Tracing the MPI-IO Calls' Disk Accesses. - Thomas Ludwig 002; Stephan Krempel; Julian M. Kunkel; Frank Panse; Dulip Withanage (PVM/MPI, 2006)

Performance Evaluation of the PVFS2 Architecture. - Julian M. Kunkel; Thomas Ludwig 002 (PDP, 2007)

Analysis of the MPI-IO Optimization Levels with the PIOViz Jumpshot Enhancement. - Thomas Ludwig 002; Stephan Krempel; Michael Kuhn 003; Julian M. Kunkel; Christian Lohse (PVM/MPI, 2007)

Directory-Based Metadata Optimizations for Small Files in PVFS. - Michael Kuhn 003; Julian M. Kunkel; Thomas Ludwig 002 (Euro-Par, 2008)

Bottleneck Detection in Parallel File Systems with Trace-Based Performance Monitoring. - Julian M. Kunkel; Thomas Ludwig 002 (Euro-Par, 2008)

USB flash drives as an energy efficient storage alternative. - Olga Mordvinova; Julian M. Kunkel; Christian Baun; Thomas Ludwig 002; Marcel Kunze (GRID, 2009)

Small-file access in parallel file systems. - Philip H. Carns; Samuel Lang; Robert B. Ross; Murali Vilayannur; Julian M. Kunkel; Thomas Ludwig 002 (IPDPS, 2009)

Tracing Performance of MPI-I/O with PVFS2: A Case Study of Optimization. - Yuichi Tsujita; Julian M. Kunkel; Stephan Krempel; Thomas Ludwig 002 (PARCO, 2009)

Tracing Internal Communication in MPI and MPI-I/O. - Julian M. Kunkel; Yuichi Tsujita; Olga Mordvinova; Thomas Ludwig 002 (PDCAT, 2009)

Using Non-blocking I/O Operations in High Performance Computing to Reduce Execution Times. - David Büttner; Julian M. Kunkel; Thomas Ludwig 002 (PVM/MPI, 2009)

Dynamic file system semantics to enable metadata optimizations in PVFS. - Michael Kuhn 003; Julian M. Kunkel; Thomas Ludwig 002 (Concurr. Comput. Pract. Exp., 2009)

Collecting energy consumption of scientific data - Energy demands for files during their life cycle. - Julian M. Kunkel; Olga Mordvinova; Michael Kuhn 003; Thomas Ludwig 002 (Comput. Sci. Res. Dev., 2010)

Simulation of power consumption of energy efficient cluster hardware. - Timo Minartz; Julian M. Kunkel; Thomas Ludwig 002 (Comput. Sci. Res. Dev., 2010)

I/O performance evaluation with Parabench - programmable I/O benchmark. - Olga Mordvinova; Dennis Runz; Julian M. Kunkel; Thomas Ludwig 002 (ICCS, 2010)

Optimizations for Two-Phase Collective I/O. - Michael Kuhn 003; Julian M. Kunkel; Yuichi Tsujita; Hidetaka Muguruma; Thomas Ludwig 002 (PARCO, 2011)

Visualization of MPI(-IO) Datatypes. - Julian M. Kunkel; Thomas Ludwig 002 (PARCO, 2011)

ISC'11 research paper sessions proceedings. - Julian M. Kunkel; Thomas Ludwig 002; Hans Werner Meuer (Comput. Sci. Res. Dev., 2011)

Tracing and Visualization of Energy-Related Metrics. - Timo Minartz; Julian M. Kunkel; Thomas Ludwig 002 (IPDPS Workshops, 2012)

Simulation-Aided Performance Evaluation of Server-Side Input/Output Optimizations. - Michael Kuhn 003; Julian M. Kunkel; Thomas Ludwig 002 (PDP, 2012)

IOPm - Modeling the I/O Path with a Functional Representation of Parallel File System and Hardware Architecture. - Julian M. Kunkel; Thomas Ludwig 002 (PDP, 2012)

A study on data deduplication in HPC storage systems. - Dirk Meister; Jürgen Kaiser; André Brinkmann; Toni Cortes; Michael Kuhn 003; Julian M. Kunkel (SC, 2012)

Towards an energy-aware scientific I/O interface - Stretching the ADIOS interface to foster performance analysis and energy awareness. - Julian M. Kunkel; Timo Minartz; Michael Kuhn 003; Thomas Ludwig 002 (Comput. Sci. Res. Dev., 2012)

Tool Environments to Measure Power Consumption and Computational Performance. - Timo Minartz; Daniel Molka; Julian M. Kunkel; Michael Knobloch; Michael Kuhn 003; Thomas Ludwig 002 (Handbook of Energy-Aware and Green Computing, 2012)

