Taskgraph mapping using a genetic algorithm: A comparison of
Taskgraph mapping using a genetic algorithm: A comparison of fitness functions ... mapping problem and compare the results from using four fitness functions ...
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Mapping and Scheduling by Genetic Algorithms - CiteSeerX
A massively parallel genetic algorithm for the mapping and scheduling ... This paper presents a heuristic for the mapping and scheduling problem using genetic ... After a discussion of the experimental results and a comparison ... If we look at the hardware, the counterpart of the task graph is the processor ... Fitness Function.
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A Novel Hybrid Algorithm for Task Graph Scheduling - arXiv.org
Keywords: Task Graph, Scheduling, Genetic Algorithm,. Learning Automata. ... population) are created randomly and the fitness function is evaluated for all of ... The most advantages of this algorithm compared with common ... and can be implemented using different methods. 3. LEARNING ... maps to an automaton. For this ...
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A genetic algorithm for multiprocessor scheduling - Parallel and
Simulation results comparing the proposed genetic algorithm, the list scheduling algorithm, and the optimal schedule using ... map the multiprocessor problem into a neural network model, asymmetric ... by a discussion on the ﬁtness function, the construction of three genetic ... example task graph TG using two processors.
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J. Parallel Distrib. Comput. Genetic algorithms for task scheduling
abstract. The scheduling and mapping of the precedence-constrained task graph to ... According to the first developed genetic algorithm, two fitness functions have been ... Our proposed algorithms have been implemented and evaluated using benchmarks. .... A comparison between roulette wheel and tournament selection.
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A Comparison of Clustering and Scheduling Techniques for - ECE
advance of the actual task to processor mapping and scheduling process. ... ing algorithms such as CFA (an evolutionary algorithm based clustering ... we are only interested in the latter context, where given a task graph and infinite number ..... build the clustering or clustered graph using the same clusterization function we ...
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Genetic Algorithms for Task Scheduling Problem - Springer
The scheduling and mapping of the precedence-constrained task graph to ... According to the first developed genetic algorithm, two fitness functions have ... Our proposed algorithms have been implemented and evaluated using benchmarks. .... Y.: Benchmarking and Comparison of the Task Graph Scheduling Algorithms.
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Evolutionary Algorithms for Allocating Data in Distributed Database
S. Hurley, “Taskgraph mapping using a genetic algorithm: A comparison of fitness functions,” Parallel Computing, vol. 19, pp. 1313–1317, 1993. 18.
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Mapping and Scheduling Heterogeneous Task Graphs using Genetic
Mapping and Scheduling Heterogeneous Task Graphs using Genetic. Algorithms . Harmel ... the function used for evaluating the ﬁtness of the encoded solutions ...
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Task Scheduling in Parallel Systems using Genetic Algorithm
defined as allocating a task graph in a multiprocessor system ... favourable mapping of the task and their sequence of execution and also search for ... Grid scheduling, namely Genetic Algorithm , Simulated. Annealing  .... compare it to other scheduling schemes for a computational grid. .... Selection of Fitness Function.
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An Efficient Task Scheduling of Multiprocessor using Genetic
Keywords: Multi processor, Genetic algorithm, Schedule, Task graph, Distribute system ... compared to the best processed method, the proposed algorithm can decrease Makespan of 10%. ... Adjust height function arranges tasks in all the possible ways. Using this ... It is the measure which decides the fitness of function .
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Task Graph Scheduling on Multiprocessor System using Genetic
Task Graph Scheduling on Multiprocessor System using Genetic Algorithm. Amit Bansal ... and after some stages, each chromosome maps to an automaton.
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A multiprocessor scheduling scheme using problem-space genetic
Our technique is based on problem-space genetic algorithms ... task graph onto a set of processors and ..... following cost-to-fitness mapping function was used:.
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An Efficient and Robust Genetic Algorithm for Multiprocessor - ijcte
can be stated as scheduling a task graph onto a multiprocessor system so that schedule ... To compare the performance of our ... Index Terms—Genetic algorithm, fitness function, ... of a task graph is done by mapping some of its task redundantly, which reduces ... GA2: Evaluation – evaluate each chromosome using fitness ...
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Exploring Task Mappings on Heterogeneous MPSoCs using a Bias
Jun 29, 2014 ... that Genetic Algorithms (GA) typically are a good choice to solve this problem when ... generate efficient mapping solutions, also in comparison to alternative .... The fitness function is defined for measuring the quality of solutions. ......  H. Orsila. Optimizing Algorithms for Task Graph Mapping on Multipro-.
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Optimizing Algorithms for Task Graph Mapping on - zakalwe.fi
ration, specifically the task mapping using Simulated Annealing (SA) with fully auto- ... Mapping and a Genetic Algorithm. SA+AT gives the best ..... Objective space measures define the objective function value f(x), which is the fitness of the system. ... the resulting application speedup are compared for each algorithm. . 12. 6.
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Implementation of Mapping Heuristic Genetic Algorithm - IJARCCE
Abstract- Mapping Heuristic APN Algorithm in which the list is ordered according to node priorities ... solving the static task scheduling using GAs in the ... compared with the interprocessor communication time. The node and edge weights are ... nodes in the task graph. .... The fitness function of GA is generally the objective.
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A Two-step Genetic Algorithm for Mapping Task Graphs to a
describe an efficient two-step genetic algorithm that has been used to build a tool for mapping an application, described by a parameterized task graph, on to a NoC ... themselves using asynchronous communication through ..... calculating the fitness function in the 1st .... 6) Comparison between the 9th and 2nd experiment.
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heuristic based task scheduling in multiprocessor - arXiv.org
From comparison it is found that this new heuristic based GA takes less computation ... Multiprocessor, task scheduling, heuristic, genetic algorithm. 1.
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Article (PDF, 1.66 MB) - Advances in Science and Technology
Mar 1, 2015 ... Keywords: distributed database, genetic algorithms, communication costs, GA, ... for fitness function; another parameter called ..... Hurley S., Taskgraph mapping using a genetic al- gorithm: A comparison of fitness functions.
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