing
environments that consist of an unreliable and dynamically
changing set of machines. In addition to the techniques,
the principal outcomes of the project include three parallel
programming systems---Calypso, Chime, and Charlotte---
which enable applications... (Update)
Context of citations to this paper: More
.... In the eld of high performance scienti c computing, applications that are based on processing a bag of tasks form a large domain [3, 4, 11]. Such applications are also referred to as iterative, grid and data parallel. Some examples are: Simulation, Image Processing,...
.... In the eld of high performance scienti c computing, applications that are based on processing a bag of tasks form a large domain [2, 3, 27]. These applications are also referred to as iterative, grid and data parallel. Some examples are: Simulation, Image Processing,...
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BibTeX entry: (Update)
A. Baratloo, P. Dasgupta, V. Karamcheti, and Z. M. Kedem. Metacomputing with milan. In Proceedings of International Parallel Processing Symposium (IPPS/SPDP), 1999. http://citeseer.ist.psu.edu/baratloo99metacomputing.html More
@inproceedings{ baratloo99metacomputing,
author = "Arash Baratloo and Partha Dasgupta and Vijay Karamcheti and Zvi M. Kedem",
title = "Metacomputing with {MILAN}",
booktitle = "Heterogeneous Computing Workshop",
pages = "169-183",
year = "1999",
url = "citeseer.ist.psu.edu/baratloo99metacomputing.html" }
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