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2.4 Please provide a <strong>brief, specific</strong> description(s) of the computational work for which you and/or your research group use IST-managed HPC {text box} (goes in 2.3) | 2.4 Please provide a <strong>brief, specific</strong> 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 software do you use in those areas | + | 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 <strong>public-access</strong> GPUs were available, would you use them | 2.5a If <strong>public-access</strong> GPUs were available, would you use them | ||
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</ul | </ul | ||
− | 2.6 If <strong>public-access</strong> GPUs were available, to what extent would that enhance your : | + | 2.6 If <strong>public-access</strong> GPUs were available, to what extent would that <strong>enhance</strong> your : |
<ul> | <ul> | ||
<li>Research</li> | <li>Research</li> |
Latest revision as of 17:31, 29 January 2021
ForPNSFCCStar 29Jan21-12:31
1. Preamble
This assessment gathers information for inclusion in an NJIT proposal to NSF 21-528 Campus Cyberinfrastructure (CC*) Program Area 4, "Campus Computing and the Computing Continuum".
The proposal will seek funding for public-access graphics processor unit (GPU) nodes. If funded, these nodes will be part of the Lochness.njit.edu cluster. Program Area 4 supports awards up to $400,000 for up to two years.
By participating, you will be providing data necessary for this proposal.
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
- 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
- Research
- Heavy
- As discussed ...
- Moderate
- Light
- None
- Don't know
- Teaching
- Heavy
- Moderate
- Light
- None
- Don't know
</ul
2.6 If public-access GPUs were available, to what extent would that enhance your :
2.7 If public-access GPUs were available, what is your estimate of your use of them for :
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}