Search Results - (( parallel optimization model algorithm ) OR ( parallel distribution model algorithm ))
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…The proposed technique has provided through four fundamental steps, including modelling of parallel applications, meta-heuristic optimization, partitioning, and parallel job scheduling. …”
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Thesis -
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Subjects:Conference paper -
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Eventually, the workflow is executed. The second algorithm is a variation in first algorithm in which data parallelism is introduced in each partition. …”
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Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…This paper presents a comprehensive study on the design optimization of a robotic gripper, focusing on both the gripper modeling and the optimization of its parallel mechanism structure. …”
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Parallel CFD Simulations of Multiphase Systems: Jet into a Cylindrical Bath and Rotary Drum on a Rectangular Bath.
Published 2001“…The same models considered for all the platforms to compare the parallel efficiency of CFD in those machines. …”
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Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm
Published 2022“…Our algorithm uses non-fitness evolutionary distributed parallelized adaptive large neighbourhood search (NEDPALNS). …”
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Final Year Project / Dissertation / Thesis -
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MEMPHA: Model of Exascale message-passing programs on heterogeneous architectures
Published 2020“…The mapping algorithm uses the model of the parallel application and maps its tasks to processors in a way to minimize the total execution time. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids.
Published 2009“…SA algorithm is integrated with DLT model and compared with the previous approaches. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids
Published 2008“…SA algorithm is integrated with DLT model and compared with the previous approaches. …”
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Dengue outbreak prediction: hybrid meta-heuristic model
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…The third stage integrates the proposed DLT based models with GA algorithm to solve the time consuming problem. …”
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Optimization of Workload Allocation Problem in a Network of Heterogeneous Computer Systems
Published 2005“…The performance measures, mean queue length and mean response time of the proposed scheme have practically shown improvement. The principle of optimization and GE distributional model are used to derive a new workload allocation model of single class jobs in a network of queueing system. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Therefore, the core classifier in the hyper-heuristic approach of Intrusion Detection System (IDS) is developed to the parallel structure NN. This enables more controllability of reaching optimal learning without falling into sub-optimality because of over-fitting or under-fitting. …”
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An efficient cache replacement algorithm for minimizing the error rate in L2-STT-MRAM caches
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Proceeding Paper -
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Development of appoinment scheduling agent using distributed constraint satisfaction (DisCS)
Published 2008“…A reservation environment typically refers to a parallel -machine with n jobs available for processing. …”
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Monograph -
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A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
Published 2016“…The performance parameters and properties of chordal rings have been researched extensively as models for parallel and distributed interconnection topology models since their founding in 1981. …”
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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. …”
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