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A Case Study of Teaching Parallel and Distributed Computing Topics on a Computer Cluster
Journal of Cases on Information Technology, 2014This paper presents the establishment of cluster computing lab at a minority serving institution that aims to provide computing resources to support undergraduate computer science curriculum. The computing resources of the cluster are managed by a job distribution environment that allows the users to upload, compile, and run their jobs.
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Teaching Parallel and Distributed Computing with MPI on Raspberry Pi Clusters
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018CS2013 brings parallel and distributed computing (PDC) into the CS curricular mainstream. The Message Passing Interface (MPI) is a platform independent, industry-standard library for parallel and distributed computing. The MPI standard includes support for C, C++, and Fortran; third parties have created implementations for Python and Java.
Richard A. Brown +3 more
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Distributed parallel file system for I/O intensive parallel computing on clusters
(ICEEE). 1st International Conference on Electrical and Electronics Engineering, 2004., 2005Local area networks are now widely used to run parallel applications. They are particularly suitable to run I/O intensive applications, because each node usually includes disk space. However, programming these applications is rather difficult. The programmer must partition data into disk nudes and, at run time, transfer data from disk space into the ...
S. Dominguez-Dominguez +1 more
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Heterogeneous Clustering Computing Based on Parallel Task Distribution
2012To improve the computing efficiency of heterogeneous cluster, this paper presents a parallel task distribution approach for heterogeneous cluster. According to the computing power of each node in the cluster, the paper computes the weight of each node dynamically from the perspective of the predicated evaluation of system pressure.
Yi Lv, Wenshi Chen
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2009 WRI World Congress on Computer Science and Information Engineering, 2009
This paper presents alternatives and performance results obtained by analyzing parallelization on a cluster of multicore nodes. The ultimate goal is to show if both shared and distributed memory parallel processing models need to be taken into account independently, or if one affects the other and both must be considered simultaneosly.
Fernando Tinetti, Gustavo Wolfmann
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This paper presents alternatives and performance results obtained by analyzing parallelization on a cluster of multicore nodes. The ultimate goal is to show if both shared and distributed memory parallel processing models need to be taken into account independently, or if one affects the other and both must be considered simultaneosly.
Fernando Tinetti, Gustavo Wolfmann
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Cluster, Grid, Cloud and Parallel Distributed Computing: An Overview with Comparison
International Journal of Applied Research on Information Technology and Computing, 2017The emergence of cloud computing has a significant impact on the new technology trends (broadband internet, fast connection and virtualisation) in the world of Information Technology and has become the backbone for the developing network technologies.
Sarvesh Kumar Dubey, Virendra Upadhyay
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Space-Distributed Multi-Cluster Computer System for Training in Parallel Computational Technologies
International Workshops and Tutorials on Electron Devices and Materials, 2006Cluster computer systems have obtained wide spread occurrence. Nowadays increasing necessity of training high qualified specialists in parallel computational technologies is felt. The article shows the architecture of the space-distributed cluster computer system and explains the advantages of using it in Siberian State University for ...
Viktor Khoroshevsky +3 more
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2020 IEEE International Conference on Electro Information Technology (EIT), 2020
This paper introduces a simple method of building a prototype cluster of the Raspberry Pi. The Pi cluster is a powerful-low-cost tool for teaching the complex concepts of parallel and distributed computing to undergraduate E&CS students. The performance of the presented Pi cluster is assessed using two different applications of face recognition and ...
Heramb Penyala +2 more
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This paper introduces a simple method of building a prototype cluster of the Raspberry Pi. The Pi cluster is a powerful-low-cost tool for teaching the complex concepts of parallel and distributed computing to undergraduate E&CS students. The performance of the presented Pi cluster is assessed using two different applications of face recognition and ...
Heramb Penyala +2 more
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Parallel Large Scale High Accuracy Navier-Stokes Computations on Distributed Memory Clusters
The Journal of Supercomputing, 2004We present a highly scalable parallelization of a high-accuracy 3D serial multiblock Navier-Stokes solver. The code solves the full Navier-Stokes equations and is capable of performing large-scale computations for practical configurations in an industrial enviroment.
S. Peigin +3 more
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Distributed-Parallel Road Traffic Simulator for Clusters of Multi-core Computers
2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications, 2012This paper deals with road traffic simulation performed on a cluster of computers with multi-core processors. Two versions of the simulation are compared -- the distributed version and the parallel/distributed version. The distributed version utilizes a number of single threaded simulation processes.
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