Semi-Automatic Parallelization of Fortran Programs. - Hans P. Zima; Heinz-J. Bast; Michael Gerndt; Peter J. Hoppen (CONPAR, 1986)

MIMD-Parallelization for SUPENUM. - Michael Gerndt; Hans P. Zima (ICS, 1987)

Advanced tools and techniques for automatic parallelization. - Ulrich Kremer; Heinz-J. Bast; Michael Gerndt; Hans P. Zima (Parallel Comput., 1988)

SUPERB: A tool for semi-automatic MIMD/SIMD parallelization. - Hans P. Zima; Heinz-J. Bast; Michael Gerndt (Parallel Comput., 1988)

Array distribution in SUPERB. - Michael Gerndt (ICS, 1989)

Automatic parallelization for distributed-memory multiprocessing systems. - Hans Michael Gerndt (1989)

Optimizing Communication in Superb. - Michael Gerndt; Hans P. Zima (CONPAR, 1990)

Updating Distributed Variables in Local Computations. - Michael Gerndt (Concurr. Pract. Exp., 1990)

Parallelisierung auf SUPRENUM. - Michael Gerndt; Clemens-August Thole; Ulrich Trottenberg; Hans P. Zima (Inform. Spektrum, 1990)

Parallelization for Multiprocessors with Memory Hierarchies. - Michael Gerndt; Hans Moritsch (ACPC, 1991)

Parallelization of Multigrid Programs in SUPERB. - Michael Gerndt (EDMCC, 1991)

Work distribution in parallel programs for distributed memory multiprocessors. - Michael Gerndt (ICS, 1991)

Concurrent File Operations in a High Performance FORTRAN. - Peter Brezany; Michael Gerndt; Piyush Mehrotra; Hans P. Zima (SC, 1992)

Massively Parallel Computing in a Proction Environment iPSC/860 Installation at KFA Jülich. - Rudolf Berrendorf; Ulrich Detert; Jutta Docter; U. Ehrhart; Michael Gerndt; Inge Gutheil; R. Knecht (GI Jahrestagung, 1993)

A Comparison of Shared Virtual Memory and Message Passing Programming Techniques Based on a Finite Element Application. - Rudolf Berrendorf; Michael Gerndt; Zakaria Lahjomri; Thierry Priol (CONPAR, 1994)

TOP2 Tool Suite for the Development and Testing of Parallel Applications. - Ulrich Detert; Michael Gerndt (CONPAR, 1994)

Automatic Parallelization of a Crystal Growth Simulation Program for Distributed-Memory Systems. - Michael Gerndt (HPCN, 1994)

Parallelizing applications with SVM-Fortran. - Michael Gerndt; Rudolf Berrendorf (HPCN Europe, 1995)

Performance Analysis for SVM-Fortran with OPAL. - Michael Gerndt; Andreas Krumme; Selçuk Özmen (PDPTA, 1995)

Program Optimization for Shared Virtual Memory Systems. - Michael Gerndt; Andreas Krumme (HPCN Europe, 1996)

"Programming Shared Virtual Memory Multiprocessor". - Michael Gerndt (PDP, 1996)

SVM-Fortran: Eine Programmierumgebung für massiv-parallele Rechner. - Rudolf Berrendorf; Michael Gerndt; Andreas Krumme; Selçuk Özmen (Prax. Inf.verarb. Kommun., 1996)

Sprachunterstützung zur Programmierung von Multiprozessorsystemen mit Shared Virtual Memory. - Michael Gerndt (GI Jahrestagung, 1997)

A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared. - Michael Gerndt; Andreas Krumme (HIPS, 1997)

Unstructured Templates for Programming Irregular Grid Applications on High Performance Computers. - Michael Gerndt (PARCO, 1997)

High-Level Programming of Massively Parallel Computers Based on Shared Virtual Memory. - Michael Gerndt (Parallel Comput., 1998)

Performance analysis on CRAY T3E. - Michael Gerndt; Bernd Mohr; Mario Pantano; Felix Wolf 001 (PDP, 1999)

Towards automatic performance debugging tools. - Michael Gerndt (AADEBUG, 2000)

Support Tools and Environments. - Barton P. Miller; Michael Gerndt (Euro-Par, 2000)

Specification of Performance Problems in MPI Programs with ASL. - Thomas Fahringer; Michael Gerndt; Graham D. Riley; Jesper Larsson Träff (ICPP, 2000)

Specification Techniques for Automatic Performance Analysis Tools. - Michael Gerndt; Hans-Georg Eßer (IPDPS Workshops, 2000)

On Performance Modeling for HPF Applications with ASL. - Thomas Fahringer; Michael Gerndt; Graham D. Riley; Jesper Larsson Träff (ISHPC, 2000)