A Comparison of Trace Compression Methods for Massively Parallel Applications in Context of the SIOX Project. - Alvaro Aguilera; Holger Mickler; Julian M. Kunkel; Michaela Zimmer; Marc C. Wiedemann; Ralph Müller-Pfefferkorn (Parallel Tools Workshop, 2013)

Evaluating Lossy Compression on Climate Data. - Nathanael Hübbe; Al Wegener; Julian Martin Kunkel; Yi Ling; Thomas Ludwig 002 (ISC, 2013)

Using Simulation to Validate Performance of MPI(-IO) Implementations. - Julian Martin Kunkel (ISC, 2013)

Towards Self-optimization in HPC I/O. - Michaela Zimmer; Julian Martin Kunkel; Thomas Ludwig 002 (ISC, 2013)

Reducing the HPC-datastorage footprint with MAFISC - Multidimensional Adaptive Filtering Improved Scientific data Compression. - Nathanael Hübbe; Julian M. Kunkel (Comput. Sci. Res. Dev., 2013)

Editorial for the ISC'12 research paper sessions proceedings. - Julian M. Kunkel; Thomas Ludwig 002; Hans Werner Meuer (Comput. Sci. Res. Dev., 2013)

Simulating parallel programs on application and system level. - Julian M. Kunkel (Comput. Sci. Res. Dev., 2013)

Towards I/O analysis of HPC systems and a generic architecture to collect access patterns. - Marc C. Wiedemann; Julian M. Kunkel; Michaela Zimmer; Thomas Ludwig 002; Michael M. Resch; Thomas Bönisch; Xuan Wang 007; Andriy Chut; Alvaro Aguilera; Wolfgang E. Nagel; Michael Kluge; Holger Mickler (Comput. Sci. Res. Dev., 2013)

Simulation of Parallel Programs on Application and System Level. - Julian Martin Kunkel (2013)

Feign: in-silico laboratory for researching I/O strategies: using the flexible event imitation engine (feign) to alter application I/O. - Jakob Lüttgau; Julian M. Kunkel (PDSW@SC, 2014)

The SIOX Architecture - Coupling Automatic Monitoring and Optimization of Parallel I/O. - Julian M. Kunkel; Michaela Zimmer; Nathanael Hübbe; Alvaro Aguilera; Holger Mickler; Xuan Wang 007; Andriy Chut; Thomas Bönisch; Jakob Lüttgau; Roman Michel; Johann Weging (ISC, 2014)

Exascale Storage Systems - An Analytical Study of Expenses. - Julian Martin Kunkel; Michael Kuhn 003; Thomas Ludwig 002 (Supercomput. Front. Innov., 2014)

Predicting Performance of Non-contiguous I/O with Machine Learning. - Julian M. Kunkel; Michaela Zimmer; Eugen Betke (ISC, 2015)

Monitoring energy consumption with SIOX. - Julian M. Kunkel; Alvaro Aguilera; Nathanael Hübbe; Marc C. Wiedemann; Michaela Zimmer (Comput. Sci. Res. Dev., 2015)

Towards Automatic and Flexible Unit Test Generation for Legacy HPC Code. - Christian Hovy; Julian M. Kunkel (SE-HPCCSE@SC, 2016)

Analyzing Data Properties Using Statistical Sampling Techniques - Illustrated on Scientific File Formats and Compression Features. - Julian M. Kunkel (ISC Workshops, 2016)

An analytical methodology to derive power models based on hardware and software metrics. - Manuel F. Dolz; Julian M. Kunkel; Konstantinos Chasapis; Sandra Catalán (Comput. Sci. Res. Dev., 2016)

Data Compression for Climate Data. - Michael Kuhn 003; Julian M. Kunkel; Thomas Ludwig 002 (Supercomput. Front. Innov., 2016)

Analyzing Data Properties using Statistical Sampling - Illustrated on Scientific File Formats. - Julian Martin Kunkel (Supercomput. Front. Innov., 2016)

Predicting I/O Performance in HPC Using Artificial Neural Networks. - Jan Fabian Schmid; Julian M. Kunkel (Supercomput. Front. Innov., 2016)

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 002 (PaCT, 2017)

Real-Time I/O-Monitoring of HPC Applications with SIOX, Elasticsearch, Grafana and FUSE. - Eugen Betke; Julian M. Kunkel (ISC Workshops, 2017)

An MPI-IO In-Memory Driver for Non-volatile Pooled Memory of the Kove XPD. - Julian M. Kunkel; Eugen Betke (ISC Workshops, 2017)

HPC I/O in the Data Center Workshop (HPC-IODC). - Julian M. Kunkel; Jay F. Lofstead; Colin McMurtrie (ISC Workshops, 2017)

