Difference between revisions of "ForPHPCMajorExpansion"

Revision as of 21:07, 1 September 2021

ForPHPCMajorExpansion 01Sep21-16:28

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

In this assessment, IST-managed high performance computing (HPC) resources refers to :

• Lochness cluster
• Kong cluster
• Stheno cluster
• Non-cluster machines: Antigua, Baozi, Cnrdp, Gorgon, Icl1, Inti, Jimmy, Louise, Phi, Silo100, Solardb, Thelma

2. Get the data

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)

2.5 For which of the areas you selected in 2.4 are you currently using GPUs, and what </strong>software</strong> do you use in those areas

2.5a If public-access GPUs were available, would you use them

Yes
• No
• Don't know

</ul

2.6 If public-access GPUs were available, to what extent would that enhance your :

• Research
• Large
• Permit larger versions of current models
• Permit model types not currently feasible
• Other {text box}
• Moderate
• Permit larger versions of current models
• Permit model types not currently feasible
• Other {text box}
• Small
• Permit larger versions of current models
• Permit model types not currently feasible
• Other {text box}
• No effect/NA
• Teaching
• Large
• Permit larger versions of current models
• Permit model types not currently feasible
• Other {text box}
• Moderate
• Permit larger versions of current models
• Permit model types not currently feasible
• Other {text box}
• Small
• Permit larger versions of current models
• Permit model types not currently feasible
• Other {text box}
• No effect/NA

2.7 If public-access GPUs were available, what is your estimate of your use of them for :

• Research
• Heavy
• As discussed ...
• Moderate
• Light
• None
• Don't know
• Teaching
• Heavy
• Moderate
• Light
• None
• Don't know

3. Detailed research/teaching GPU info

3.1 The success of this NSF grant proposal depends on providing solid justification for public-access GPUs in research and/or teaching.

Please describe the role of GPUs in your research and/or teaching, and how public-access GPUs would materially support that research and/or teaching {text box}

4. End game

4.1 Please provide any further comments {text box, optional}