Formalizing OpenMP Performance Properties with ASL. - Thomas Fahringer; Michael Gerndt; Graham D. Riley; Jesper Larsson Träff (ISHPC, 2000)

Topic 01: Support Tools and Environments. - Michael Gerndt (Euro-Par, 2001)

Performance Analysis for Teraflop Computers: A Distributed Automatic Approach. - Michael Gerndt; Andreas Schmidt; Martin Schulz 001; Roland Wismüller (PDP, 2002)

Performance Analysis: Necessity or Add-on in Grid Computing. - Michael Gerndt (PVM/MPI, 2002)

Guest-Editorial: PADDA 2001. - Michael Gerndt (Sci. Program., 2002)

Distributed Application Monitoring for Clustered SMP Architectures. - Karl Fürlinger; Michael Gerndt (Euro-Par, 2003)

Topic Introduction. - Michael Gerndt; Chau-Wen Tseng; Michael F. P. O'Boyle; Markus Schordan (Euro-Par, 2003)

Distributed Configurable Application Monitoring on SMP Clusters. - Karl Fürlinger; Michael Gerndt (PVM/MPI, 2003)

Evaluating OpenMP Performance Analysis Tools with the APART Test Suite. - Michael Gerndt; Bernd Mohr; Jesper Larsson Träff (Euro-Par, 2004)

A Data Structure Oriented Monitoring Environment for Fortran OpenMP Programs. - Edmond Kereku; Tianchao Li 001; Michael Gerndt; Josef Weidendorfer (Euro-Par, 2004)

05501 Summary - Automatic Performance Analysis. - Michael Gerndt; Allen D. Malony; Barton P. Miller; Wolfgang E. Nagel (Automatic Performance Analysis, 2005)

05501 Abstracts Collection - Automatic Performance Analysis. - Michael Gerndt; Allen D. Malony; Barton P. Miller; Wolfgang E. Nagel (Automatic Performance Analysis, 2005)

Performance Cockpit: An Extensible GUI Platform for Performance Tools. - Tianchao Li 001; Michael Gerndt (Euro-Par, 2005)

Performance Analysis of Shared-Memory Parallel Applications Using Performance Properties. - Karl Fürlinger; Michael Gerndt (HPCC, 2005)

Automated Analysis of Memory Access Behavior. - Michael Gerndt; Tianchao Li 001 (IPDPS, 2005)

: A Profiling Tool for OpenMP. - Karl Fürlinger; Michael Gerndt (IWOMP, 2005)

SMART: A Simulation Tool for Analyzing Cache Access Behavior on SMPs. - Tianchao Li 001; Michael Gerndt (MASCOTS, 2005)

Periscope: Advanced Techniques for Performance Analysis. - Michael Gerndt; Karl Fürlinger; Edmond Kereku (PARCO, 2005)

The EP-Cache Automatic Monitoring System. - Edmond Kereku; Michael Gerndt (IASTED PDCS, 2005)

Automatic performance analysis tools for the Grid. - Michael Gerndt (Concurr. Pract. Exp., 2005)

Monitoring cache behavior on parallel SMP architectures and related programming tools. - Thomas Brandes; Helmut Schwamborn; Michael Gerndt; Jürgen Jeitner; Edmond Kereku; Martin Schulz 001; Holger Brunst; Wolfgang E. Nagel; Reinhard Neumann; Ralph Müller-Pfefferkorn; Bernd Trenkler; Wolfgang Karl; et al. (Future Gener. Comput. Syst., 2005)

Finding Inefficiencies in OpenMP Applications Automatically with Periscope. - Karl Fürlinger; Michael Gerndt (International Conference on Computational Science (2), 2006)

The monitoring request interface (MRI). - Edmond Kereku; Michael Gerndt (IPDPS, 2006)

Automated Performance Analysis Using ASL Performance Properties. - Karl Fürlinger; Michael Gerndt (PARA, 2006)

Automatic Monitoring of Memory Hierarchies in Threaded Applications with AMEBA. - Edmond Kereku; Michael Gerndt (PARA, 2006)

Analyzing Overheads and Scalability Characteristics of OpenMP Applications. - Karl Fürlinger; Michael Gerndt (VECPAR, 2006)

On Using Incremental Profiling for the Performance Analysis of Shared Memory Parallel Applications. - Karl Fürlinger; Michael Gerndt; Jack J. Dongarra (Euro-Par, 2007)

Search Strategies for Automatic Performance Analysis Tools. - Michael Gerndt; Edmond Kereku (Euro-Par, 2007)

