5 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…
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…
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…
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…
On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation
Banooqa Banday, Kowshik Thopalli, Tanzima Z. Islam +1
LLM-based data generation for real-world tabular data can be challenged by the lack of sufficient semantic context in feature names used to describe columns. We hypothesize that en…