Open AccessJournal Article
High Performance Computing Clusters
TL;DR: This paper consist of mechanism required for the creation of a 96 node single cluster of HPC systems administration and parallel programming.
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Abstract: A computer cluster is a group of internconnected computers which are connected to form a single computer. Interconnections between computers in a cluster are made through local area networks. Problems regarding computing are solved by using high performance computing(HPC) which is an amalgamation between super computers and computing clusters.HPC combines of systems administration and parallel programming into a combination of computer architecture, system software, programming languages, algorithms and computational techniques. This paper consist of mechanism required for the creation of a 96 node single cluster.
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Citations
Data driven high resolution modeling and spatial analyses of the COVID-19 pandemic in Germany.
TL;DR: In this paper, a modified SEIRD-class compartment model is proposed to model the SARS-CoV-2 virus at district level by time varying contact rates, and the model can successfully fit to the COVID-19 cases in German districts, states, and also nationwide.
Managing the academic data lifecycle: A case study of HPCC
Michael E. Payne,Linh B. Ngo,Flavio Villanustre,Amy Apon +3 more
- 01 Oct 2014
TL;DR: The authors introduce the High Performance Computing Cluster (HPCC) as a platform to streamline the process of ingesting, curating, integrating and transforming scholarly data from multiple sources and in varying formats.
5
Regression testing of GPU/MIC systems for HPCC
Hassan Reza,Michael Aguilar,Sara Faraji Jalal +2 more
- 16 May 2015
TL;DR: This paper presents a case-study to perform regression testing using Equivalence Class Partitioning (ECP) and Boundary Value testing techniques to test HPCCs configured of heterogeneous computing nodes.
4
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VMD: Visual molecular dynamics
TL;DR: VMD is a molecular graphics program designed for the display and analysis of molecular assemblies, in particular biopolymers such as proteins and nucleic acids, which can simultaneously display any number of structures using a wide variety of rendering styles and coloring methods.
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A Large-Scale Study of Failures in High-Performance Computing Systems
Bianca Schroeder,Garth A. Gibson +1 more
TL;DR: Analysis of failure data collected at two large high-performance computing sites finds that average failure rates differ wildly across systems, ranging from 20-1000 failures per year, and that time between failures is modeled well by a Weibull distribution with decreasing hazard rate.
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A large-scale study of failures in high-performance computing systems
Bianca Schroeder,Garth A. Gibson +1 more
- 25 Jun 2006
TL;DR: Analysis of failure data collected at two large high-performance computing sites finds that average failure rates differ wildly across systems, ranging from 20-1000 failures per year, and that time between failures is modeled well by a Weibull distribution with decreasing hazard rate.
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GPU Cluster for High Performance Computing
Zhe Fan,Feng Qiu,Arie E. Kaufman,Suzanne Yoakum-Stover +3 more
- 06 Nov 2004
TL;DR: A parallel flow simulation using the lattice Boltzmann model (LBM) on a GPU cluster and the dispersion of airborne contaminants in the Times Square area of New York City are simulated.
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