Scalability Analysis of the SPEC OpenMP Benchmarks on Large-Scale Shared Memory Multiprocessors. - Karl Fürlinger; Michael Gerndt; Jack J. Dongarra (International Conference on Computational Science (2), 2007)

Automatic Memory Access Analysis with Periscope. - Michael Gerndt; Edmond Kereku (International Conference on Computational Science (2), 2007)

Distribution of Periscope Analysis Agents on ALTIX 4700. - Michael Gerndt; Sebastian Strohhäcker (PARCO, 2007)

Specification and detection of performance problems with ASL. - Michael Gerndt; Karl Fürlinger (Concurr. Comput. Pract. Exp., 2007)

Special Issue: European-American Working Group on Automatic Performance Analysis (APART). - Michael Gerndt; John R. Gurd (Concurr. Comput. Pract. Exp., 2007)

A test suite for parallel performance analysis tools. - Michael Gerndt; Bernd Mohr; Jesper Larsson Träff (Concurr. Comput. Pract. Exp., 2007)

Topic 2: Performance Prediction and Evaluation. - Francisco Almeida; Michael Gerndt; Adolfy Hoisie; Martin Schulz 001 (Euro-Par, 2008)

FinGrid Accounting and Billing. - Houssam Haitof; Hans-Dieter Wehle; Michael Gerndt (BPSC, 2009)

09131 Abstracts Collection - Service Level Agreements in Grids. - Hans Michael Gerndt; Omer F. Rana; Gregor von Laszewski; Wolfgang Ziegler (Service Level Agreements in Grids, 2009)

09131 Executive Summary - Service Level Agreements in Grids. - Hans Michael Gerndt; Omer F. Rana; Gregor von Laszewski; Wolfgang Ziegler (Service Level Agreements in Grids, 2009)

Automatic Performance Analysis of Large Scale Simulations. - Shajulin Benedict; Matthias Brehm; Michael Gerndt; Carla Guillén; Wolfram Hesse; Ventsislav Petkov (Euro-Par Workshops, 2009)

PERISCOPE: An Online-Based Distributed Performance Analysis Tool. - Shajulin Benedict; Ventsislav Petkov; Michael Gerndt (Parallel Tools Workshop, 2009)

Score-P: A Unified Performance Measurement System for Petascale Applications. - Dieter an Mey; Scott Biersdorff; Christian H. Bischof; Kai Diethelm; Dominic Eschweiler; Michael Gerndt; Andreas Knüpfer; Daniel Lorenz 001; Allen D. Malony; Wolfgang E. Nagel; Yury Oleynik; Christian Rössel; et al. (CHPC, 2010)

Distributed Systems and Algorithms. - Omer F. Rana; Giandomenico Spezzano; Michael Gerndt; Daniel S. Katz (Euro-Par (1), 2010)

Integrating parallel application development with performance analysis in periscope. - Ventsislav Petkov; Michael Gerndt (IPDPS Workshops, 2010)

Automatic Performance Analysis of OpenMP Codes on a Scalable Shared Memory System Using Periscope. - Shajulin Benedict; Michael Gerndt (PARA (2), 2010)

Preface. - Dieter Kranzlmüller; Henri Casanova; Michael Gerndt; Michael Schiffers (Clust. Comput., 2010)

Special Issue: Scalable Tools for High-end Computing. - Michael Gerndt; Barton P. Miller (Concurr. Comput. Pract. Exp., 2010)

Automatic performance analysis with periscope. - Michael Gerndt; Michael Ott 001 (Concurr. Comput. Pract. Exp., 2010)

PROPER 2011: Fourth Workshop on Productivity and Performance Tools for HPC Application Development. - Michael Gerndt (Euro-Par Workshops (2), 2011)

Scalable Automatic Performance Analysis on IBM BlueGene/P Systems. - Yury Oleynik; Michael Gerndt (Euro-Par Workshops (2), 2011)

Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir. - Andreas Knüpfer; Christian Rössel; Dieter an Mey; Scott Biersdorff; Kai Diethelm; Dominic Eschweiler; Markus Geimer; Michael Gerndt; Daniel Lorenz 001; Allen D. Malony; Wolfgang E. Nagel; Yury Oleynik; et al. (Parallel Tools Workshop, 2011)

Semantic-based document management system. - Houssam Haitof; Alexander Krivutsenko; Michael Gerndt (Int. J. Reason. based Intell. Syst., 2011)

Performance Analysis Tools. - Michael Gerndt (Encyclopedia of Parallel Computing, 2011)

Periscope. - Michael Gerndt (Encyclopedia of Parallel Computing, 2011)

Invasive MPI on Intel's Single-Chip Cloud Computer. - Isaías A. Comprés Ureña; Michael Riepen; Michael Konow; Michael Gerndt (ARCS, 2012)

