Distributed Resilient Systems
The computational workflows associated with modern science are becoming increasingly complex, often processing an astounding amount of data generated by geographically-distributed instruments.
The data is analyzed using a variety of local and remote compute resources and integrated with simulations and artificial intelligence (AI)--enhanced models to both direct the ongoing experiments and inform scientific progress.
The future continuation of this trend is outlined by the 2022 report on Envisioning Science in 2050 [1].Pursuing innovative research directions in techniques for advanced middleware and operating and runtime systems is critical to address the unprecedented challenges in implementing future workflows.
These research directions may involve, but are not limited to, coordinating work on:
a) billions of threads of execution on a supercomputer; b) several geographically-separated supercomputers; c) advanced experimental systems which produce hundreds of petabytes of data each day; and/or d), billions of distributed sensors monitoring the climate or other systems of interest.
Recognizing that in systems of this size and complexity sporadic failures of individual components are inevitable, scientific workflows and their supporting middleware and system software must be designed with resilience in mind.
The data is analyzed using a variety of local and remote compute resources and integrated with simulations and artificial intelligence (AI)--enhanced models to both direct the ongoing experiments and inform scientific progress.
The future continuation of this trend is outlined by the 2022 report on Envisioning Science in 2050 [1].Pursuing innovative research directions in techniques for advanced middleware and operating and runtime systems is critical to address the unprecedented challenges in implementing future workflows.
These research directions may involve, but are not limited to, coordinating work on:
a) billions of threads of execution on a supercomputer; b) several geographically-separated supercomputers; c) advanced experimental systems which produce hundreds of petabytes of data each day; and/or d), billions of distributed sensors monitoring the climate or other systems of interest.
Recognizing that in systems of this size and complexity sporadic failures of individual components are inevitable, scientific workflows and their supporting middleware and system software must be designed with resilience in mind.
Obtain Full Opportunity Text:
EERE Funding Opportunity Exchange
Additional Information of Eligibility:
All types of applicants are eligible to apply, except nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.
Federally affiliated entities must adhere to the eligibility standards below: 1.
DOE/NNSA National Laboratories DOE/NNSA National Laboratories are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA and may be proposed as subrecipients under another organization’s application.
If recommended for funding as a lead applicant, funding will be provided through the DOE Field-Work Proposal System and work will be conducted under the laboratory’s contract with DOE.
No administrative provisions of this FOA will apply to the laboratory or any laboratory subcontractor.
If recommended for funding as a proposed subrecipient, the value of the proposed subaward will be removed from the prime applicant’s award and will be provided to the laboratory through the DOE Field-Work Proposal System and work will be conducted under the laboratory’s contract with DOE.
Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA.
2.
Non-DOE/NNSA FFRDCs Non-DOE/NNSA FFRDCs are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA and may be proposed as subrecipients under another organization’s application.
If recommended for funding as a lead applicant, funding will be provided through an interagency agreement Award to the FFRDC’s sponsoring Federal Agency.
If recommended for funding as a proposed subrecipient, the value of the proposed subaward may be removed from the prime applicant’s award and may be provided through an interagency agreement to the FFRDC’s sponsoring Federal Agency.
Additional instructions for securing authorization from the cognizant Contracting Officer are found in Section VIII of this FOA.
3.
Other Federal Agencies Other Federal Agencies are eligible to submit applications (either as a lead organization or as a team member in a multi-institutional team) under this FOA and may be proposed as subrecipients under another organization’s application.
If recommended for funding as a lead applicant, funding will be provided through an interagency agreement.
If recommended for funding as a proposed subrecipient, the value of the proposed subaward may be removed from the prime applicant’s award and may be provided through an interagency agreement.
Additional instructions for providing statutory authorization are found in Section VIII of this FOA.
Full Opportunity Web Address:
https://eere-exchange.energy.gov
Contact:
Agency Email Description:
SC.GrantsandContracts@science.doe.gov
Agency Email:
Date Posted:
2022-12-14
Application Due Date:
Archive Date:
2023-04-29
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