ASCEND: Personal AI Agents for Autonomous Scientific Computing Across HPC Clusters and GPU Workstations

arXiv:2609.32868 · cs.DC, cs.AI, cs.SE · Submitted 2026-09-26 · Read on arXiv

cs.DC, cs.AI, cs.SE

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/jpliu168/ASCEND

Terminology

• Benchmark — 9× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Provenance — 5× in this paper · explained in 3 episodes
• AI Agents — 4× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Trace — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Science — 1× in this paper · explained in 1 episode
• Analyzer — 1× in this paper · explained in 1 episode
• Autonomous Scientific Computing Engine and Novel Discovery — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Entrainment — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• FirecREST: RESTful API on Cray XC systems
• Foam-Agent: A Large Language Model-Based Multi-Agent Framework for Automating Computational Fluid Dynamics Workflows
• VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs
• Descriptive Execution of HPC Applications and Workflows
• EngiAI: Capability-Based Evaluation of Tool-Connected LLM Agents for Engineering Design
• Hierarchical Server Architecture for Agentic Science
• Trusted Credentials, Untrusted Behavior: Benchmarking LLM-Agent Security in High-Performance Computing
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
• ReAct: Synergizing Reasoning and Acting in Language Models
• Forecasting Global Weather with Graph Neural Networks

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