Toward Decoupling the Selection of Compression Algorithms from Quality Constraints. - Julian M. Kunkel; Anastasiia Novikova; Eugen Betke; Armin Schaare (ISC Workshops, 2017)

Simulation of Hierarchical Storage Systems for TCO and QoS. - Jakob Lüttgau; Julian M. Kunkel (ISC Workshops, 2017)

Towards Decoupling the Selection of Compression Algorithms from Quality Constraints - An Investigation of Lossy Compression Efficiency. - Julian Martin Kunkel; Anastasiia Novikova; Eugen Betke (Supercomput. Front. Innov., 2017)

Comparison of Clang Abstract Syntax Trees using String Kernels. - Raul Torres; Thomas Ludwig 002; Julian M. Kunkel; Manuel F. Dolz (HPCS, 2018)

Towards Green Scientific Data Compression Through High-Level I/O Interfaces. - Yevhen Alforov; Thomas Ludwig 002; Anastasiia Novikova; Michael Kuhn 003; Julian M. Kunkel (SBAC-PAD, 2018)

Toward Understanding I/O Behavior in HPC Workflows. - Jakob Lüttgau; Shane Snyder; Philip H. Carns; Justin M. Wozniak; Julian M. Kunkel; Thomas Ludwig 002 (PDSW-DISCS@SC, 2018)

Benefit of DDN's IME-FUSE for I/O Intensive HPC Applications. - Eugen Betke; Julian M. Kunkel (ISC Workshops, 2018)

Performance Portability of Earth System Models with User-Controlled GGDML Code Translation. - Nabeeh Jum'ah; Julian M. Kunkel (ISC Workshops, 2018)

Tools for Analyzing Parallel I/O. - Julian Martin Kunkel; Eugen Betke; Matt Bryson; Philip H. Carns; Rosemary Francis; Wolfgang Frings; Roland Laifer; Sandra Méndez (ISC Workshops, 2018)

Understanding Metadata Latency with MDWorkbench. - Julian Martin Kunkel; George S. Markomanolis (ISC Workshops, 2018)

Cost and Performance Modeling for Earth System Data Management and Beyond. - Jakob Lüttgau; Julian M. Kunkel (ISC Workshops, 2018)

Survey of Storage Systems for High-Performance Computing. - Jakob Lüttgau; Michael Kuhn 003; Kira Duwe; Yevhen Alforov; Eugen Betke; Julian M. Kunkel; Thomas Ludwig 002 (Supercomput. Front. Innov., 2018)

Understanding hardware and software metrics with respect to power consumption. - Julian M. Kunkel; Manuel F. Dolz (Sustain. Comput. Informatics Syst., 2018)

Optimizing Memory Bandwidth Efficiency with User-Preferred Kernel Merge. - Nabeeh Jumah; Julian M. Kunkel (Euro-Par Workshops, 2019)

What Company Does My News Article Refer to? Tackling Multi Class Problems With Topic Modeling. - Max Lübbering; Julian M. Kunkel; Patricio Farrell (LWDA, 2019)

Footprinting Parallel I/O - Machine Learning to Classify Application's I/O Behavior. - Eugen Betke; Julian M. Kunkel (ISC Workshops, 2019)

Scalable Parallelization of Stencils Using MODA. - Nabeeh Jum'ah; Julian M. Kunkel (ISC Workshops, 2019)

Tracking User-Perceived I/O Slowdown via Probing. - Julian M. Kunkel; Eugen Betke (ISC Workshops, 2019)

Automatic Vectorization of Stencil Codes with the GGDML Language Extensions. - Nabeeh Jumah; Julian M. Kunkel (PPoPP, 2019)

Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE. - Andrew Turner; Dominic Sloan-Murphy; Karthee Sivalingam; Harvey Richardson; Julian M. Kunkel (CoRR, 2019)

Interference of billing and scheduling strategies for energy and cost savings in modern data centers. - Julian M. Kunkel; Hayk Shoukourian; Mohammad Reza Heidari; Torsten Wilde (Sustain. Comput. Informatics Syst., 2019)

A similarity study of I/O traces via string kernels. - Raul Torres; Julian M. Kunkel; Manuel F. Dolz; Thomas Ludwig 002 (J. Supercomput., 2019)

Semi-automatic Assessment of I/O Behavior by Inspecting the Individual Client-Node Timelines - An Explorative Study on 106 Jobs. - Eugen Betke; Julian M. Kunkel (ISC, 2020)

The Importance of Temporal Behavior When Classifying Job IO Patterns Using Machine Learning Techniques. - Eugen Betke; Julian M. Kunkel (ISC Workshops, 2020)

Investigating the Overhead of the REST Protocol When Using Cloud Services for HPC Storage. - Frank Gadban; Julian M. Kunkel; Thomas Ludwig 002 (ISC Workshops, 2020)

