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ORCIDMichael Gerndt
Hans Michael Gerndt
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- affiliation: Department of Informatics, Technische Universität München
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Books and Theses
- 1989
[b1]Hans Michael Gerndt:
Automatic parallelization for distributed-memory multiprocessing systems. University of Bonn, Germany, 1989
Journal Articles
- 2023
- [j34]Paolo Notaro
, Soroush Haeri, Jorge Cardoso, Michael Gerndt:
LogRule: Efficient Structured Log Mining for Root Cause Analysis. IEEE Trans. Netw. Serv. Manag. 20(4): 4231-4243 (2023) - 2022
- [j33]Markus Steinbach, Anshul Jindal, Mohak Chadha, Michael Gerndt, Shajulin Benedict:
TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes. IEEE Access 10: 9059-9084 (2022) - 2021
- [j32]Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen:
Function delivery network: Extending serverless computing for heterogeneous platforms. Softw. Pract. Exp. 51(9): 1936-1963 (2021) - [j31]Paolo Notaro, Jorge Cardoso, Michael Gerndt:
A Survey of AIOps Methods for Failure Management. ACM Trans. Intell. Syst. Technol. 12(6): 81:1-81:45 (2021) - 2020
- [j30]Peeranut Chindanonda, Vladimir Podolskiy, Michael Gerndt:
Self-Adaptive Data Processing to Improve SLOs for Dynamic IoT Workloads. Comput. 9(1): 12 (2020) - 2019
- [j29]Vladimir Podolskiy, Anshul Jindal, Michael Gerndt:
Multilayered Autoscaling Performance Evaluation: Can Virtual Machines and Containers Co-Scale? Int. J. Appl. Math. Comput. Sci. 29(2): 227-244 (2019) - [j28]Madhura Kumaraswamy, Anamika Chowdhury, Michael Gerndt, Zakaria Bendifallah, Othman Bouizi, Uldis Locans, Lubomír Ríha, Ondrej Vysocky, Martin Beseda, Jan Zapletal:
Domain knowledge specification for energy tuning. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j27]Shajulin Benedict, Michael Gerndt:
Introduction to the Special Issue on IoT Cloud Solutions for Societal Applications. Scalable Comput. Pract. Exp. 20(3): iii (2019) - 2018
- [j26]Ankur Bhatia, Michael Gerndt, Jorge Cardoso:
Efficient Failure Diagnosis of OpenStack Using Tempest. IEEE Internet Comput. 22(6): 61-70 (2018) - [j25]Michael Gerndt, Siegfried Benkner, Eduardo César, Carmen B. Navarrete, Enes Bajrovic, Jirí Dokulil, Carla Guillén, Robert Mijakovic, Anna Sikora:
A multi-aspect online tuning framework for HPC applications. Softw. Qual. J. 26(3): 1063-1096 (2018) - 2017
- [j24]Shajulin Benedict, Michael Gerndt, Siegfried Benkner:
Special issue on energy reduction techniques for exa-scale computing: theory and practice. Computing 99(8): 725-726 (2017) - [j23]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, Othman Bouizi, Umbreen Sabir Mian, Jakub Kruzík, Radim Sojka, Martin Beseda, Venkatesh Kannan, Zakaria Bendifallah, Daniel Hackenberg, Wolfgang E. Nagel:
The READEX formalism for automatic tuning for energy efficiency. Computing 99(8): 727-745 (2017) - 2016
- [j22]Weifeng Liu, Michael Gerndt, Bin Gong:
Model-based MPI-IO tuning with Periscope tuning framework. Concurr. Comput. Pract. Exp. 28(1): 3-20 (2016) - [j21]Khadija Akherfi, Hamid Harroud, Michael Gerndt:
A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability. Int. J. Adapt. Resilient Auton. Syst. 7(1): 41-58 (2016) - [j20]Stefan Wildermann, Michael Bader, Lars Bauer, Marvin Damschen, Dirk Gabriel, Michael Gerndt, Michael Glaß, Jörg Henkel, Johny Paul, Alexander Pöppl, Sascha Roloff, Tobias Schwarzer, Gregor Snelting, Walter Stechele, Jürgen Teich, Andreas Weichslgartner, Andreas Zwinkau:
Invasive computing for timing-predictable stream processing on MPSoCs. it Inf. Technol. 58(6): 267-280 (2016) - 2014
- [j19]Shajulin Benedict, Michael Gerndt:
Scalability and Performance Analysis of OpenMP Codes Using the Periscope Toolkit. Comput. Informatics 33(4): 921-942 (2014) - [j18]Siegfried Benkner, Franz Franchetti, Hans Michael Gerndt, Jeffrey K. Hollingsworth:
Special issue on automatic application tuning for HPC architectures. Sci. Program. 22(4): 259-260 (2014) - [j17]Grigori Fursin, Renato Miceli, Anton Lokhmotov, Michael Gerndt, Marc Baboulin, Allen D. Malony, Zbigniew Chamski, Diego Novillo, Davide Del Vento:
Collective mind: Towards practical and collaborative auto-tuning. Sci. Program. 22(4): 309-329 (2014) - 2011
- [j16]Houssam Haitof, Alexander Krivutsenko, Michael Gerndt:
Semantic-based document management system. Int. J. Reason. based Intell. Syst. 3(3/4): 140-146 (2011) - 2010
