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Difference between revisions of "ForPHPCMajorExpansion"

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3.3 Do you compile, or re-compile, your applications prior to processing
 
3.3 Do you compile, or re-compile, your applications prior to processing
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<ul>
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<li>No</li>
 +
<li>Yes</li>
 +
<ul>
 +
<li>What compilers do you use</li>
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</ul?
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</ul>
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3.4 What is the maximum amount of resources you typically request to run your applications
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<ul>
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<li>Cores</li>
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<li>Memory</li>
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<li>Storage</li>
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</ul>

Revision as of 21:57, 8 September 2021

=ForPHPCMajorExpansion R08Sep21-15:15

1. Preamble

There will be a major, multi-million dollar upgrade to NJIT's high performance computing (HPC) infrastructure, scheculed to be on-line in February 2022.

This upgrade will include:

  • A significant increase in the number of public-access CPU nodes
  • A significant increase in the number of public-access GPU nodes
  • High-speed inteconnects (InfiniBand) to all new nodes
  • A parallel file system PFS with a capacity of at least a petabyte
  • Cluster management software
  • Support for the SLURM scheduler/resotce manager

The purpose of this form is to obtain information from researchers that will be used to determine the hardware specifications of this expansion.

By providing input, you will influence the final specifications for this expansion.

Defs

IST-managed high performance computing (HPC) clusters are :

  • Lochness
    • Public-access and privately-owned nodes, both CPU and GPU
  • Stheno
    • CPU and GPU nodws, ownwd by the Dept. of Mathematical Sciences>

2. Demographics

2.1 What is your NJIT position? {button}

  • Faculty
    • Tenured
    • Tenure-track
    • Non-tenure-track
  • Academic research staff {text box}
  • Postdoc

2.1.1 What is your department {dd menu}

Newark College of Engineering

  • Biomedical Engineering
  • Biological and Pharmaceutical Engineering
  • Civil and Environmental Engineering
  • Electrical and Computer Engineering
  • Engineering Technology
  • Mechanical and Industrial Engineering
  • Other {text box}

College of Science and Liberal Arts

  • Aerospace Studies (AFROTC)
  • Chemistry and Environmental Science
  • Humanities
  • Mathematical Sciences
  • Physics
  • Federated Department of Biological Sciences
  • Federated Department of History
  • Rutgers/NJIT Theatre Arts Program
  • Other {text box}

Ying Wu College of Computing

  • Computer Science
  • Informatics
  • Other {text box}

Martin Tuchman School of Management

College of Architecture and Design

  • NJ School of Architecture
  • School of Art and Design
  • Other {text box}<

2.2 For approximately how long have you and/or your research group been using IST-managed high performance computing (HPC) resources? {dd menu}

  • Less than 6 months
  • 6+ to 12 months
  • 1+ to 2 years
  • 2+ to 5 years
  • 5+ years
  • Don't know

2.3 What is the general classification of computations for which you and/or your research group use IST-managed HPC {check all that apply}

  • Bioinfomatics
  • Bioinformatics
  • Biophysics
  • Computational PDE
  • Computational biophysics
  • Computational chemistry
  • Computational fluid dynamics
  • Computational physics and chemistry
  • Condensed matter physics
  • Electromagnetism, Wave propagation
  • Granular science
  • Image forensics
  • Materials research
  • Monte Carlo
  • Neural networks, genetic algorithms
  • Software verification, static analysis
  • Statistical analysis
  • Steganalysis and image forensics
  • Transportation data analysis
  • Other {text box}

2.4 Please provide a brief, specific description(s) of the computational work for which you and/or your research group use IST-managed HPC {text box} (goes in 2.3)

3. Main

3.1 List the applications that you run on the Lochness and/or Stheno clusters

3.2 How often do you submit jobs to be run on the Lochness and/or Stheno clusters

  • Several times a day
  • Daily
  • Every few days
  • Weekly
  • Monthly

3.3 Do you compile, or re-compile, your applications prior to processing

  • No
  • Yes
    • What compilers do you use
    • </ul?

    3.4 What is the maximum amount of resources you typically request to run your applications

    • Cores
    • Memory
    • Storage