Dr. Jay Lofstead is a Principal Member of Technical Staff at Sandia National Laboratories, focusing on high-performance computing, I/O performance optimization, and portability solutions for large-scale scientific applications.
14Publications
2Projects
Research Interests
- High Performance Computing
- I/O Performance
- Portability
Projects
Publications
2026
Trigger-Gated Multimodal LLM Agents for In-situ Scientific Simulation Monitoring
2026
Type-Safe, Dynamically Defined Metadata Support for Scientific Applications
2026
Extending I/O Observability to Explainability for Targeted Optimization
2026
DataCrumbs: Efficient Cross-Layer Data Capture for Explainable I/O Performance in HPC Storage Stacks
2026
Rich I/O-centric Derived Quantity Operators for Advanced In Situ Processing
2024
To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation
2024
An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads
2024
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis
2023
An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads
2022
LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace
2021
Utilizing Persistent Memory in Parallel I/O Libraries
2021
pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory
2019Karsten Schwan Best Paper Award
LABIOS: A Distributed Label-Based I/O System
2018
