Cover Image

COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lahiry, Ankur, Banday, Banooqa, Bhattarai, Yugesh, Zaeed, Mohammad, Islam, Tanzima Z.
Format:	Preprint
Published:	2026
Subjects:	Performance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WANDER: An Explainable Decision-Support Framework for HPC
by: Lahiry, Ankur, et al.
Published: (2025)

Optimas: An Intelligent Analytics-Informed Generative AI Framework for Performance Optimization
by: Zaeed, Mohammad, et al.
Published: (2026)

Attention-Informed Surrogates for Navigating Power-Performance Trade-offs in HPC
by: Ahmed, Ashna Nawar, et al.
Published: (2026)

Opal: A Modular Framework for Optimizing Performance using Analytics and LLMs
by: Zaeed, Mohammad, et al.
Published: (2025)

A Distributed Framework for Causal Modeling of Performance Variability in GPU Traces
by: Lahiry, Ankur, et al.
Published: (2025)

Data-Driven Analysis to Understand GPU Hardware Resource Usage of Optimizations
by: Islam, Tanzima Z., et al.
Published: (2024)

Scalable GPU Performance Variability Analysis framework
by: Lahiry, Ankur, et al.
Published: (2025)

Novel Representation Learning Technique using Graphs for Performance Analytics
by: Ramadan, Tarek, et al.
Published: (2024)

On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation
by: Banday, Banooqa, et al.
Published: (2024)

HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach
by: Hossain, Abrar, et al.
Published: (2025)

LLload: An Easy-to-Use HPC Utilization Tool
by: Byun, Chansup, et al.
Published: (2024)

Streaming Data in HPC Workflows Using ADIOS
by: Eisenhauer, Greg, et al.
Published: (2024)

Energy Concerns with HPC Systems and Applications
by: Nana, Roblex, et al.
Published: (2023)

Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles
by: Arif, Moiz, et al.
Published: (2026)

EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC
by: Shen, Siyuan, et al.
Published: (2025)

Architectural Trade-offs in the Energy-Efficient Era: A Comparative Study of power-capping NVIDIA H100 and H200
by: Ujeniya, Aditya, et al.
Published: (2026)

Evaluating HPC-Style CPU Performance and Cost in Virtualized Cloud Infrastructures
by: Tharwani, Jay, et al.
Published: (2025)

Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
by: Jain, Rutwik, et al.
Published: (2026)

Operational Strategies for Non-Disruptive Scheduling Transitions in Production HPC Systems
by: MacLachlan, Glen, et al.
Published: (2026)

PIM or CXL-PIM? Understanding Architectural Trade-offs Through Large-Scale Benchmarking
by: Lee, I-Ting, et al.
Published: (2025)

A-Graph: A Unified Graph Representation for At-Will Simulation across System Stacks
by: Price, Daniel, et al.
Published: (2026)

Usability Evaluation of Cloud for HPC Applications
by: Sochat, Vanessa, et al.
Published: (2025)

Heuristic-Based Merging of HPC Traces to Extend Hardware Counter Coverage
by: Aubach, Júlia Orteu, et al.
Published: (2026)

MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning
by: Jam, Mathys, et al.
Published: (2025)

Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey
by: Ather, Hammad, et al.
Published: (2024)

A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading
by: Atif, Mohammad, et al.
Published: (2025)

Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms
by: Bambini, Giovanni, et al.
Published: (2024)

Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach
by: Alahyane, Abdelkrim, et al.
Published: (2026)

Extrae.jl: Julia bindings for the Extrae HPC Profiler
by: Sanchez-Ramirez, Sergio, et al.
Published: (2025)

Inductive Loop Analysis for Practical HPC Application Optimization
by: Schaad, Philipp, et al.
Published: (2025)

Dependability of UAV-Based Networks and Computing Systems: A Survey
by: Zhang, Qingyang, et al.
Published: (2025)

A Practical Two-Stage Framework for GPU Resource and Power Prediction in Heterogeneous HPC Systems
by: Oztop, Beste, et al.
Published: (2026)

LLload: Simplifying Real-Time Job Monitoring for HPC Users
by: Byun, Chansup, et al.
Published: (2024)

Wattlytics: A Web Platform for Co-Optimizing Performance, Energy, and TCO in HPC Clusters
by: Afzal, Ayesha, et al.
Published: (2026)

Meta-Metrics and Best Practices for System-Level Inference Performance Benchmarking
by: Salaria, Shweta, et al.
Published: (2025)

PipeWeave: Synergizing Analytical and Learning Models for Unified GPU Performance Prediction
by: Zhang, Kaixuan, et al.
Published: (2026)

Pinching-Antenna Systems For Indoor Immersive Communications: A 3D-Modeling Based Performance Analysis
by: Wang, Yulei, et al.
Published: (2025)

Hierarchical Analyses Applied to Computer System Performance: Review and Call for Further Studies
by: Thomasian, Alexander
Published: (2024)

Performance Analysis of HPC applications on the Aurora Supercomputer: Exploring the Impact of HBM-Enabled Intel Xeon Max CPUs
by: Ibeid, Huda, et al.
Published: (2025)

AutoLALA: Automatic Loop Algebraic Locality Analysis for AI and HPC Kernels
by: Zhu, Yifan, et al.
Published: (2026)