An integrated simulation framework for invasive computing. - Michael Gerndt; Frank Hannig; Andreas Herkersdorf; Andreas Hollmann; Marcel Meyer; Sascha Roloff; Josef Weidendorfer; Thomas Wild; Aurang Zaib (FDL, 2012)

Invasive computing with iOMP. - Michael Gerndt; Andreas Hollmann; Marcel Meyer; Martin Schreiber 001; Josef Weidendorfer (FDL, 2012)

Invasive Computing: An Application Assisted Resource Management Approach. - Andreas Hollmann; Michael Gerndt (MSEPT, 2012)

AutoTune: A Plugin-Driven Approach to the Automatic Tuning of Parallel Applications. - Renato Miceli; Gilles Civario; Anna Sikora; Eduardo César; Michael Gerndt; Houssam Haitof; Carmen B. Navarrete; Siegfried Benkner; Martin Sandrieser; Laurent Morin; François Bodin (PARA, 2012)

Hands-on Practical Hybrid Parallel Application Performance Engineering. - Markus Geimer; Michael Gerndt; Sameer Shende; Bert Wesarg; Brian J. N. Wylie (EuroMPI, 2012)

Wait-Free Message Passing Protocol for Non-coherent Shared Memory Architectures. - Isaías A. Comprés Ureña; Michael Gerndt; Carsten Trinitis (EuroMPI, 2012)

Topic 2: Performance Prediction and Evaluation - (Introduction). - Adolfy Hoisie; Michael Gerndt; Shajulin Benedict; Thomas Fahringer; Vladimir Getov; Scott Pakin (Euro-Par, 2013)

A Data Model for Performance Dynamics Exploration. - Yury Oleynik; Michael Gerndt; Andrés I. Ávila (HPCC/EUC, 2013)

PAThWay: Performance Analysis and Tuning Using Workflows. - Ventsislav Petkov; Michael Gerndt; Michael Firbach (HPCC/EUC, 2013)

c-gov: e-gov services on the cloud for African rural communities. - Mohamed Riduan Abid; Saad Bahri; Hachim Haddouti; Michael Gerndt (ICEGOV, 2013)

Formalizing Bottlenecks in Task-Based OpenMP Applications. - Shajulin Benedict; Michael Gerndt; Diana-Mihaela Gudu (PARCO, 2013)

Mini-Symposium on Application Autotuning for HPC. - Siegfried Benkner; Matthias Brehm; Michael Gerndt; Wolfram Hesse; Anna Sikora (PARCO, 2013)

Specification of Periscope Tuning Framework Plugins. - Robert Mijakovic; Antonio Pimenta Soto; Isaías A. Comprés Ureña; Michael Gerndt; Anna Sikora; Eduardo César (PARCO, 2013)

Recent Advances in Periscope for Performance Analysis and Tuning. - Yury Oleynik; Robert Mijakovic; Isaías A. Comprés Ureña; Michael Firbach; Michael Gerndt (Parallel Tools Workshop, 2013)

Automatic Application Tuning for HPC Architectures (Dagstuhl Seminar 13401). - Siegfried Benkner; Franz Franchetti; Hans Michael Gerndt; Jeffrey K. Hollingsworth (Dagstuhl Reports, 2013)

Automatic MPI-IO Tuning with the Periscope Tuning Framework. - Weifeng Liu; Isaías A. Comprés Ureña; Michael Gerndt; Bin Gong (IPDPS Workshops, 2014)

Wireless sensors networks for Internet of Things. - Nacer Khalil; Mohamed Riduan Abid; Driss Benhaddou; Michael Gerndt (ISSNIP, 2014)

Scalability and Performance Analysis of OpenMP Codes Using the Periscope Toolkit. - Shajulin Benedict; Michael Gerndt (Comput. Informatics, 2014)

Special issue on automatic application tuning for HPC architectures. - Siegfried Benkner; Franz Franchetti; Hans Michael Gerndt; Jeffrey K. Hollingsworth (Sci. Program., 2014)

Collective mind: Towards practical and collaborative auto-tuning. - Grigori Fursin; Renato Miceli; Anton Lokhmotov; Michael Gerndt; Marc Baboulin; Allen D. Malony; Zbigniew Chamski; Diego Novillo; Davide Del Vento (Sci. Program., 2014)

Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX). - Yury Oleynik; Michael Gerndt; Joseph Schuchart; Per Gunnar Kjeldsberg; Wolfgang E. Nagel (CSE, 2015)

Parceive: Interactive parallelization based on dynamic analysis. - Andreas Wilhelm; Bharatkumar Sharma; Ranajoy Malakar; Tobias Schüle; Michael Gerndt (PCODA@SANER, 2015)

