Search Results - parallel computing ((growth algorithm) OR (path algorithm))*
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High performance visualization of human tumor growth software
Published 2008“…The implementation of parallel algorithm based on parallel computing system is used to visualize the growth of human tumour. …”
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The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The main objective of this study is to visualize the brain tumors’ growth in three-dimensional and implement the algorithm on distributed parallel computer systems. …”
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Solving traveling salesman problem on cluster compute nodes
Published 2009“…The sequential algorithm is then converted into a parallel algorithm by integrating it with the Message Passing Interface (MPI) libraries so that it can be executed on a cluster computer. …”
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Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz’s wave equation on a distributed parallel computing system. …”
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High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
Published 2007“…The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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High-Speed shortest path co-processor design
Published 2009“…Shortest path algorithms are significant in graph theory and have been applied in many applications such as transportation and networking. …”
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…The optimisation of tool path length based on ACO algorithm ascertained that the cutting tool remove the uncut line once and able to eliminate the uncut region in the shortest tool path length. …”
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Development of an automatics parallel parking system for nonholonomic mobile robot
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Parallel system for abnormal cell growth prediction based on fast numerical simulation
Published 2010“…The processing large sparse matrixes are based on multiprocessor computer systems for abnormal growth visualization. …”
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Minimizing machining airtime motion with an ant colony algorithm
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…Apache Spark is one of the most widely used large-scale data processing engines due to its speed, low latency in-memory computing, and powerful analytics. Therefore, we develop a Parallel Fuzzy C-Median Clustering Algorithm Using Spark for Big Data that can handle large datasets while maintaining high accuracy and scalability. …”
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Enhancing speed performance of the cryptographic algorithm based on the lucas sequence
Published 2003“…The improved algorithm is applied on the lab-PC for the sequential platform, and cluster-computing machine for the parallel platform, which lead to a substantial time reduction and an enhancement of the algorithm speed in both platforms.…”
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Early detection of breast cancer using wave elliptic equation with high performance computing
Published 2008“…The mathematical model of Helmholtz’s model is used to visualize the growth of breast cancer. Parallel Virtual Machine (PVM) is emphasized as communication platform in parallel computer system. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…The first step lies at the modelling of parallel applications running on heterogeneous parallel computers. …”
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Computationally efficient sequential learning algorithms for direct link resource-allocating networks
Published 2005“…Computationally efficient sequential learning algorithms are developed for direct-link resource-allocating networks (DRANs). …”
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Unconstraint assignment problem : a molecular computing approach
Published 2006“…Since DNA computing is very suitable for combinatorial problems, in thispaper, an idea on DNA-based computing algorithm for solving unconstraint assignment problem is proposed. …”
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