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L. McInnes

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Case report Open access Aug 2026

Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science

This report synthesizes insights from the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing into eight priorities for community action spanning shared research infrastructure, trust and traceability, user experience, human-AI teaming, workforce development, cross-sector coordination, stewardship and...

L. McInnes, Dorian Arnold, Prasanna Balaprakash et al. · 0 citations

An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc

PETSCAgent-Bench is introduced, a multidimensional benchmark and agent-based framework for assessing whether AI-generated scientific code uses a production HPC library as an expert would and combines deterministic checks with LLM-based assessments.

Hong Zhang, Barry Smith, S. Balay et al. · 2 citations
Book Jul 2026

Improving Usability and Productivity of PETSc with Agent-Based Workflows

This work position PETSc as a domain-aware component in multi-step AI workflows that span question answering, code development, execution, and verification, and describes the infrastructure and prototype services that support these capabilities and outline their potential to enable more effective, reliable, and scalabl...

Barry Smith, Hong Zhang, Junchao Zhang et al. · 1 citation

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