A Fine-Granular Programming Scheme for Irregular Scientific Applications. - Haowei Huang; Liehui Jiang; Weiyu Dong; Rui Chang; Yifan Hou; Michael Gerndt (ACA, 2016)

Virtual Machines' Load-Balancing in Inter-clouds. - Mohamed Riduan Abid; Karima Kaddouri; Kevin Smith; Moulay Idriss El Ouadghiri; Michael Gerndt (FiCloud Workshops, 2016)

Tuning OpenCL Applications with the Periscope Tuning Framework. - Enes Bajrovic; Robert Mijakovic; Jirí Dokulil; Siegfried Benkner; Michael Gerndt (HICSS, 2016)

The READEX Project for Dynamic Energy Efficiency Tuning. - Michael Gerndt (SEM4HPC@HPDC, 2016)

Autotuning of MPI Applications Using PTF. - Anna Sikora; Eduardo César; Isaías A. Comprés Ureña; Michael Gerndt (SEM4HPC@HPDC, 2016)

An architecture for flexible auto-tuning: The Periscope Tuning Framework 2.0. - Robert Mijakovic; Michael Firbach; Michael Gerndt (ICGHPC, 2016)

Infrastructure and API Extensions for Elastic Execution of MPI Applications. - Isaías A. Comprés Ureña; Ao Mo-Hellenbrand; Michael Gerndt; Hans-Joachim Bungartz (EuroMPI, 2016)

A Visualization Framework for Parallelization. - Andreas Wilhelm; Victor Savu; Efe Amadasun; Michael Gerndt; Tobias Schuele (VISSOFT, 2016)

Minimization of Xeon Phi Core Use with Negligible Execution Time Impact. - Roberto Camacho Barranco; Patricia J. Teller; Michael Gerndt (XSEDE, 2016)

Model-based MPI-IO tuning with Periscope tuning framework. - Weifeng Liu; Michael Gerndt; Bin Gong (Concurr. Comput. Pract. Exp., 2016)

Dark Silicon: From Embedded to HPC Systems (Dagstuhl Seminar 16052). - Hans Michael Gerndt; Michael Glaß; Sri Parameswaran; Barry L. Rountree (Dagstuhl Reports, 2016)

A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability. - Khadija Akherfi; Hamid Harroud; Michael Gerndt (Int. J. Adapt. Resilient Auton. Syst., 2016)

Invasive computing for timing-predictable stream processing on MPSoCs. - Stefan Wildermann; Michael Bader; Lars Bauer; Marvin Damschen; Dirk Gabriel; Michael Gerndt; Michael Glaß; Jörg Henkel; Johny Paul; Alexander Pöppl; Sascha Roloff; Tobias Schwarzer; et al. (it Inf. Technol., 2016)

A Large-Scale Malleable Tsunami Simulation Realized on an Elastic MPI Infrastructure. - Ao Mo-Hellenbrand; Isaías A. Comprés Ureña; Oliver Meister; Hans-Joachim Bungartz; Michael Gerndt; Michael Bader (Conf. Computing Frontiers, 2017)

READEX: Linking two ends of the computing continuum to improve energy-efficiency in dynamic applications. - Per Gunnar Kjeldsberg; Andreas Gocht; Michael Gerndt; Lubomir Riha; Joseph Schuchart; Umbreen Sabir Mian (DATE, 2017)

QoS-based Cloud Application Management: Approach and Architecture. - Vladimir Podolskiy; Hans Michael Gerndt; Shajulin Benedict (CCB@EuroSys, 2017)

READEX Tool Suite for Energy-efficiency Tuning of HPC Applications. - Anamika Chowdhury; Madhura Kumaraswamy; Michael Gerndt (SEM4HPC@HPDC, 2017)

Design-Time Analysis for the READEX Tool Suite. - Madhura Kumaraswamy; Anamika Chowdhury; Michael Gerndt (PARCO, 2017)

Multilayered Cloud Applications Autoscaling Performance Estimation. - Anshul Jindal; Vladimir Podolskiy; Michael Gerndt (SC², 2017)

Special issue on energy reduction techniques for exa-scale computing: theory and practice. - Shajulin Benedict; Michael Gerndt; Siegfried Benkner (Computing, 2017)

The READEX formalism for automatic tuning for energy efficiency. - Joseph Schuchart; Michael Gerndt; Per Gunnar Kjeldsberg; Michael Lysaght; David Horák; Lubomír Ríha; Andreas Gocht; Mohammed Sourouri; Madhura Kumaraswamy; Anamika Chowdhury; Magnus Jahre; Kai Diethelm; et al. (Computing, 2017)

