Supercomputer based laboratories and the evolution of the personal computer based laboratory

Joiner, David; Panoff, Robert M.; Gray, Paul A.; Murphy, Tom; Peck, Charlie

doi:10.1119/1.2839562

Cited by 2 publications

(2 citation statements)

References 26 publications

(23 reference statements)

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“…Possible solutions include (but aren't limited to): (a) networks of PCs, for example in campus PC labs, using software packages such as the Bootable Cluster CD [3,4,5]; (b) national production resources such as XSEDE; (c) parallel computing hardware dedicated to, or primarily intended for, teaching, such as LittleFe [5]; (d) virtual parallel resources implemented on nonparallel (or minimally parallel) hardware; (e) national virtualized resources such as FutureGrid [6,7].…”

Section: Introductionmentioning

confidence: 99%

Using a shared, remote cluster for teaching HPC

Carley

Sells

McKinney

et al. 2013

2013 IEEE International Conference on Cluster Computing (CLUSTER)

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Production clusters are a common environment for programming assignments in courses involving High Performance Computing, but they can present challenges, especially in the context of use by courses at institutions remote from these resources. In the context of the Oklahoma Cyberinfrastructure Initiative, the University of Oklahoma has been providing its centrally managed clusters for use by courses statewide. This paper explores mechanisms for using this shared, remote resource for teaching, and advocates in favor of such use.

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Section: Introductionmentioning

confidence: 99%

Using a shared, remote cluster for teaching HPC

Carley

Sells

McKinney

et al. 2013

2013 IEEE International Conference on Cluster Computing (CLUSTER)

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“…Later versions of the code included GalaxSee 2.0 for Windows, which kept the look and feel of the original, but added the ability to use a Barnes-Hut force calculation, and a Java based web-start version. GalaxSee-MPI was written to explore parallel computing, removing the GUI interface, as well as the Barnes-Hut force calculation, and allowing for MPI based parallelization of a direct force calculation [8]. GalaxSee-MPI was originally intended just as an exploration of parallelism, and lacked any features to control the input to the simulation, nor did it have any advanced features for visualization, limiting itself to a non-interactive top-downside-view image of the simulation.…”

Section: Galaxsee Revision Historymentioning

confidence: 99%

Scaling and Visualization of N-Body Gravitational Dynamics with GalaxSeeHPC

Walters¹,

Joiner²

2014

JOCSE

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In this paper, we present GalaxSeeHPC, a new cluster-enabled gravitational N-Body program designed for educational use, along with two potential student experiences that illustrate what students might be able to investigate at larger N than available with earlier versions of GalaxSee. GalaxSeeHPC adds additional force calculation algorithms and input options to the previous clusterenabled version. GalaxSeeHPC lessons have been developed focusing on two key studies, the structure of rotating galaxies and the large scale structure of the universe. At large N, visualizing the results becomes a significant challenge, and tools for visualization are presented. The canonical lesson in the original version of GalaxSee is the rotation and flattening of a cluster with angular momentum. Model discrepancies that are not obvious at the range of N available in previous versions become quite obvious at large N, and changes to the initial mass and velocity distribution can be seen more readily. For the large scale structure models, while basic clearing and clustering can be seen at around N=5,000, N=50,000 allows for a much clearer visualization of the filamentary structure at large scale, and N=500,000 allows for a more detailed geometry of the knots formed as the filaments combine to form superclusters. For the galactic dynamics simulations, we found that while a flattening due to overall angular momentum can be explored with N=1,000 or smaller, formation of spiral structure requires not only a larger number of objects, typically on the order of 10,000, but also modifications to the default initial mass and velocity distributions used in older versions of GalaxSee.

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Supercomputer based laboratories and the evolution of the personal computer based laboratory

Cited by 2 publications

References 26 publications

Using a shared, remote cluster for teaching HPC

Using a shared, remote cluster for teaching HPC

Scaling and Visualization of N-Body Gravitational Dynamics with GalaxSeeHPC

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