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1
Parallel implementation on improved error signal of backpropagation algorithm
Published 2001“…The experiments are implemented using the Sequent Symmetry SE30 parallel machine. …”
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2
High performance hierarchical torus network under matrix transpose traffic patterns
Published 2004“…In this paper, we present a deadlock-free routing algorithm for the HTN using virtual channels and evaluate the network’s dynamic communication performance under matrix transpose traffic, using the proposed routing algorithm. …”
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Proceeding Paper -
3
Enhancement of parallel thinning algorithm for handwritten characters using neural network
Published 2005“…Thus, this project presents a framework for the implementation of a multilayer perceptron neural network with backpropagation algorithm, in the Parker thinning algorithm in order to produce a fast fully parallel thinning algorithm. …”
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4
Enhanced Storage Mechanism for Secured Parallel Network File System
Published 2018“…The proposed techniques resulted synchronous LEASE file locking, capturing of state of locks and layouts, Kerberos secured the pNFS locks and layouts on storage, new algorithm enabled the scalable data compression using data block size compression algorithm and better dynamic data protection using RAID.…”
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5
Parallel implementation on improved error signal of backpropagation algorithm
Published 2002“…Further study on the improved BP algorithm is carried out on many processors, which is implemented using the Sequent Symmetry SE30 machine. …”
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6
Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…The performance tests are also conducted to assess whether each algorithm can detect most of the true anomalies. The data is supplied using IoT devices, and benchmark datasets are also presented to test the algorithm's performance.…”
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7
Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…To illustrate that, the DATPG algorithm for digital combinational circuit using VHDL language is designed to generate the test patterns. …”
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8
Dynamic communication performance of the TESH network under nonuniform traffic patterns
Published 2009“…In this paper, we evaluate the dynamic communication performance of the TESH network using dimension order routing algorithm under various nonuniform traffic patterns. …”
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Dynamic communication performance of a TESH network under the nonuniform traffic patterns
Published 2008“…In this paper, we present a deadlock-free routing algorithm for the TESH network using 2 virtual channels - 2 being the minimum number for dimension-order routing - and evaluate the network's dynamic communication performance under various nonuniform traffic patterns, using the proposed routing algorithm. …”
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10
Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
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Dynamic communication performance of a hierarchical torus network under non-uniform traffic patterns
Published 2004“…In this paper, we present a deadlock-free routing algorithm for the HTN using 3 virtual channels and evaluate the network's dynamic communication performance under three non-uniform traffic patterns, using the proposed routing algorithm. …”
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12
TTN: a high performance hierarchical interconnection network for massively parallel computers
Published 2009“…We also present a deadlock-free routing algorithm for the TTN using four virtual channels and evaluate the network's dynamic communication performance using the proposed routing algorithm under uniform and various non-uniform traffic patterns. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…These complex systems have designed to solve various types of problems from different areas, resulting in high-demanding Heterogeneous Parallel Applications (HPAs). HPAs use parallel processors and assist in parallel execution of tasks with complex interdependency between data and operations. …”
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GPU-based odd and even hybrid string matching algorithm
Published 2016“…String matching is considered as one of the fundamental problems in computer science.Many computer applications provide the string matching utility for their users, and how fast one or more occurrences of a given pattern can be found in a text plays a prominent role in their user satisfaction.Although numerous algorithms and methods are available to solve the string matching problem, the remarkable increase in the amount of data which is produced and stored by modern computational devices demands researchers to find much more efficient ways for dealing with this issue.In this research, the Odd and Even (OE) hybrid string matching algorithm is redesigned to be executed on the Graphics Processing Unit (GPU), which can be utilized to reduce the burden of compute-intensive operations from the Central Processing Unit (CPU).In fact, capabilities of the GPU as a massively parallel processor are employed to enhance the performance of the existing hybrid string matching algorithms.Different types of data are used to evaluate the impact of parallelization and implementation of both algorithms on the GPU. …”
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16
Efficient hardware design for palm-dorsa vein image enhancement
Published 2018“…Vein biometric system uses the pattern of veins in the human body as a unique identification. …”
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17
Area-Based Concentration Measurement Using Optical Tomography Technique For Various Flow Patterns
Published 2005“…The Main Purpose Of This Paper Is To Investigate Various Flow Patterns Using Optical Tomography. The Optical Tomography Sensor In The Measurement System Is Constructed By Using Four Parallel Beam Projections Using Infrared Light Source In 85 Mm Inner Diameter Pipeline. …”
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Parallel Diagonally Implicit Runge-Kutta Methods For Solving Ordinary Differential Equations
Published 2009“…Three large scales of stiff ODEs are used to measure the parallel performances of the new embedded methods. …”
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20
Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. The algorithm is tested using small and big dataset. …”
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