2 citations · 2 across the 11 of their papers we have counts for
4 papers · 1 filter
COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC
Ankur Lahiry, Banooqa Banday, Yugesh Bhattarai +2
HPC systems expose many configuration parameters that jointly drive competing objectives. Existing tools such as autotuners recommend good configurations but do not identify minima…
Optimas: An Intelligent Analytics-Informed Generative AI Framework for Performance Optimization
Mohammad Zaeed, Tanzima Z. Islam, Vladimir Indic
Large language models (LLMs) show promise for automated code optimization. However, without performance context, they struggle to produce correct and effective code transformations…
Opal: A Modular Framework for Optimizing Performance using Analytics and LLMs
Mohammad Zaeed, Tanzima Z. Islam, Vladimir Inđić
Large Language Models (LLMs) show promise for automated code optimization but struggle without performance context. This work introduces Opal, a modular framework that connects per…
WANDER: An Explainable Decision-Support Framework for HPC
Ankur Lahiry, Banooqa Banday, Yugesh Bhattarai +1
High-performance computing (HPC) systems expose many interdependent configuration knobs that impact runtime, resource usage, power, and variability. Existing predictive tools model…