3 edition of An intelligent allocation algorithm for parallel processing found in the catalog.
An intelligent allocation algorithm for parallel processing
by University of Alabama, College of Engineering, Bureau of Engineering Research, National Aeronautics and Space Administration, National Technical Information Service, distributor in Tuscaloosa, Ala, [Washington, D.C.], [Springfield, Va
Written in English
|Statement||by Chester C. Carroll, Abdollah Homaifar and Kishan G. Ananthram|
|Series||BER report -- no. 416-17, NASA contractor report -- NASA CR-182648|
|Contributions||Homaifar, Abdollah, Ananthram, Kishan G, United States. National Aeronautics and Space Administration|
|The Physical Object|
makespan on parallel processing machines using different scheduling algorithms is studied in this paper. A set of 50 independent tasks were scheduled on parallel processors in order to minimize schedule length using Integer Linear Programming, Shortest Processing Time, Long-est Processing Time, and Greedy Genetic ://#3_9Pgs_pdf. For allocating the resources MA executes a parallel resource co-allocation algorithm . The purpose of the algorithm is to minimize the overall scheduling length for a given set of applications
Resource allocation in heterogeneous parallel and distributed computing systems is the process of allocating user tasks to processing elements for execution such that some performance objective is Taheri J and Zomaya A A combined genetic-neural algorithm for mobility management Proceedings of the 20th international conference on Parallel and distributed processing, () Teixeira O, Teixeira A, de Brito F and de Oliveira R Game theory as a new paradigm for phenotype characterization of genetic algorithms Proceedings of the 8th annual
Based on this model, an intelligent resource allocation algorithm DDQN-RA based on the emerging DRL algorithm framework DDQN is designed to adaptively allocate network and computing resources. At the same time, the model integrates the FL framework with the mobile edge system to train DRL agents in a distributed :// To our knowledge, the maximum-scale MMSP with non-identical parallel units solved by intelligent algorithm contains only 24 orders, and the algorithms that have been used for it include GA and Line-up Competition Algorithm (LCA) (He and Hui, , Shi et al., ), but there are many larger-scale problems in fact. Therefore, developing an
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An intelligent allocation algorithm for parallel processing. The problem of allocating nodes of a program graph to processors in a parallel processing architecture is considered.
The algorithm Load stability and the optimization problem is important for efficient parallel processing computer. A smart task allocation algorithm that intelligently select the node status and startup strategies, the total load assigned to the appropriate node to enable communication and processing minimal overhead, load balancing, parallel processing system so that the overall performance of the best The four-volume set LNCS constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PPheld in Guangzhou, China, in November The full and 50 short papers presented were carefully reviewed and selected from numerous :// Get this from a library.
An intelligent allocation algorithm for parallel processing. [Chester C Carroll; Abdollah Homaifar; Kishan G Ananthram; United States. National Aeronautics and Space Administration.] In this paper, an adaptive intelligent task mapping together with a scheduling scheme based on a genetic algorithm is proposed to provide real-time guarantees.
This solution enables efficient parallel processing in a way that only possible node collaborations with cost-effective communications are :// The 12 revised full papers presented were carefully reviewed and revised for inclusion in the book. Also included is a detailed introduction surveying the state of the art in the area.
Among the topics covered are processor allocation, parallel scheduling, massively parallel processing, shared-memory architectures, gang scheduling, :// The two volume set LNCS and comprises the proceedings of the 12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PPas well as some workshop papers of the CDCN workshop which was held in conjunction with this :// In this paper, we develop a real-time adaptive task allocation algorithm based on parallel dynamic coalition in WSNs.
The algorithm gives a priority level to each task according to the idea of EDF. And the task with relatively higher priority will be scheduled :// 1. Introduction. Nowadays, energy consumption has become a critical issue in high performance distributed computing systems (HPDCSs).
Therefore, green computing attempts to minimize energy consumption, carbon footprint and CO 2 emissions in HPDCSs, including clusters, grids and clouds made up of a large number of parallel processors .
Recent studies suggest that nearly –2% of total This four volume set LNCS, and constitutes the refereed proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PPheld Wolf J, Dias D and Yu P () A Parallel Sort Merge Join Algorithm for Managing Data Skew, IEEE Transactions on Parallel and Distributed Systems,(), Online publication date: 1-Jan Abali B, özgü F and Bataineh A () Balanced Parallel Sort on Hypercube Multiprocessors, IEEE Transactions on Parallel and Distributed Systems Optimal Resource Allocation in Coordinated Multi-Cell Systems.
This is a code package is related to the follow research book: Emil Björnson, Eduard Jorswieck, “Optimal Resource Allocation in Coordinated Multi-Cell Systems,” Foundations and Trends in Communications and Information Theory, vol.
9, no. pp.The package contains Matlab implementations of many of the The temporal resource allocation is introduced and implemented in a single computer using the quasi-parallel time sharing algorithm for the solution of the zero/one knapsack problem. The mutation matrix M (t) is constructed using the locus statistics and the fitness distribution in a population At with N rows and L columns, where N is the For parallel programming in C++, we use a library, called PASL, that we have been developing over the past 5 implementation of the library uses advanced scheduling techniques to run parallel programs efficiently on modern multicores and provides a range of utilities for understanding the behavior of parallel ://~/ PDF | Resource allocation in heterogeneous parallel and distributed computing systems is the process of allocating user tasks to processing elements for | Find, read and cite all the research IEEE International Parallel & Distributed Processing Symposium, () A Parallel Algorithm for 2-Edge-Connectivity Augmentation of a Connected Graph with Multipartition Constraints.
First International Conference on Networking and Computing, Proceedings of the Third IEEE Symposium on Parallel and Distributed Processing, Bilinear modeling of delayed cooking by using genetic algorithm and robust control. Proceedings of the 3rd World Congress on Intelligent Control and Automation (:// A new parallel processing algorithm for solving string search problems is presented.
The proposed algorithm uses O (m × n) processors where n is the length of a text and m is the length of a User Tools. Cart. Sign In An efficient parallel algorithm is given for constructing the arrangement of n line segments in the plane, i.e., the planar graph determined by the segment endpoints and intersections.
This algorithm is efficient relative to three efficiency measures—it is an NC algorithm, it has a small time-processor product, and it is output-size ://.
International Conference on Robots & Intelligent System (ICRIS), Euro-Par Parallel Processing, () Efficient antenna allocation algorithms in millimetre wave wireless communications.
IET An effective approximation algorithm for the Malleable Parallel Task Scheduling problem. Journal of Parallel and Distributed This paper surveys recent progress in the development of parallel algorithms for solving sparse linear systems on computer architectures having Few coalition scheduling methods exist for multi-task allocation based on a fixed agent population.
In this paper, we propose an effective stability quantum particle swarm optimization (SQPSO) algorithm which includes high rewards obtaining, benefit dividing, coalition stability insuring, and a historical task mechanism for search ://