| 2026 | COMPSAC | Architectures, Learning Loops, and Emergence in Agentic Services Computing. | Sadaf Shafi, Michael Bidollahkhani, Julian M. Kunkel |
| 2026 | COMPSAC | Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems. | Aasish Kumar Sharma, Julian M. Kunkel |
| 2026 | COMPSAC | Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review. | Aasish Kumar Sharma, Dimitar Koysev, Christopher Anich, Roshni Kumari Ojha, Julian M. Kunkel |
| 2026 | COMPSAC | DECICE: AI-Driven Scheduling and Digital Twin Integration for the Cloud-HPC-Edge Compute Continuum. | Aasish Kumar Sharma, Felix Stein, Mirac Aydin, Michael Bidollahkhani, Sachin P. Nanavati, Mohsen Seyedkazemi Ardebili, Giorgi Mamulashvili, Mojtaba Akbari, Jonathan Decker, Zoya Masih, Julian M. Kunkel |
| 2026 | HPDC | Robust I/O Characterization of Machine Learning Workloads Across Performance Analysis Tools. | Zoya Masih, Radita Liem, Julian M. Kunkel |
| 2026 | SSDBM | Aligning Storage Benchmark Metrics with Application-Level Performance. | Radita Liem, Khoa Nguyen, Julian M. Kunkel, Jay F. Lofstead, Sarah Neuwirth |
| 2025 | COMPSAC | Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling. | Aasish Kumar Sharma, Christian Boehme, Patrick Gel, Ramin Yahyapour, Julian M. Kunkel |
| 2025 | COMPSAC | Grapheon RL: A Graph Neural Network and Reinforcement Learning Framework for Constraint and Data-Aware Workflow Mapping and Scheduling in Heterogeneous HPC Systems. | Aasish Kumar Sharma, Julian M. Kunkel |
| 2025 | COMPSAC | Ethical AI: Towards Defining a Collective Evaluation Framework. | Aasish Kumar Sharma, Dimitar Kyosev, Julian M. Kunkel |
| 2025 | HiPC | Maximizing Insights, Minimizing Data: I/O Time Prediction Using Transfer Learning. | Adrian Vo, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns, Matthias Mller |
| 2025 | HPDC | Factors Impacting I/O Time Proportion in AI Workloads. | Zoya Masih, Radita Liem, Julian M. Kunkel |
| 2024 | COMPSAC | HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads. | Michael Bidollahkhani, Aasish Kumar Sharma, Julian M. Kunkel |
| 2024 | SBAC-PAD | High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow. | Dmytro Povaliaiev, Radita Liem, Julian M. Kunkel, Jay F. Lofstead, Philip H. Carns |
| 2023 | CLUSTER | Mango-IO: I/O Metrics Consistency Analysis. | Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian M. Kunkel |
| 2022 | CCGRID | A Secure Workflow for Shared HPC Systems. | Hendrik Nolte, Simon Hernan Sarmiento Sabater, Tim Ehlers, Julian M. Kunkel |
| 2019 | EuroPar | Optimizing Memory Bandwidth Efficiency with User-Preferred Kernel Merge. | Nabeeh Jumah, Julian M. Kunkel |
| 2018 | SC | Toward Understanding I/O Behavior in HPC Workflows. | Jakob Lttgau, Shane Snyder, Philip H. Carns, Justin M. Wozniak, Julian M. Kunkel, Thomas Ludwig |
| 2018 | SBAC-PAD | Towards Green Scientific Data Compression Through High-Level I/O Interfaces. | Yevhen Alforov, Thomas Ludwig, Anastasiia Novikova, Michael Kuhn, Julian M. Kunkel |
| 2017 | PACT | A Novel String Representation and Kernel Function for the Comparison of I/O Access Patterns. | Raul Torres, Julian M. Kunkel, Manuel F. Dolz, Thomas Ludwig |
| 2016 | SC | Towards Automatic and Flexible Unit Test Generation for Legacy HPC Code. | Christian Hovy, Julian M. Kunkel |
| 2014 | SC | Feign: in-silico laboratory for researching I/O strategies: using the flexible event imitation engine (feign) to alter application I/O. | Jakob Lttgau, Julian M. Kunkel |
| 2012 | PDP | Simulation-Aided Performance Evaluation of Server-Side Input/Output Optimizations. | Michael Kuhn, Julian M. Kunkel, Thomas Ludwig |
| 2012 | PDP | IOPm - Modeling the I/O Path with a Functional Representation of Parallel File System and Hardware Architecture. | Julian M. Kunkel, Thomas Ludwig |
| 2012 | SC | A study on data deduplication in HPC storage systems. | Dirk Meister, Jrgen Kaiser, Andr Brinkmann, Toni Cortes, Michael Kuhn, Julian M. Kunkel |
| 2009 | PDCAT | Tracing Internal Communication in MPI and MPI-I/O. | Julian M. Kunkel, Yuichi Tsujita, Olga Mordvinova, Thomas Ludwig |
| 2008 | EuroPar | Directory-Based Metadata Optimizations for Small Files in PVFS. | Michael Kuhn, Julian M. Kunkel, Thomas Ludwig |
| 2008 | EuroPar | Bottleneck Detection in Parallel File Systems with Trace-Based Performance Monitoring. | Julian M. Kunkel, Thomas Ludwig |
| 2007 | PDP | Performance Evaluation of the PVFS2 Architecture. | Julian M. Kunkel, Thomas Ludwig |