The HPC Certification Forum: Toward a Globally Acknowledged HPC Certification. - Julian M. Kunkel; Weronika Filinger; Christian Meesters; Anja Gerbes; Sharon Broude Geva; Dirk Colbry (Comput. Sci. Eng., 2020)

Potential of I/O Aware Workflows in Climate and Weather. - Julian M. Kunkel; Luciana R. Pedro (Supercomput. Front. Innov., 2020)

AIMES: Advanced Computation and I/O Methods for Earth-System Simulations. - Julian M. Kunkel; Nabeeh Jumah; Anastasiia Novikova; Thomas Ludwig 002; Hisashi Yashiro; Naoya Maruyama; Mohamed Wahib; John Thuburn (Software for Exascale Computing, 2020)

User-Centric System Fault Identification Using IO500 Benchmark. - Radita Liem; Dmytro Povaliaiev; Jay F. Lofstead; Julian M. Kunkel; Christian Terboven (PDSW@SC, 2021)

Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis. - Julian M. Kunkel; Eugen Betke (ISC Workshops, 2021)

Understanding I/O Behavior in Scientific and Data-Intensive Computing (Dagstuhl Seminar 21332). - Philip H. Carns; Julian M. Kunkel; Kathryn M. Mohror; Martin Schulz 001 (Dagstuhl Reports, 2021)

Speed Harmonisation Strategy for Human-Driven and Autonomous Vehicles Co-existence. - Ekene Frank Ozioko; Julian M. Kunkel; Frederic T. Stahl (SAI (3), 2022)

Road Intersection Coordination Scheme for Mixed Traffic (Human Driven and Driver-Less Vehicles): A Systematic Review. - Ekene Frank Ozioko; Julian M. Kunkel; Frederic T. Stahl (SAI (3), 2022)

Performance Evaluation of Open-Source Serverless Platforms for Kubernetes. - Jonathan Decker; Piotr Kasprzak; Julian Martin Kunkel (Algorithms, 2022)

DECICE: Device-Edge-Cloud Intelligent Collaboration Framework. - Julian Martin Kunkel; Christian Boehme; Jonathan Decker; Fabrizio Magugliani; Dirk Pleiter; Bastian Koller; Karthee Sivalingam; Sabri Pllana; Alexander Nikolov; Müjdat Soytürk; Christian Racca; Andrea Bartolini; et al. (CF, 2023)

Mango-IO: I/O Metrics Consistency Analysis. - Radita Liem; Sebastian Oeste; Jay F. Lofstead; Julian M. Kunkel (CLUSTER Workshops, 2023)

HOSHMAND: Accelerated AI-Driven Scheduler Emulating Conventional Task Distribution Techniques for Cloud Workloads. - Michael Bidollahkhani; Aasish Kumar Sharma; Julian M. Kunkel (COMPSAC, 2024)

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 (SBAC-PAD, 2024)

Secure Elasticsearch Clusters on HPC Systems for Sensitive Data. - Hendrik Nolte; Lars Quentin; Julian M. Kunkel (ISC Workshops, 2024)

Interactive and Urgent HPC: Challenges and Opportunities. - Albert Reuther; Nick Brown; William Arndt; Johannes P. Blaschke; Christian Boehme; Antony Chazapis; Bjoern Enders; Robert Henschel; Julian M. Kunkel; Maxime Martinasso (CoRR, 2024)

Revolutionizing System Reliability: The Role of AI in Predictive Maintenance Strategies. - Michael Bidollahkhani; Julian M. Kunkel (CoRR, 2024)

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services. - Ali Doosthosseini; Jonathan Decker; Hendrik Nolte; Julian M. Kunkel (CoRR, 2024)

Workflow-Driven Modeling for the Compute Continuum: An Optimization Approach to Automated System and Workload Scheduling. - Aasish Kumar Sharma; Christian Boehme; Patrick Gelß; Ramin Yahyapour; Julian M. Kunkel (COMPSAC, 2025)

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 (COMPSAC, 2025)

Ethical AI: Towards Defining a Collective Evaluation Framework. - Aasish Kumar Sharma; Dimitar Kyosev; Julian M. Kunkel (COMPSAC, 2025)

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming. - Aasish Kumar Sharma; Sanjeeb Prashad Pandey; Julian Martin Kunkel (COMPSAC, 2025)

AI Work Quantization Model: Closed-System AI Computational Effort Metric. - Aasish Kumar Sharma; Michael Bidollahkhani; Julian Martin Kunkel (CoRR, 2025)

A Review of Tools and Techniques for Optimization of Workload Mapping and Scheduling in Heterogeneous HPC System. - Aasish Kumar Sharma; Julian M. Kunkel (CoRR, 2025)

GrapheonRL: 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 (CoRR, 2025)