- [j15]Dieter Kranzlmüller, Henri Casanova, Michael Gerndt, Michael Schiffers:
Preface. Clust. Comput. 13(3): 241-242 (2010) - [j14]Michael Gerndt, Barton P. Miller:
Special Issue: Scalable Tools for High-end Computing. Concurr. Comput. Pract. Exp. 22(6): 683-684 (2010) - [j13]Michael Gerndt, Michael Ott:
Automatic performance analysis with periscope. Concurr. Comput. Pract. Exp. 22(6): 736-748 (2010) - 2007
- [j12]Michael Gerndt, John R. Gurd:
Special Issue: European-American Working Group on Automatic Performance Analysis (APART). Concurr. Comput. Pract. Exp. 19(11): 1447-1449 (2007) - [j11]Michael Gerndt, Karl Fürlinger:
Specification and detection of performance problems with ASL. Concurr. Comput. Pract. Exp. 19(11): 1451-1464 (2007) - [j10]Michael Gerndt, Bernd Mohr, Jesper Larsson Träff:
A test suite for parallel performance analysis tools. Concurr. Comput. Pract. Exp. 19(11): 1465-1480 (2007) - 2005
- [j9]Michael Gerndt:
Automatic performance analysis tools for the Grid. Concurr. Pract. Exp. 17(2-4): 99-115 (2005) - [j8]Thomas Brandes, Helmut Schwamborn, Michael Gerndt, Jürgen Jeitner, Edmond Kereku, Martin Schulz, Holger Brunst, Wolfgang E. Nagel, Reinhard Neumann, Ralph Müller-Pfefferkorn, Bernd Trenkler, Wolfgang Karl, Jie Tao, Hans-Christian Hoppe:
Monitoring cache behavior on parallel SMP architectures and related programming tools. Future Gener. Comput. Syst. 21(8): 1298-1311 (2005) - 2002
- [j7]Michael Gerndt:
Guest-Editorial: PADDA 2001. Sci. Program. 10(1): 1-2 (2002) - 1998
- [j6]Michael Gerndt:
High-Level Programming of Massively Parallel Computers Based on Shared Virtual Memory. Parallel Comput. 24(3-4): 383-400 (1998) - 1996
- [j5]Rudolf Berrendorf, Michael Gerndt, Andreas Krumme, Selçuk Özmen:
SVM-Fortran: Eine Programmierumgebung für massiv-parallele Rechner. Prax. Inf.verarb. Kommun. 19(3): 142-147 (1996) - 1990
- [j4]Michael Gerndt:
Updating Distributed Variables in Local Computations. Concurr. Pract. Exp. 2(3): 171-193 (1990) - [j3]Michael Gerndt, Clemens-August Thole, Ulrich Trottenberg, Hans P. Zima:
Parallelisierung auf SUPRENUM. Inform. Spektrum 13(5): 247-259 (1990) - 1988
- [j2]Hans P. Zima, Heinz-J. Bast, Michael Gerndt:
SUPERB: A tool for semi-automatic MIMD/SIMD parallelization. Parallel Comput. 6(1): 1-18 (1988) - [j1]Ulrich Kremer, Heinz-J. Bast, Michael Gerndt, Hans P. Zima:
Advanced tools and techniques for automatic parallelization. Parallel Comput. 7(3): 387-393 (1988)
Conference and Workshop Papers
- 2024
- [c149]Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. CCGrid 2024: 206-215 - [c148]Srishti Dasgupta, Tähvend Uustalu, Michael Gerndt, Babak Gholami:
Economy-based Greedy Bidding for Resources for CAE Workflows in Hybrid Cloud Infrastructure. e-Science 2024: 1-7 - [c147]Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. SAC 2024: 997-1006 - [c146]Mohak Chadha, Paul Wieland, Michael Gerndt:
gFaaS: Enabling Generic Functions in Serverless Computing. SANER 2024: 57-61 - 2023
- [c145]Paolo Notaro, Qiao Yu, Soroush Haeri, Jorge Cardoso, Michael Gerndt:
An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. CCGrid 2023: 1-12 - [c144]Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. ICPP 2023: 635-644 - [c143]Mohak Chadha, Nils Krueger, Jophin John, Anshul Jindal, Michael Gerndt, Shajulin Benedict:
Exploring the Use of WebAssembly in HPC. PPoPP 2023: 92-106 - [c142]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - [c141]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. WOSC@Middleware 2023: 18-23 - 2022
- [c140]Gor Safaryan, Anshul Jindal, Mohak Chadha, Michael Gerndt:
SLAM: SLO-Aware Memory Optimization for Serverless Applications. CLOUD 2022: 30-39 - [c139]Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. IEEE Big Data 2022: 1230-1237 - [c138]Thomas van Loo, Anshul Jindal, Shajulin Benedict, Mohak Chadha, Michael Gerndt:
Scalable Infrastructure for Workload Characterization of Cluster Traces. CLOSER 2022: 254-263 - [c137]Tetiana Zubko, Anshul Jindal, Mohak Chadha, Michael Gerndt:
MAFF: Self-adaptive Memory Optimization for Serverless Functions. ESOCC 2022: 137-154 - [c136]Christopher Peter Smith, Anshul Jindal, Mohak Chadha, Michael Gerndt, Shajulin Benedict:
FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters. ICFEC 2022: 17-25 - [c135]Jophin John, Isaac David Núñez Araya, Michael Gerndt:
iCheck: Leveraging RDMA and Malleability for Application-Level Checkpointing in HPC Systems. ICPADS 2022: 467-474 - [c134]Christoph Reile, Mohak Chadha, Valentin Hauner, Anshul Jindal, Benjamin Hofmann, Michael Gerndt:
Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes. SANER 2022: 459-463 - [c133]Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
Migrating from microservices to serverless: an IoT platform case study. WOSC@Middleware 2022: 19-24 - 2021
- [c132]Mohak Chadha, Anshul Jindal, Michael Gerndt:
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. CLOUD 2021: 478-483 - [c131]Stephen Burroughs, Helge Dickel, Martin van Zijl, Vladimir Podolskiy, Michael Gerndt, Robi Malik, Panos Patros:
Towards Autoscaling with Guarantees on Kubernetes Clusters. ACSOS-C 2021: 295-296 - [c130]Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. IEEE BigData 2021: 164-173 - [c129]Stephan Patrick Baller, Anshul Jindal, Mohak Chadha, Michael Gerndt:
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. IC2E 2021: 20-30 - [c128]Anshul Jindal, Mohak Chadha, Michael Gerndt, Julian Frielinghaus, Vladimir Podolskiy, Pengfei Chen:
Poster: Function Delivery Network: Extending Serverless to Heterogeneous Computing. ICDCS 2021: 1128-1129 - [c127]Anshul Jindal, Ilya Shakhat, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
IAD: Indirect Anomalous VMMs Detection in the Cloud-Based Environment. ICSOC Workshops 2021: 190-201 - [c126]Michael Kiener, Mohak Chadha, Michael Gerndt:
Towards Demystifying Intra-Function Parallelism in Serverless Computing. WOSC@Middleware 2021: 42-49 - [c125]Harry McCarthy, Vladimir Podolskiy, Michael Gerndt, Panos Patros:
Consistent Resource Utilization for Cross-Platform and Replicable Load-Testing: a Position Paper. MoDELS (Companion) 2021: 203-209 - [c124]Anshul Jindal, Julian Frielinghaus, Mohak Chadha, Michael Gerndt:
Courier: delivering serverless functions within heterogeneous FaaS deployments. UCC 2021: 11:1-11:10 - [c123]Anshul Jindal, Mohak Chadha, Shajulin Benedict, Michael Gerndt:
Estimating the capacities of function-as-a-service functions. UCC Companion 2021: 19:1-19:8 - 2020
- [c122]Vladimir Podolskiy, Maria Patrou, Panos Patros, Michael Gerndt, Kenneth B. Kent:
The weakest link: revealing and modeling the architectural patterns of microservice applications. CASCON 2020: 113-122 - [c121]Anshul Jindal, Michael Gerndt:
From DevOps to NoOps: Is It Worth It? CLOSER (Selected Papers) 2020: 178-202 - [c120]Chen-Fu Fan, Anshul Jindal, Michael Gerndt:
Microservices vs Serverless: A Performance Comparison on a Cloud-native Web Application. CLOSER 2020: 204-215 - [c119]Lennart Espe, Anshul Jindal, Vladimir Podolskiy, Michael Gerndt:
Performance Evaluation of Container Runtimes. CLOSER 2020: 273-281 - [c118]Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CLUSTER 2020: 473-483 - [c117]Mohak Chadha, Jophin John, Michael Gerndt:
Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. HiPC 2020: 223-232 - [c116]Madhura Kumaraswamy, Michael Gerndt:
Exploiting Dynamism in HPC Applications to Optimize Energy-Efficiency. ICPP Workshops 2020: 9:1-9:10 - [c115]Paolo Notaro, Jorge Cardoso, Michael Gerndt:
A Systematic Mapping Study in AIOps. ICSOC Workshops 2020: 110-123 - [c114]Anshul Jindal, Paul Staab, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
Online Memory Leak Detection in the Cloud-Based Infrastructures. ICSOC Workshops 2020: 188-200 - [c113]Robert Mijakovic, Michael Gerndt:
Automatic Selection of Tuning Plugins in PTF Using Machine Learning. IPDPS Workshops 2020: 349-358 - [c112]Mohak Chadha, Anshul Jindal, Michael Gerndt:
Towards Federated Learning using FaaS Fabric. WOSC@Middleware 2020: 49-54 - [c111]Anshul Jindal, Benedikt Strahm, Vladimir Podolskiy, Michael Gerndt:
Windsurfing with APPA: Automating Computational Fluid Dynamics Simulations of Wind Flow using Cloud Computing. PDP 2020: 400-407 - 2019
- [c110]Yesika M. Ramírez, Vladimir Podolskiy, Michael Gerndt:
Capacity-Driven Scaling Schedules Derivation for Coordinated Elasticity of Containers and Virtual Machines. ICAC 2019: 177-186 - [c109]Mohak Chadha, Michael Gerndt:
Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. IPDPS 2019: 805-814 - [c108]Jophin John, Santiago Narváez, Michael Gerndt:
Invasive Computing for Power Corridor Management. PARCO 2019: 386-395 - [c107]Vladimir Podolskiy, Michael Mayo, Abigail M. Y. Koay, Michael Gerndt, Panos Patros:
Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing. SASO 2019: 72-81 - [c106]Peeranut Chindanonda, Vladimir Podolskiy, Michael Gerndt:
Metrics for Self-Adaptive Queuing in Middleware for Internet of Things. FAS*W@SASO/ICAC 2019: 130-133 - [c105]Helge Dickel, Vladimir Podolskiy, Michael Gerndt:
Evaluation of Autoscaling Metrics for (stateful) IoT Gateways. SOCA 2019: 17-24 - [c104]Jeeta Ann Chacko, Isaías A. Comprés Ureña, Michael Gerndt:
Integration of Apache Spark with Invasive Resource Manager. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1553-1560 - [c103]Anshul Jindal, Vladimir Podolskiy, Michael Gerndt:
Performance Modeling for Cloud Microservice Applications. ICPE 2019: 25-32 - 2018
- [c102]Vladimir Podolskiy, Anshul Jindal, Michael Gerndt:
IaaS Reactive Autoscaling Performance Challenges. IEEE CLOUD 2018: 954-957 - [c101]Vladimir Podolskiy, Yesika M. Ramírez, Atakan Yenel, Shumail Mohyuddin, Hakan Uyumaz, Ali Naci Uysal, Moawiah Assali, Sergei Drugalev, Michael Gerndt, Matthias Friessnig, Anastasia Myasnichenko:
Practical Education in IoT through Collaborative Work on Open-Source Projects with Industry and Entrepreneurial Organizations. FIE 2018: 1-9 - [c100]Andreas Wilhelm, Faris Cakaric, Michael Gerndt, Tobias Schuele:
Tool-based interactive software parallelization: a case study. ICSE (SEIP) 2018: 115-123 - [c99]Vladimir Podolskiy, Anshul Jindal, Michael Gerndt, Yury Oleynik:
Forecasting Models for Self-Adaptive Cloud Applications: A Comparative Study. SASO 2018: 40-49 - [c98]Anshul Jindal, Vladimir Podolskiy, Michael Gerndt:
Autoscaling Performance Measurement Tool. ICPE Companion 2018: 91-92 - 2017
- [c97]Ao Mo-Hellenbrand, Isaías A. Comprés Ureña, Oliver Meister, Hans-Joachim Bungartz, Michael Gerndt, Michael Bader:
A Large-Scale Malleable Tsunami Simulation Realized on an Elastic MPI Infrastructure. Conf. Computing Frontiers 2017: 271-274 - [c96]Per Gunnar Kjeldsberg, Andreas Gocht, Michael Gerndt, Lubomir Riha, Joseph Schuchart, Umbreen Sabir Mian:
READEX: Linking two ends of the computing continuum to improve energy-efficiency in dynamic applications. DATE 2017: 109-114 - [c95]Vladimir Podolskiy, Hans Michael Gerndt, Shajulin Benedict:
QoS-based Cloud Application Management: Approach and Architecture. CCB@EuroSys 2017: 7:1-7:2 - [c94]Anamika Chowdhury, Madhura Kumaraswamy, Michael Gerndt:
READEX Tool Suite for Energy-efficiency Tuning of HPC Applications. SEM4HPC@HPDC 2017: 11-12 - [c93]Madhura Kumaraswamy, Anamika Chowdhury, Michael Gerndt:
Design-Time Analysis for the READEX Tool Suite. PARCO 2017: 307-316 - [c92]Anshul Jindal, Vladimir Podolskiy, Michael Gerndt:
Multilayered Cloud Applications Autoscaling Performance Estimation. SC² 2017: 24-31 - 2016
- [c91]Haowei Huang, Liehui Jiang, Weiyu Dong, Rui Chang, Yifan Hou, Michael Gerndt:
A Fine-Granular Programming Scheme for Irregular Scientific Applications. ACA 2016: 130-141 - [c90]Mohamed Riduan Abid, Karima Kaddouri, Kevin Smith, Moulay Idriss El Ouadghiri, Michael Gerndt:
Virtual Machines' Load-Balancing in Inter-clouds. FiCloud Workshops 2016: 109-116 - [c89]Enes Bajrovic, Robert Mijakovic, Jirí Dokulil, Siegfried Benkner, Michael Gerndt:
Tuning OpenCL Applications with the Periscope Tuning Framework. HICSS 2016: 5752-5761 - [c88]Michael Gerndt:
The READEX Project for Dynamic Energy Efficiency Tuning. SEM4HPC@HPDC 2016: 11-12 - [c87]Anna Sikora, Eduardo César, Isaías A. Comprés Ureña, Michael Gerndt:
Autotuning of MPI Applications Using PTF. SEM4HPC@HPDC 2016: 31-38 - [c86]Robert Mijakovic, Michael Firbach, Michael Gerndt:
An architecture for flexible auto-tuning: The Periscope Tuning Framework 2.0. ICGHPC 2016: 1-9 - [c85]Isaías A. Comprés Ureña, Ao Mo-Hellenbrand, Michael Gerndt, Hans-Joachim Bungartz:
Infrastructure and API Extensions for Elastic Execution of MPI Applications. EuroMPI 2016: 82-97 - [c84]Andreas Wilhelm, Victor Savu, Efe Amadasun, Michael Gerndt, Tobias Schuele:
A Visualization Framework for Parallelization. VISSOFT 2016: 81-85 - [c83]Roberto Camacho Barranco, Patricia J. Teller, Michael Gerndt:
Minimization of Xeon Phi Core Use with Negligible Execution Time Impact. XSEDE 2016: 16:1-16:8 - 2015
- [c82]Yury Oleynik, Michael Gerndt, Joseph Schuchart, Per Gunnar Kjeldsberg, Wolfgang E. Nagel:
Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX). CSE 2015: 347-350 - [c81]Andreas Wilhelm, Bharatkumar Sharma, Ranajoy Malakar, Tobias Schüle, Michael Gerndt:
Parceive: Interactive parallelization based on dynamic analysis. PCODA@SANER 2015: 1-6 - 2014
- [c80]Khadija Akherfi, Hamid Harroud, Michael Gerndt:
A mobile cloud middleware to support mobility and cloud interoperability. ICMCS 2014: 1189-1194 - [c79]Weifeng Liu, Isaías A. Comprés Ureña, Michael Gerndt, Bin Gong:
Automatic MPI-IO Tuning with the Periscope Tuning Framework. IPDPS Workshops 2014: 352-360 - [c78]Nacer Khalil, Mohamed Riduan Abid, Driss Benhaddou, Michael Gerndt:
Wireless sensors networks for Internet of Things. ISSNIP 2014: 1-6 - 2013
- [c77]Adolfy Hoisie, Michael Gerndt, Shajulin Benedict, Thomas Fahringer, Vladimir Getov, Scott Pakin:
Topic 2: Performance Prediction and Evaluation - (Introduction). Euro-Par 2013: 28 - [c76]Yury Oleynik, Michael Gerndt, Andrés I. Ávila:
A Data Model for Performance Dynamics Exploration. HPCC/EUC 2013: 714-720 - [c75]Ventsislav Petkov, Michael Gerndt, Michael Firbach:
PAThWay: Performance Analysis and Tuning Using Workflows. HPCC/EUC 2013: 792-799 - [c74]Mohamed Riduan Abid, Saad Bahri, Hachim Haddouti, Michael Gerndt:
c-gov: e-gov services on the cloud for African rural communities. ICEGOV 2013: 356-357 - [c73]Shajulin Benedict, Michael Gerndt, Diana-Mihaela Gudu:
Formalizing Bottlenecks in Task-Based OpenMP Applications. PARCO 2013: 103-112 - [c72]Robert Mijakovic, Antonio Pimenta Soto, Isaías A. Comprés Ureña, Michael Gerndt, Anna Sikora, Eduardo César:
Specification of Periscope Tuning Framework Plugins. PARCO 2013: 123-132 - [c71]Siegfried Benkner, Matthias Brehm, Michael Gerndt, Wolfram Hesse, Anna Sikora:
Mini-Symposium on Application Autotuning for HPC. PARCO 2013: 615-615 - [c70]Yury Oleynik, Robert Mijakovic, Isaías A. Comprés Ureña, Michael Firbach, Michael Gerndt:
Recent Advances in Periscope for Performance Analysis and Tuning. Parallel Tools Workshop 2013: 39-51 - 2012
- [c69]Isaías A. Comprés Ureña, Michael Riepen, Michael Konow, Michael Gerndt:
Invasive MPI on Intel's Single-Chip Cloud Computer. ARCS 2012: 74-85 - [c68]Michael Gerndt, Frank Hannig, Andreas Herkersdorf, Andreas Hollmann, Marcel Meyer, Sascha Roloff, Josef Weidendorfer, Thomas Wild, Aurang Zaib:
An integrated simulation framework for invasive computing. FDL 2012: 209-216 - [c67]Michael Gerndt, Andreas Hollmann, Marcel Meyer, Martin Schreiber, Josef Weidendorfer:
Invasive computing with iOMP. FDL 2012: 225-231 - [c66]Andreas Hollmann, Michael Gerndt:
Invasive Computing: An Application Assisted Resource Management Approach. MSEPT 2012: 82-85 - [c65]Renato Miceli, Gilles Civario, Anna Sikora, Eduardo César, Michael Gerndt, Houssam Haitof, Carmen B. Navarrete, Siegfried Benkner, Martin Sandrieser, Laurent Morin, François Bodin:
AutoTune: A Plugin-Driven Approach to the Automatic Tuning of Parallel Applications. PARA 2012: 328-342 - [c64]Markus Geimer, Michael Gerndt, Sameer Shende, Bert Wesarg, Brian J. N. Wylie:
Hands-on Practical Hybrid Parallel Application Performance Engineering. EuroMPI 2012: 15 - [c63]Isaías A. Comprés Ureña, Michael Gerndt, Carsten Trinitis:
Wait-Free Message Passing Protocol for Non-coherent Shared Memory Architectures. EuroMPI 2012: 142-152 - 2011
- [c62]Michael Gerndt:
PROPER 2011: Fourth Workshop on Productivity and Performance Tools for HPC Application Development. Euro-Par Workshops (2) 2011: 135 - [c61]Yury Oleynik, Michael Gerndt:
Scalable Automatic Performance Analysis on IBM BlueGene/P Systems. Euro-Par Workshops (2) 2011: 146-155 - [c60]Andreas Knüpfer, Christian Rössel, Dieter an Mey, Scott Biersdorff, Kai Diethelm, Dominic Eschweiler, Markus Geimer, Michael Gerndt, Daniel Lorenz, Allen D. Malony, Wolfgang E. Nagel, Yury Oleynik, Peter Philippen, Pavel Saviankou, Dirk Schmidl, Sameer Shende, Ronny Tschüter, Michael Wagner, Bert Wesarg, Felix Wolf:
Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir. Parallel Tools Workshop 2011: 79-91 - 2010
- [c59]Dieter an Mey, Scott Biersdorff, Christian H. Bischof, Kai Diethelm, Dominic Eschweiler, Michael Gerndt, Andreas Knüpfer, Daniel Lorenz, Allen D. Malony, Wolfgang E. Nagel, Yury Oleynik, Christian Rössel, Pavel Saviankou, Dirk Schmidl, Sameer Shende, Michael Wagner, Bert Wesarg, Felix Wolf:
Score-P: A Unified Performance Measurement System for Petascale Applications. CHPC 2010: 85-97 - [c58]Omer F. Rana, Giandomenico Spezzano, Michael Gerndt, Daniel S. Katz:
Distributed Systems and Algorithms. Euro-Par (1) 2010: 1 - [c57]Ventsislav Petkov, Michael Gerndt:
Integrating parallel application development with performance analysis in periscope. IPDPS Workshops 2010: 1-8 - [c56]Shajulin Benedict, Michael Gerndt:
Automatic Performance Analysis of OpenMP Codes on a Scalable Shared Memory System Using Periscope. PARA (2) 2010: 452-462 - 2009
