Anagha Krishna

dblp:393/9552 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
scientific workflow
0.812024
Towards Long-Term Scientific Model Sustainment at Sandia National Laboratories · ASE 2024
Software maintenance and evolution
software sustainability
0.812024
Towards Long-Term Scientific Model Sustainment at Sandia National Laboratories · ASE 2024

Methods — techniques the papers use, named apart from their topics

workflow management · 1.5
YearPublicationVenuePosition
2024 Towards Long-Term Scientific Model Sustainment at Sandia National Laboratories
abstract
Scientific modeling and simulation software is ubiquitous at Sandia National Laboratories and is integral to providing empirical justification to critical mission decisions. Models are increasingly being expressed as workflows to simplify the many steps needed in scientific analyses but keeping these models and workflows alive for the decades-long timescales needed by Sandia remains a struggle. Additionally, the manual use and (lack of) maintenance of these models creates significant risks for duplicated work and model capability loss over time from changing personnel and computing environments. To address these issues, we are building the Engineering Common Modeling Framework (ECMF), a platform for scientific model sustainment at Sandia. ECMF enables the automatic evaluation of models over time and will ensure that models created at Sandia are discoverable and ready to be revisited, extended, and reused. In this paper, we report our current and planned capabilities as well as lessons learned from our framework development process.
Christian Gilbertson, Reed Milewicz, Eric Berquist, Aaron Brundage, John Engelmann, Brian Evans, Nicholas Francis, Ernest Friedman-Hill, Samuel Grayson, Evan Harvey, Eric Ho, Edward Hoffman, Kevin Irick, Anagha Krishna, Aaron Moreno, Joshua B. Teves
ASE14