FOA Title: 
Request for Information (RFI) on Science Drivers Requiring Capable Exascale High Performance Computing
Grant Type: 
NOT-GM-15-122
Primary IC: 
NIGMS
Release Date: 
Sep 15 2015
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Request Information RFI) Science Drivers Requiring Capable Exascale High Performance Computing Notice Number: NOT-GM-15-122 Key Dates Release Date:   September 15, 2015 Related Announcements NOT-GM-15-123 Issued National Institute General Medical Sciences NIGMS) Purpose is multi-agency request information identify scientific research topics applications need High Performance Computing HPC) capabilities extend 100 times beyond today’s performance scientific applications. Currently, computational modeling, simulation, well data assimilation data analytics used an increasing number researchers answer complex multispatial, multiphysics scientific questions more realism. the scientific discovery horizon expands as advances high performance computing become central scientific workflows, sustained petascale application performance be insufficient meet needs. addition, HPC expanding traditional numerically oriented computation also include large-scale analytics e.g., Bayesian approaches model refinement, large-scale image analysis, machine learning, decision support, quantifying uncertainty multimodal multi spatial analyses). Architectures technologies used modeling simulation currently differ those used data integration analytics, are increasingly converging. extreme computing ecosystem must therefore accommodate broad spectrum growing data science activities. Background White House Executive Order, July 29, 2015, establishes National Strategic Computing Initiative NSCI) a whole-of-government effort designed create cohesive, multi-agency strategic vision Federal investment strategy, executed collaboration industry academia, maximize benefits HPC the United States. Department Energy DOE), National Science Foundation NSF), the Department Defense DOD) the lead agencies this effort support significantly advanced HPC ecosystem within next decade.   of objectives the initiative to deliver capable Exascale” computing capability delivers 100 times today's application performance. is request information NSF, DOE, NIH community input identifying scientific research would benefit a greatly enhanced new generation HPC far beyond can done using current technologies architectures. information be used assist agencies construct roadmap, build exascale-capable ecosystem required support scientific research, inform research, engineering development process. is likely a range advanced capabilities need be developed respond the varied computing needs across science disciplines. seek responses applications subfields life e.g., biological, social, health biomedical) sciences, mathematical physical sciences, geosciences, energy science, engineering research.  seek only traditional areas numerical intensity such simulations nuclear physics, biomolecular physics, weather climate modeling, materials science, also any areas rely deriving fundamental understanding large scale analytics would require 100-fold increase over today’s application performance. Information Requested respect your field expertise traditional non-traditional research areas applications HPC, agencies request input/feedback. comments include are limited the following areas concern: specific scientific research challenges would need projected 100-fold increase application performance over is possible today.  potential impact the research the scientific community, national economy, society.   specific limitations/barriers existing HPC systems must overcome perform studies this area.  comment also include level performance current architectures, the projected increase performance is needed future architectures. Any related research areas foresee would benefit this level augmented computational capability. Identification any barriers addition computational capability impact proposed research also considered. Important computational technical parameters the problem you expect to in 10 years 2025).  addition any specialized unique computational capabilities are required and/or need be scaled for addressing scientific problem, e.g., the areas computing architectures, systems software hardware, software applications, algorithm development, communications, networking. Alternative models deployment resource accessibility arising of exascale computing. Improvements scientific workflow well particular requirements may needed specific domains. Capabilities needed the end-to-end system, including data requirements such data analytics visualization tools, shared data capabilities, data services includes databases, portals data transfer tools/nodes. Foundational issues need be addressed such training, workforce development collaborative environments. areas relevance the Agencies consider. Submitting Response responses must submitted NIGMS_exascale@nigms.nih.gov October 16, 2015. comments must submitted via E-mail text as attached electronic document.  Microsoft documents preferred.   Please try limit response two pages total. RFI for planning purposes only should be construed a solicitation applications an obligation the part the government. government not pay the preparation any information submitted for government’s of information. agencies use information submitted response this RFI their discretion will provide comments any responder's submission. Responses the RFI be reflected future funding opportunity announcements. information provided be analyzed, appear reports, may shared publicly agency websites. Respondents advised the government under obligation acknowledge receipt the information provide feedback respondents respect any information submitted. proprietary, classified, confidential, sensitive information should included your response. government reserves right use any non-proprietary technical information any resultant solicitation(s), policies procedures. Inquiries Please direct inquiries to: Susan Gregurick, Ph.D. National Institute General Medical Sciences NIGMS) National Institutes Health Telephone: 301-451-6446 Email: susan.gregurick@nigms.nih.gov William L. Miller, Ph.D. Division Advanced Cyberinfrastructure Directorate Computer Information Science Engineering National Science Foundation Telephone: 703-292-7886 Email: WLMiller@nsf.gov Barbara Helland Advanced Scientific Computing Research ASCR) Department Energy Telephone: 301-903-9958 Email: barbara.helland@science.doe.gov