Accepted Posters

The accepted posters were peer-reviewed by the SSDBM 2025 posters program committee.

Addressing I/O Challenges in Time Frame Transformations: A Case Study of WarpX Simulations Junmin Gu, Kesheng Wu, Axel Huebl, Jean-Luc Vay, Alexander Sim, Norbert Podhorszki and Scott Klasky.

Scalable Location Prediction of Miners using Hierarchical Temporal Graph Attention Model in Underground Mine Abhay Goyal, Sanjay Madria and Samuel Frimpong.

Automatic Metadata Capture and Processing for High-Performance Workflows Polina Shpilker and Line Pouchard.

Personalizing Travel Using LLMs Raghav Mittal, Rushil Thareja, Mukesh Mohania and Yoshiharu Ishikawa.

Enhancing Al-Assisted Debugging in Complex Distributed Systems via Trace-Level Provenance Xulu Chu, Yuta Nakamura and Tanu Malik.

Rich Operators for Advanced In Situ Processing Hua Xu, Jaime Cernuda, Jay Lofstead, Anthony Kougkas, Xian-He Sun, Ana Gainaru, Scott Klasky, Josh Teves and Curtis Brinker.

A Unified Data Stack for AI Workflows Keith Bateman, Neeraj Rajesh, Jaime Cernuda, Luke Logan, Bogdan Nicolae, Franck Cappello, Xian-He Sun and Anthony Kougkas.

Analyzing I/O Patterns and Dataflow in HPC Workflows Meng Tang, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun and Luanzheng Guo.

Predicting Rare Earth Element Concentrations Using Multiple Sensors Jun Woo Chung, Kesheng Wu, Xuan Cao, Chunwei Chou, Nicola Falco, Brian Quiter, Michael Whittaker, Weijie Zhao and Yuxin Wu.

ChronoLog & AI: A Scalable, Collaborative Solution for LLM Conversation Logging & Retrieval Soham Sonar, Jaime Cernuda, Anthony Kougkas and Xian-He Sun.

Augmenting LLMs for HPC I/O Performance Diagnosis Chris Egersdoerfer, Dong Dai, Arnav Sareen, Jean Luca Bez, Suren Byna and Dongkuan Xu.

Eris: A Trace-Driven Gym for AI-Powered Cache Optimization in HPC Neeraj Rajesh, Keith Bateman, Xian-He Sun and Anthony Kougkas.

Bridging LLMs and HPC: A Modular MCP-IOWarp Framework for Scalable Task Execution Aum Vinodchandra Sathwara, Jaime Cernuda Garcia and Luke Loga.

Scalable GPU Performance Variability Analysis framework Ankur Lahiry, Ayush Pokharel, Seth Ockerman, Amal Gueroudji, Line Pouchard and Tanzmia Z. Islam.

Efficient Data Movement and Computation via In-Flight Analysis Noah Lewis and Suren Byna.

Scaling Data Tokenization for AI Systems Rajni Parshuram Pawar, Luke Logan and Xian-He Sun.

Accelerate LLM inference with Asynchronous model offload Jie Ye, Anthony Kougkas, Xian-He Sun and Bogdan Nicolae.

AIDRIN 2.0: A Framework to Assess Data Readiness for AI Kaveen Hiniduma, Dylan Ryan, Suren Byna, Jean Luca Bez and Ravi Madduri.

AI Driven Cart Optimizer Pavithra Kannan and Jehoshaphat Abaya.