2 citations · 2 across the 8 of their papers we have counts for
9 papers
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…
Attention-Informed Surrogates for Navigating Power-Performance Trade-offs in HPC
Ashna Nawar Ahmed, Banooqa Banday, Terry Jones +1
High-Performance Computing (HPC) schedulers must balance user performance with facility-wide resource constraints. The task boils down to selecting the optimal number of nodes for…
A Distributed Framework for Causal Modeling of Performance Variability in GPU Traces
Ankur Lahiry, Ayush Pokharel, Banooqa Banday +5
Large-scale GPU traces play a critical role in identifying performance bottlenecks within heterogeneous High-Performance Computing (HPC) architectures. However, the sheer volume an…
Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash +40
This report summarizes insights from the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Sc…
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…