IaaS Reactive Autoscaling Performance Challenges. - Vladimir Podolskiy; Anshul Jindal; Michael Gerndt (IEEE CLOUD, 2018)

Practical Education in IoT through Collaborative Work on Open-Source Projects with Industry and Entrepreneurial Organizations. - Vladimir Podolskiy; Yesika M. Ramírez; Atakan Yenel; Shumail Mohyuddin; Hakan Uyumaz; Ali Naci Uysal; Moawiah Assali; Sergei Drugalev; Michael Gerndt; Matthias Friessnig; Anastasia Myasnichenko (FIE, 2018)

Tool-based interactive software parallelization: a case study. - Andreas Wilhelm; Faris Cakaric; Michael Gerndt; Tobias Schuele (ICSE (SEIP), 2018)

Forecasting Models for Self-Adaptive Cloud Applications: A Comparative Study. - Vladimir Podolskiy; Anshul Jindal; Michael Gerndt; Yury Oleynik (SASO, 2018)

Autoscaling Performance Measurement Tool. - Anshul Jindal; Vladimir Podolskiy; Michael Gerndt (ICPE Companion, 2018)

Efficient Failure Diagnosis of OpenStack Using Tempest. - Ankur Bhatia; Michael Gerndt; Jorge Cardoso 001 (IEEE Internet Comput., 2018)

A multi-aspect online tuning framework for HPC applications. - Michael Gerndt; Siegfried Benkner; Eduardo César; Carmen B. Navarrete; Enes Bajrovic; Jirí Dokulil; Carla Guillén; Robert Mijakovic; Anna Sikora (Softw. Qual. J., 2018)

Capacity-Driven Scaling Schedules Derivation for Coordinated Elasticity of Containers and Virtual Machines. - Yesika M. Ramírez; Vladimir Podolskiy; Michael Gerndt (ICAC, 2019)

Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. - Mohak Chadha; Michael Gerndt (IPDPS, 2019)

Invasive Computing for Power Corridor Management. - Jophin John; Santiago Narváez; Michael Gerndt (PARCO, 2019)

Metrics for Self-Adaptive Queuing in Middleware for Internet of Things. - Peeranut Chindanonda; Vladimir Podolskiy; Michael Gerndt (FAS*W@SASO/ICAC, 2019)

Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing. - Vladimir Podolskiy; Michael Mayo; Abigail M. Y. Koay; Michael Gerndt; Panos Patros (SASO, 2019)

Evaluation of Autoscaling Metrics for (stateful) IoT Gateways. - Helge Dickel; Vladimir Podolskiy; Michael Gerndt (SOCA, 2019)

Integration of Apache Spark with Invasive Resource Manager. - Jeeta Ann Chacko; Isaías A. Comprés Ureña; Michael Gerndt (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Performance Modeling for Cloud Microservice Applications. - Anshul Jindal; Vladimir Podolskiy; Michael Gerndt (ICPE, 2019)

Multilayered Autoscaling Performance Evaluation: Can Virtual Machines and Containers Co-Scale? - Vladimir Podolskiy; Anshul Jindal; Michael Gerndt (Int. J. Appl. Math. Comput. Sci., 2019)

Domain knowledge specification for energy tuning. - Madhura Kumaraswamy; Anamika Chowdhury; Michael Gerndt; Zakaria Bendifallah; Othman Bouizi; Uldis Locans; Lubomír Ríha; Ondrej Vysocky; Martin Beseda; Jan Zapletal (Concurr. Comput. Pract. Exp., 2019)

Introduction to the Special Issue on IoT Cloud Solutions for Societal Applications. - Shajulin Benedict; Michael Gerndt (Scalable Comput. Pract. Exp., 2019)

The weakest link: revealing and modeling the architectural patterns of microservice applications. - Vladimir Podolskiy; Maria Patrou; Panos Patros; Michael Gerndt; Kenneth B. Kent (CASCON, 2020)

Performance Evaluation of Container Runtimes. - Lennart Espe; Anshul Jindal; Vladimir Podolskiy; Michael Gerndt (CLOSER, 2020)

Microservices vs Serverless: A Performance Comparison on a Cloud-native Web Application. - Chen-Fu Fan; Anshul Jindal; Michael Gerndt (CLOSER, 2020)

From DevOps to NoOps: Is It Worth It? - Anshul Jindal; Michael Gerndt (CLOSER (Selected Papers), 2020)

Toward an End-to-End Auto-tuning Framework in HPC PowerStack. - Xingfu Wu; Aniruddha Marathe; Siddhartha Jana; Ondrej Vysocky; Jophin John; Andrea Bartolini; Lubomir Riha; Michael Gerndt; Valerie Taylor 001; Sridutt Bhalachandra (CLUSTER, 2020)

Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. - Mohak Chadha; Jophin John; Michael Gerndt (HiPC, 2020)

Exploiting Dynamism in HPC Applications to Optimize Energy-Efficiency. - Madhura Kumaraswamy; Michael Gerndt (ICPP Workshops, 2020)

Online Memory Leak Detection in the Cloud-Based Infrastructures. - Anshul Jindal; Paul Staab; Jorge Cardoso 001; Michael Gerndt; Vladimir Podolskiy (ICSOC Workshops, 2020)

A Systematic Mapping Study in AIOps. - Paolo Notaro; Jorge Cardoso 001; Michael Gerndt (ICSOC Workshops, 2020)

Automatic Selection of Tuning Plugins in PTF Using Machine Learning. - Robert Mijakovic; Michael Gerndt (IPDPS Workshops, 2020)

Towards Federated Learning using FaaS Fabric. - Mohak Chadha; Anshul Jindal; Michael Gerndt (WOSC@Middleware, 2020)

Windsurfing with APPA: Automating Computational Fluid Dynamics Simulations of Wind Flow using Cloud Computing. - Anshul Jindal; Benedikt Strahm; Vladimir Podolskiy; Michael Gerndt (PDP, 2020)

Self-Adaptive Data Processing to Improve SLOs for Dynamic IoT Workloads. - Peeranut Chindanonda; Vladimir Podolskiy; Michael Gerndt (Comput., 2020)

Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. - Mohak Chadha; Anshul Jindal; Michael Gerndt (CLOUD, 2021)

Towards Autoscaling with Guarantees on Kubernetes Clusters. - Stephen Burroughs; Helge Dickel; Martin van Zijl; Vladimir Podolskiy; Michael Gerndt; Robi Malik; Panos Patros (ACSOS-C, 2021)

FedLess: Secure and Scalable Federated Learning Using Serverless Computing. - Andreas Grafberger; Mohak Chadha; Anshul Jindal; Jianfeng Gu; Michael Gerndt (IEEE BigData, 2021)

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. - Stephan Patrick Baller; Anshul Jindal; Mohak Chadha; Michael Gerndt (IC2E, 2021)

Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing. - Anshul Jindal; Mohak Chadha; Michael Gerndt; Julian Frielinghaus; Vladimir Podolskiy; Pengfei Chen 002 (ICDCS, 2021)

IAD: Indirect Anomalous VMMs Detection in the Cloud-Based Environment. - Anshul Jindal; Ilya Shakhat; Jorge Cardoso 001; Michael Gerndt; Vladimir Podolskiy (ICSOC Workshops, 2021)

Towards Demystifying Intra-Function Parallelism in Serverless Computing. - Michael Kiener; Mohak Chadha; Michael Gerndt (WOSC@Middleware, 2021)

Consistent Resource Utilization for Cross-Platform and Replicable Load-Testing: a Position Paper. - Harry McCarthy; Vladimir Podolskiy; Michael Gerndt; Panos Patros (MoDELS (Companion), 2021)

Estimating the capacities of function-as-a-service functions. - Anshul Jindal; Mohak Chadha; Shajulin Benedict; Michael Gerndt (UCC Companion, 2021)

Courier: delivering serverless functions within heterogeneous FaaS deployments. - Anshul Jindal; Julian Frielinghaus; Mohak Chadha; Michael Gerndt (UCC, 2021)

Memory Leak Detection Algorithms in the Cloud-based Infrastructure. - Anshul Jindal; Paul Staab; Pooja Kulkarni; Jorge Cardoso 001; Michael Gerndt; Vladimir Podolskiy (CoRR, 2021)

Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441). - Michael Gerndt; Masaaki Kondo; Barton P. Miller; Tapasya Patki (Dagstuhl Reports, 2021)

Function delivery network: Extending serverless computing for heterogeneous platforms. - Anshul Jindal; Michael Gerndt; Mohak Chadha; Vladimir Podolskiy; Pengfei Chen 002 (Softw. Pract. Exp., 2021)

A Survey of AIOps Methods for Failure Management. - Paolo Notaro; Jorge Cardoso 001; Michael Gerndt (ACM Trans. Intell. Syst. Technol., 2021)

SLAM: SLO-Aware Memory Optimization for Serverless Applications. - Gor Safaryan; Anshul Jindal; Mohak Chadha; Michael Gerndt (CLOUD, 2022)

FedLesScan: Mitigating Stragglers in Serverless Federated Learning. - Mohamed Elzohairy; Mohak Chadha; Anshul Jindal; Andreas Grafberger; Jianfeng Gu; Michael Gerndt; Osama Abboud (IEEE Big Data, 2022)