- [c55]Houssam Haitof, Hans-Dieter Wehle, Michael Gerndt:
FinGrid Accounting and Billing. BPSC 2009: 167-178 - [c54]Shajulin Benedict, Matthias Brehm, Michael Gerndt, Carla Guillén, Wolfram Hesse, Ventsislav Petkov:
Automatic Performance Analysis of Large Scale Simulations. Euro-Par Workshops 2009: 199-207 - [c53]Shajulin Benedict, Ventsislav Petkov, Michael Gerndt:
PERISCOPE: An Online-Based Distributed Performance Analysis Tool. Parallel Tools Workshop 2009: 1-16 - 2008
- [c52]Francisco Almeida, Michael Gerndt, Adolfy Hoisie, Martin Schulz:
Topic 2: Performance Prediction and Evaluation. Euro-Par 2008: 89 - 2007
- [c51]Karl Fürlinger, Michael Gerndt, Jack J. Dongarra:
On Using Incremental Profiling for the Performance Analysis of Shared Memory Parallel Applications. Euro-Par 2007: 62-71 - [c50]Michael Gerndt, Edmond Kereku:
Search Strategies for Automatic Performance Analysis Tools. Euro-Par 2007: 129-138 - [c49]Karl Fürlinger, Michael Gerndt, Jack J. Dongarra:
Scalability Analysis of the SPEC OpenMP Benchmarks on Large-Scale Shared Memory Multiprocessors. International Conference on Computational Science (2) 2007: 815-822 - [c48]Michael Gerndt, Edmond Kereku:
Automatic Memory Access Analysis with Periscope. International Conference on Computational Science (2) 2007: 847-854 - [c47]Michael Gerndt, Sebastian Strohhäcker:
Distribution of Periscope Analysis Agents on ALTIX 4700. PARCO 2007: 113-120 - 2006
- [c46]Karl Fürlinger, Michael Gerndt:
Finding Inefficiencies in OpenMP Applications Automatically with Periscope. International Conference on Computational Science (2) 2006: 494-501 - [c45]Edmond Kereku, Michael Gerndt:
The monitoring request interface (MRI). IPDPS 2006 - [c44]Karl Fürlinger, Michael Gerndt:
Automated Performance Analysis Using ASL Performance Properties. PARA 2006: 390-397 - [c43]Edmond Kereku, Michael Gerndt:
Automatic Monitoring of Memory Hierarchies in Threaded Applications with AMEBA. PARA 2006: 420-429 - [c42]Karl Fürlinger, Michael Gerndt:
Analyzing Overheads and Scalability Characteristics of OpenMP Applications. VECPAR 2006: 39-51 - 2005
- [c41]Tianchao Li, Michael Gerndt:
Performance Cockpit: An Extensible GUI Platform for Performance Tools. Euro-Par 2005: 104-113 - [c40]Karl Fürlinger, Michael Gerndt:
Performance Analysis of Shared-Memory Parallel Applications Using Performance Properties. HPCC 2005: 595-604 - [c39]Michael Gerndt, Tianchao Li:
Automated Analysis of Memory Access Behavior. IPDPS 2005 - [c38]Karl Fürlinger, Michael Gerndt:
: A Profiling Tool for OpenMP. IWOMP 2005: 15-23 - [c37]Tianchao Li, Michael Gerndt:
SMART: A Simulation Tool for Analyzing Cache Access Behavior on SMPs. MASCOTS 2005: 525-528 - [c36]Michael Gerndt, Karl Fürlinger, Edmond Kereku:
Periscope: Advanced Techniques for Performance Analysis. PARCO 2005: 15-26 - [c35]Edmond Kereku, Michael Gerndt:
The EP-Cache Automatic Monitoring System. IASTED PDCS 2005: 39-44 - 2004
- [c34]Edmond Kereku, Tianchao Li, Michael Gerndt, Josef Weidendorfer:
A Data Structure Oriented Monitoring Environment for Fortran OpenMP Programs. Euro-Par 2004: 133-140 - [c33]Michael Gerndt, Bernd Mohr, Jesper Larsson Träff:
Evaluating OpenMP Performance Analysis Tools with the APART Test Suite. Euro-Par 2004: 155-162 - 2003
- [c32]Karl Fürlinger, Michael Gerndt:
Distributed Application Monitoring for Clustered SMP Architectures. Euro-Par 2003: 127-134 - [c31]Michael Gerndt, Chau-Wen Tseng, Michael F. P. O'Boyle, Markus Schordan:
Topic Introduction. Euro-Par 2003: 241 - [c30]Karl Fürlinger, Michael Gerndt:
Distributed Configurable Application Monitoring on SMP Clusters. PVM/MPI 2003: 429-437 - 2002
- [c29]Michael Gerndt, Andreas Schmidt, Martin Schulz, Roland Wismüller:
Performance Analysis for Teraflop Computers: A Distributed Automatic Approach. PDP 2002: 23-30 - [c28]Michael Gerndt:
Performance Analysis: Necessity or Add-on in Grid Computing. PVM/MPI 2002: 11 - 2001
- [c27]Michael Gerndt:
Topic 01: Support Tools and Environments. Euro-Par 2001: 34-35 - 2000
- [c26]Michael Gerndt:
Towards automatic performance debugging tools. AADEBUG 2000 - [c25]Barton P. Miller, Michael Gerndt:
Support Tools and Environments. Euro-Par 2000: 45-46 - [c24]Thomas Fahringer, Michael Gerndt, Graham D. Riley, Jesper Larsson Träff:
Specification of Performance Problems in MPI Programs with ASL. ICPP 2000: 51-60 - [c23]Michael Gerndt, Hans-Georg Eßer:
