Dr. Jaime Cernuda Garcia is an Assistant Research Professor at the Gnosis Research Center. He completed his PhD at Illinois Institute of Technology (defended late 2025, degree conferred May 2026). His research focuses on streaming data systems, hierarchical storage, and deployment infrastructure for HPC. He is the developer of HFlow (CLUSTER'21), Hades (CCGrid'24), HStream (ICPP'24), and Jarvis (PDSW'24).
Joined: Aug 2020Graduated: May 2026
Now: Assistant Research Professor at Gnosis Research Center, Illinois Institute of Technology
26Publications
9Projects
Research Interests
- Streaming Systems
- Hierarchical Storage
- Data Flow
- HPC Deployment
Projects
- ChronoLog (2020–present)
- Coeus (2021–2026)
- DeepIO (2023–present)
- DTIO (2023–2026)
- Hermes (2020–2025)
- IOWarp (2024–present)
- IRIS (2020–2023)
- LABIOS (2020–present)
- SPOTTER-AI (2026–present)
News Mentions
Awards & Honors
Publications
2026
Trigger, Render, Reason: Multimodal LLM Agents for Science-Aware Scientific Simulation Monitoring
2026
Trigger-Gated Multimodal LLM Agents for In-situ Scientific Simulation Monitoring
2026
Rich I/O-centric Derived Quantity Operators for Advanced In Situ Processing
2026
Acropolis: A Portable, AI-Driven Semantic Search System for HPC
2026
Agent Error Simulator: Fault Injection for Testing Recovery in Agentic Workflows
2026
Pre-RoPE versus Post-RoPE: Trading Per-Step Compute for KVCache Survivability
2026
Agentic Search Efficiency for Scientific Data Discovery
2026
Accelerating Multi-Agent Orchestration with Speculative Dispatching
2026
Correct Is Not I/O Efficient: Characterizing I/O Behavior of LLM Agents on Scientific Data
2025
Towards an AI-driven scientific workflow
2025
DTIO: Data Stack for AI-driven Workflows
2025
Characterizing the Behavior and Impact of KV Caching on Transformer Inferences under Concurrency
2025
A Unified Data Stack for AI Workflows
2025
ChronoLog & AI: A Scalable, Collaborative Solution for LLM Conversation Logging & Retrieval
2025
Bridging LLMs and HPC: A Modular MCP-IOWarp Framework for Scalable Task Execution
2024
Jarvis: Towards a Shared, User-Friendly, and Reproducible, I/O Infrastructure.
2024
DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics
2024
HStream: A hierarchical data streaming engine for high-throughput scientific applications
2024
Viper: A High-Performance I/O Framework for Transparently Updating, Storing, and Transferring Deep Neural Network Models
2024
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis
2022
LuxIO: Intelligent Resource Provisioning and Auto-Configuration for Storage Services
2022
LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace
2021
HFlow: A Dynamic and Elastic Multi-Layered Data Forwarder
2021
Apollo: An ML-assisted Real-Time Storage Resource Observer
2020
ChronoLog: A Distributed Shared Tiered Log Store with Time-based Data Ordering
2019
