Results 251 to 260 of about 1,612,633 (296)

Distributed Computing on Distributed Memory

2018
Distributed computation is formalized in several description languages for computation, as e.g. Unified Modeling Language (UML), Specification and Description Language (SDL), and Concurrent Abstract State Machines (CASM). All these languages focus on the distribution of computation, which is somewhat the same as concurrent computation.
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Distributed computation of the mode

Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing, 2008
This paper studies the problem of computing the most frequent element (the mode) by means of a distributed algorithm where the elements are located at the nodes of a network. Let k denote the number of distinct elements and further let mi be the number of occurrences of the element ei in the ordered list of occurrences m1m2≥ ... ≥ mk.
Fabian Kuhn, Thomas Locher, Stefan Schmid 0001   +2 more
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Resilient Distributed Computing

IEEE Transactions on Software Engineering, 1984
A control abstraction called atomic action is a powerful general mechanism for ensuring consistent behavior of a system in spite of failures of individual computations running in the system, and in spite of system crashes. However, because of the ``all-or-nothing'' property of atomic actions, an important amount of work might be abandoned needlessly ...
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Dissecting Distributed Computations

2003
Beginning with the earliest assembly languages, programming even simple centralised and sequential applications was very cumbersome. Major advances in computing came with the adoption of programming languages that promoted the use of machine independent data abstractions like sets, arrays, and records, as well as control abstractions like while, ifand ...
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Distributed computer conferencing

Computer Networks and ISDN Systems, 1987
Abstract By computer conferencing is meant a kind of computer-mediated message system with special kinds of advanced support for group communication. By the word “bulletin board system” is known systems with similar capabilities. Computer conference systems usually also provide more advanced database support for messaging than other message systems.
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Computing with Distributed Resources

2003
The metaphor “Network is the Computer” has received much attention lately. It is easy/hard to claim such an equivalence since neither term is defined precisely. It is easy to establish an equivalence by ignoring several key aspects of the network, such as the costs of remote data access, failures of network nodes and communication links, and the ...
Young-ri Choi, Siddhartha Rai, Vinay Sampath Kumar, Jayadev Misra, Harrick M. Vin   +4 more
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Mastering Distributed Computing

IEEE Distributed Systems Online, 2005
A review of "Distributed Computing: Fundamentals, Simulations, and Advanced Topics, 2nd ed." by Hagit Attiya and Jennifer Welch.
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Using computer labs for distributed computing

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, 2011
PCs in computing labs at institution of higher learning are often if not always underutilized. These PCs are usually not used at night and early morning (i.e. between 10pm–8am), during semester breaks, weekends and during final examinations. At other times most of the lab PCs are not utilized up to the available capacity. This underutilization scenario
Elankovan Sundararajan, Tan Bing Yean, Mahathir Rahmani   +2 more
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Distributed Symbolic Computations

Sixth International Symposium on Parallel and Distributed Computing (ISPDC'07), 2007
Symbolic computing is one of fastest growing areas of scientific computing. An overview of the state-of-the-art in symbolic computations on distributed architectures, in particular Web and Grid architectures, is presented. The background information, including typical application areas, is followed by a list of past and on-going projects involving ...
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Supercomputers and distributed computing

Proceedings of the 1985 ACM thirteenth annual conference on Computer Science - CSC '85, 1985
Multiprocessor supercomputers and distributed systems share many common properties in a logical sense. The physical implementation of these systems may be quite different, particularly with respect to timing considerations. Some of the recent work on supercomputer hardware and software may be of use in the distributed processing community.
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