Resilient Extreme Scale Solvers (RX Solvers) | Apply Online

Opportunity Summary:

The Resilient Extreme Scale Solvers (RX Solvers) funding opportunity (DE-FOA-0000742) was a discretionary grant solicitation issued by the U.S. Department of Energy (DOE) Office of Science, specifically the Advanced Scientific Computing Research (ASCR) program. Its central aim was to support basic research that pushes forward the science and practical implementation of numerical algorithms that can scale efficiently and remain reliable on the next generation of supercomputers anticipated to arrive over the following 5 to 10 years. In plain terms, the DOE was looking for research that helps scientific simulation and modeling continue to work well as computing systems grow dramatically in size and complexity, including the inevitable increase in faults, errors, and disruptions that come with extreme-scale machines.

A key theme of the announcement is “resilience” in extreme-scale solvers. Extreme-scale numerical solvers are the mathematical and computational methods used to solve large systems of equations underlying major scientific applications (for example, climate and weather models, combustion, materials science, subsurface flow, plasma physics, and other DOE-relevant simulations). As supercomputers increase in node counts and concurrency, systems become more prone to hardware failures, soft errors, network issues, performance variability, and other reliability challenges. The solicitation therefore emphasized solver and algorithm designs that can tolerate and recover from such issues while still delivering accurate, scalable results. The intent was not simply incremental optimization, but demonstrable advances in algorithmic approaches that would form a foundation for extreme-scale scientific computing.

The opportunity fell under the Office of Science Financial Assistance Program (CFDA 81.049) and was categorized as Science and Technology and other Research and Development. It used the grant funding instrument. No cost sharing or matching requirement was specified, meaning applicants were not required to provide non-federal cost share as a condition of eligibility under the FOA’s stated metadata.

Eligibility was broadly “unrestricted” among domestic entities, with explicit exclusions. In general, all types of U.S.-based entities could apply except: other federal agencies; Federally Funded Research and Development Center (FFRDC) contractors (as restricted by the FOA); and 501(c)(4) nonprofit organizations that engaged in lobbying activities after December 31, 1995. This structure is typical of DOE Office of Science financial assistance opportunities, which aim to attract proposals from universities, national laboratory-affiliated organizations where permitted, nonprofits (subject to the stated limits), and private-sector entities, provided they meet the domestic eligibility rules and are not in excluded categories.

In terms of timing and administrative details, the FOA was posted and created on June 8, 2012, with an original and current closing date of August 13, 2012, and an archive date of November 13, 2012. The funding amount fields in the provided record (estimated total funding, award ceiling, award floor) are listed as 0, which typically indicates that the public summary record did not specify those figures in that particular data extract, rather than implying that no awards would be made. Prospective applicants at the time would have needed to consult the full announcement on FedConnect for complete requirements, scope, and any budget guidance.

For applicant support and questions, the technical and scientific program contact listed was Karen I. Pao (301-903-5384, karen.pao@science.doe.gov). The announcement also noted that if an applicant had difficulty accessing the full solicitation electronically, they should contact the listed program contact, reinforcing that the detailed requirements and submission instructions were contained in the full electronic FOA package.

Overall, RX Solvers targeted forward-looking, foundational research to ensure that the numerical methods powering major scientific simulations remain robust and effective on emerging extreme-scale architectures. The solicitation’s emphasis on scalable and resilient algorithms reflects a broader DOE priority: enabling scientific discovery by ensuring that advances in hardware capability can be translated into dependable, high-performance computational science workflows, even as the risk of faults and variability rises with system scale.

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