Scalable Infrastructure for Workload Characterization of Cluster Traces. - Thomas van Loo; Anshul Jindal; Shajulin Benedict; Mohak Chadha; Michael Gerndt (CLOSER, 2022)

MAFF: Self-adaptive Memory Optimization for Serverless Functions. - Tetiana Zubko; Anshul Jindal; Mohak Chadha; Michael Gerndt (ESOCC, 2022)

FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters. - Christopher Peter Smith; Anshul Jindal; Mohak Chadha; Michael Gerndt; Shajulin Benedict (ICFEC, 2022)

iCheck: Leveraging RDMA and Malleability for Application-Level Checkpointing in HPC Systems. - Jophin John; Isaac David Núñez Araya; Michael Gerndt (ICPADS, 2022)

Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes. - Christoph Reile; Mohak Chadha; Valentin Hauner; Anshul Jindal; Benjamin Hofmann; Michael Gerndt (SANER, 2022)

Migrating from microservices to serverless: an IoT platform case study. - Mohak Chadha; Victor Pacyna; Anshul Jindal; Jianfeng Gu; Michael Gerndt (WOSC@Middleware, 2022)

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes. - Markus Steinbach; Anshul Jindal; Mohak Chadha; Michael Gerndt; Shajulin Benedict (IEEE Access, 2022)

Designing an Adaptive Application-Level Checkpoint Management System for Malleable MPI Applications. - Jophin John; Michael Gerndt (CoRR, 2022)

An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. - Paolo Notaro; Qiao Yu; Soroush Haeri; Jorge Cardoso 001; Michael Gerndt (CCGrid, 2023)

FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. - Jianfeng Gu; Yichao Zhu; Puxuan Wang; Mohak Chadha; Michael Gerndt (ICPP, 2023)

Exploring the Use of WebAssembly in HPC. - Mohak Chadha; Nils Krueger; Jophin John; Anshul Jindal; Michael Gerndt; Shajulin Benedict (PPoPP, 2023)

Sustainability in HPC: Vision and Opportunities. - Mohak Chadha; Eishi Arima; Amir Raoofy; Michael Gerndt; Martin Schulz 001 (SC Workshops, 2023)

GreenCourier: Carbon-Aware Scheduling for Serverless Functions. - Mohak Chadha; Thandayuthapani Subramanian; Eishi Arima; Michael Gerndt; Martin Schulz 001; Osama Abboud (WOSC@Middleware, 2023)

LogRule: Efficient Structured Log Mining for Root Cause Analysis. - Paolo Notaro; Soroush Haeri; Jorge Cardoso 001; Michael Gerndt (IEEE Trans. Netw. Serv. Manag., 2023)

Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. - Mohak Chadha; Alexander Jensen; Jianfeng Gu; Osama Abboud; Michael Gerndt (CCGrid, 2024)

Economy-based Greedy Bidding for Resources for CAE Workflows in Hybrid Cloud Infrastructure. - Srishti Dasgupta; Tähvend Uustalu; Michael Gerndt; Babak Gholami (e-Science, 2024)

Elastic Workflows in Hybrid Cloud for CAE Simulations. - Srishti Dasgupta; Michael Gerndt; Babak Gholami (IC2E, 2024)

Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. - Mohak Chadha; Pulkit Khera; Jianfeng Gu; Osama Abboud; Michael Gerndt (SAC, 2024)

gFaaS: Enabling Generic Functions in Serverless Computing. - Mohak Chadha; Paul Wieland; Michael Gerndt (SANER, 2024)

Command-line Risk Classification using Transformer-based Neural Architectures. - Paolo Notaro; Soroush Haeri; Jorge Cardoso 001; Michael Gerndt (CoRR, 2024)

HAS-GPU: Efficient Hybrid Auto-scaling with Fine-Grained GPU Allocation for SLO-Aware Serverless Inferences. - Jianfeng Gu; Puxuan Wang; Isaac David Núñez Araya; Kai Huang; Michael Gerndt (Euro-Par (1), 2025)

Serverless IoT Framework. - Isaac David Núñez Araya; Michael Gerndt; Shajulin Benedict (IPDPS (Workshops), 2025)

VersaSlot: Efficient Fine-grained FPGA Sharing with Big.Little Slots and Live Migration in FPGA Cluster. - Jianfeng Gu; Hao Wang; Xiaorang Guo; Martin Schulz 001; Michael Gerndt (CoRR, 2025)

HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences. - Jianfeng Gu; Puxuan Wang; Isaac Nunezand; Kai Huang; Michael Gerndt (CoRR, 2025)