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phase2: Full-State Vector Simulation of Quantum Time Evolution at Scale
Miller M+7 more
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Computability in distributed computing [PDF]
What can and cannot be computed in a distributed system is a complex function of the system's communication model, timing model, and failure model. This tutorial surveys some important results about computability in the canonical distributed system model, where processes execute asynchronously, they communicate by reading and writing shared memory, and
Sergio Rajsbaum+2 more
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2019 14th Iberian Conference on Information Systems and Technologies (CISTI), 2019
This study is based on a concrete problem in a fertilizer factory about the estimation of process parameters: to calculate the mean and standard deviation from weights (sums only)of loads of unequal (known)number of bags (“equal” case being trivial). With many distribution depots., the data for each depot must be collected for processing.
Rui Santos Cruz, Miguel Casquilho
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This study is based on a concrete problem in a fertilizer factory about the estimation of process parameters: to calculate the mean and standard deviation from weights (sums only)of loads of unequal (known)number of bags (“equal” case being trivial). With many distribution depots., the data for each depot must be collected for processing.
Rui Santos Cruz, Miguel Casquilho
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Distributed Cloud Computing and Distributed Parallel Computing: A Review [PDF]
In this paper, we present a discussion panel of two of the hottest topics in this area namely distributed parallel processing and distributed cloud computing. Various aspects have been discussed in this review paper such as concentrating on whether these topics are discussed simultaneously in any previous works. Other aspects that have been reviewed in
Karwan Jacksi+3 more
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Computing with distributed chaos
Physical Review E, 1999We describe and discuss in detail some recent results by Sinha and Ditto [Phys. Rev. Lett. 81, 2156 (1998)] demonstrating the capacity of a lattice of threshold coupled chaotic maps to perform computations. Such systems are shown to emulate logic gates, encode numbers, and perform specific arithmetic operations, such as addition and multiplication, as ...
William L. Ditto, Sudeshna Sinha
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International Journal of Physical Distribution, 1972
The paper makes a distinction between management tasks which are associated with day‐to‐day operations in the distribution field and tasks which can be grouped under the title of planning and control. The first are concerned with tactical problems, usually on a short time scale, the fatter concentrate on strategy.
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The paper makes a distinction between management tasks which are associated with day‐to‐day operations in the distribution field and tasks which can be grouped under the title of planning and control. The first are concerned with tactical problems, usually on a short time scale, the fatter concentrate on strategy.
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Distributed computing column 47 [PDF]
What can and cannot be computed in a distributed system is a complex function of the system’s communication model, timing model, and failure model. This tutorial surveys some important results about computability in the canonical distributed system model, where processes execute asynchronously, they communicate by reading and writing shared memory, and
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Proceedings of the 1992 ACM annual conference on Communications - CSC '92, 1992
A distributed computing system consists of a collection autonomous computers connected by a communication network. The motivation for such a distributed system includes resource and load sharing, reduced costs in computation and communication, higher performance and throughput, and increased reliability and availability.
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A distributed computing system consists of a collection autonomous computers connected by a communication network. The motivation for such a distributed system includes resource and load sharing, reduced costs in computation and communication, higher performance and throughput, and increased reliability and availability.
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Distributed control and distributed computing
ACM SIGAPP Applied Computing Review, 1999Distributed control algorithms strive to achieve coordination between physically distributed decision-makers and controllers in order to realize some desired behavior of a large-scale system in a fast, stable and accurate manner. However, these methods almost invariably make idealization assumptions concerning the reliability and ...
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