Specification Techniques for Automatic Performance Analysis Tools. IPDPS Workshops 2000: 269-276 - [c22]Thomas Fahringer, Michael Gerndt, Graham D. Riley, Jesper Larsson Träff:
On Performance Modeling for HPF Applications with ASL. ISHPC 2000: 191-204 - [c21]Thomas Fahringer, Michael Gerndt, Graham D. Riley, Jesper Larsson Träff:
Formalizing OpenMP Performance Properties with ASL. ISHPC 2000: 428-439 - 1999
- [c20]Michael Gerndt, Bernd Mohr, Mario Pantano, Felix Wolf:
Performance analysis on CRAY T3E. PDP 1999: 241-248 - 1997
- [c19]Michael Gerndt:
Sprachunterstützung zur Programmierung von Multiprozessorsystemen mit Shared Virtual Memory. GI Jahrestagung 1997: 466-475 - [c18]Michael Gerndt, Andreas Krumme:
A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared. HIPS 1997: 93- - [c17]Michael Gerndt:
Unstructured Templates for Programming Irregular Grid Applications on High Performance Computers. PARCO 1997: 251-260 - 1996
- [c16]Michael Gerndt, Andreas Krumme:
Program Optimization for Shared Virtual Memory Systems. HPCN Europe 1996: 1001-1002 - [c15]Michael Gerndt:
"Programming Shared Virtual Memory Multiprocessor". PDP 1996: 2-10 - 1995
- [c14]Michael Gerndt, Rudolf Berrendorf:
Parallelizing applications with SVM-Fortran. HPCN Europe 1995: 793-798 - [c13]Michael Gerndt, Andreas Krumme, Selçuk Özmen:
Performance Analysis for SVM-Fortran with OPAL. PDPTA 1995: 561-570 - 1994
- [c12]Ulrich Detert, Michael Gerndt:
TOP2 Tool Suite for the Development and Testing of Parallel Applications. CONPAR 1994: 196-207 - [c11]Rudolf Berrendorf, Michael Gerndt, Zakaria Lahjomri, Thierry Priol:
A Comparison of Shared Virtual Memory and Message Passing Programming Techniques Based on a Finite Element Application. CONPAR 1994: 461-472 - [c10]Michael Gerndt:
Automatic Parallelization of a Crystal Growth Simulation Program for Distributed-Memory Systems. HPCN 1994: 281-286 - 1993
- [c9]Rudolf Berrendorf, Ulrich Detert, Jutta Docter, U. Ehrhart, Michael Gerndt, Inge Gutheil, R. Knecht:
Massively Parallel Computing in a Proction Environment iPSC/860 Installation at KFA Jülich. GI Jahrestagung 1993: 489-494 - 1992
- [c8]Peter Brezany, Michael Gerndt, Piyush Mehrotra, Hans P. Zima:
Concurrent File Operations in a High Performance FORTRAN. SC 1992: 230-237 - 1991
- [c7]Michael Gerndt, Hans Moritsch:
Parallelization for Multiprocessors with Memory Hierarchies. ACPC 1991: 89-101 - [c6]Michael Gerndt:
Parallelization of Multigrid Programs in SUPERB. EDMCC 1991: 62-72 - [c5]Michael Gerndt:
Work distribution in parallel programs for distributed memory multiprocessors. ICS 1991: 96-104 - 1990
- [c4]Michael Gerndt, Hans P. Zima:
Optimizing Communication in Superb. CONPAR 1990: 300-311 - 1989
- [c3]Michael Gerndt:
Array distribution in SUPERB. ICS 1989: 164-174 - 1987
- [c2]Michael Gerndt, Hans P. Zima:
MIMD-Parallelization for SUPENUM. ICS 1987: 278-293 - 1986
- [c1]Hans P. Zima, Heinz-J. Bast, Michael Gerndt, Peter J. Hoppen:
Semi-Automatic Parallelization of Fortran Programs. CONPAR 1986: 287-294
Editorship
- 2017
- [e10]Atul Kumar, Santonu Sarkar, Michael Gerndt:
Proceedings of the 2017 Workshop on Software Engineering Methods for Parallel and High Performance Applications, SEM4HPC@HPDC 2017, Washington, DC, USA, June 26-30, 2017. ACM 2017, ISBN 978-1-4503-5000-6 [contents] - 2016
- [e9]Atul Kumar, Santonu Sarkar, Michael Gerndt:
Proceedings of the ACM Workshop on Software Engineering Methods for Parallel and High Performance Applications, Kyoto, Japan, May 31 - June 04, 2016. ACM 2016, ISBN 978-1-4503-4351-0 [contents] - 2014
- [e8]Arndt Bode, Michael Gerndt, Per Stenström, Lawrence Rauchwerger, Barton P. Miller, Martin Schulz:
2014 International Conference on Supercomputing, ICS'14, Muenchen, Germany, June 10-13, 2014. ACM 2014, ISBN 978-1-4503-2642-1 [contents] - [e7]Michael Bader, Arndt Bode, Hans-Joachim Bungartz, Michael Gerndt, Gerhard R. Joubert, Frans J. Peters:
Parallel Computing: Accelerating Computational Science and Engineering (CSE), Proceedings of the International Conference on Parallel Computing, ParCo 2013, 10-13 September 2013, Garching (near Munich), Germany. Advances in Parallel Computing 25, IOS Press 2014, ISBN 978-1-61499-380-3 [contents] - 2012
- [e6]Michael Alexander, Pasqua D'Ambra, Adam Belloum, George Bosilca, Mario Cannataro, Marco Danelutto, Beniamino Di Martino, Michael Gerndt, Emmanuel Jeannot, Raymond Namyst, Jean Roman, Stephen L. Scott, Jesper Larsson Träff, Geoffroy Vallée, Josef Weidendorfer:
Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 - September 2, 2011, Revised Selected Papers, Part I. Lecture Notes in Computer Science 7155, Springer 2012, ISBN 978-3-642-29736-6 [contents] - [e5]Michael Alexander, Pasqua D'Ambra, Adam Belloum, George Bosilca, Mario Cannataro, Marco Danelutto, Beniamino Di Martino, Michael Gerndt, Emmanuel Jeannot, Raymond Namyst, Jean Roman, Stephen L. Scott, Jesper Larsson Träff, Geoffroy Vallée, Josef Weidendorfer:
Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29 - September 2, 2011, Revised Selected Papers, Part II. Lecture Notes in Computer Science 7156, Springer 2012, ISBN 978-3-642-29739-7 [contents] - 2009
- [e4]Hans Michael Gerndt, Omer F. Rana, Gregor von Laszewski, Wolfgang Ziegler:
Service Level Agreements in Grids, 22.03. - 27.03.2009. Dagstuhl Seminar Proceedings 09131, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [e3]Dieter Kranzlmüller, Arndt Bode, Heinz-Gerd Hegering, Henri Casanova, Michael Gerndt:
Proceedings of the 18th ACM International Symposium on High Performance Distributed Computing, HPDC 2009, Garching, Germany, June 11-13, 2009. ACM 2009, ISBN 978-1-60558-587-1 [contents] - 2006
- [e2]Michael Gerndt, Allen D. Malony, Barton P. Miller, Wolfgang E. Nagel:
Automatic Performance Analysis, 12.-16. December 2005. Dagstuhl Seminar Proceedings 05501, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006 [contents] - [e1]Michael Gerndt, Dieter Kranzlmüller:
High Performance Computing and Communications, Second International Conference, HPCC 2006, Munich, Germany, September 13-15, 2006, Proceedings. Lecture Notes in Computer Science 4208, Springer 2006, ISBN 3-540-39368-4 [contents]
Reference Works
- 2011
- [r2]Michael Gerndt:
Performance Analysis Tools. Encyclopedia of Parallel Computing 2011: 1515-1522 - [r1]Michael Gerndt:
Periscope. Encyclopedia of Parallel Computing 2011: 1525
Informal and Other Publications
- 2024
- [i34]Mohak Chadha, Paul Wieland, Michael Gerndt:
gFaaS: Enabling Generic Functions in Serverless Computing. CoRR abs/2401.10367 (2024) - [i33]Mohak Chadha, Pulkit Khera, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning. CoRR abs/2402.07295 (2024) - [i32]Mohak Chadha, Alexander Jensen, Jianfeng Gu, Osama Abboud, Michael Gerndt:
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments. CoRR abs/2404.14033 (2024) - 2023
- [i31]Mohak Chadha, Nils Krueger, Jophin John, Anshul Jindal, Michael Gerndt, Shajulin Benedict:
Exploring the Use of WebAssembly in HPC. CoRR abs/2301.03982 (2023) - [i30]Jianfeng Gu, Yichao Zhu, Puxuan Wang, Mohak Chadha, Michael Gerndt:
FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference. CoRR abs/2309.00558 (2023) - [i29]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. CoRR abs/2309.13473 (2023) - [i28]Mohak Chadha, Thandayuthapani Subramanian, Eishi Arima, Michael Gerndt, Martin Schulz, Osama Abboud:
GreenCourier: Carbon-Aware Scheduling for Serverless Functions. CoRR abs/2310.20375 (2023) - 2022
- [i27]Anshul Jindal, Mohak Chadha, Shajulin Benedict, Michael Gerndt:
Estimating the Capacities of Function-as-a-Service Functions. CoRR abs/2201.11454 (2022) - [i26]Thomas van Loo, Anshul Jindal, Shajulin Benedict, Mohak Chadha, Michael Gerndt:
Scalable Infrastructure for Workload Characterization of Cluster Traces. CoRR abs/2205.11582 (2022) - [i25]Gor Safaryan, Anshul Jindal, Mohak Chadha, Michael Gerndt:
SLAM: SLO-Aware Memory Optimization for Serverless Applications. CoRR abs/2207.06183 (2022) - [i24]Christoph Reile, Mohak Chadha, Valentin Hauner, Anshul Jindal, Benjamin Hofmann, Michael Gerndt:
Bunk8s: Enabling Easy Integration Testing of Microservices in Kubernetes. CoRR abs/2207.06811 (2022) - [i23]Mohak Chadha, Victor Pacyna, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
Migrating from Microservices to Serverless: An IoT Platform Case Study. CoRR abs/2210.04212 (2022) - [i22]Jophin John, Michael Gerndt:
Designing an Adaptive Application-Level Checkpoint Management System for Malleable MPI Applications. CoRR abs/2211.04305 (2022) - [i21]Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. CoRR abs/2211.05739 (2022) - 2021
- [i20]Anshul Jindal, Paul Staab, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
Online Memory Leak Detection in the Cloud-based Infrastructures. CoRR abs/2101.09799 (2021) - [i19]Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen:
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms. CoRR abs/2102.02330 (2021) - [i18]Mohak Chadha, Michael Gerndt:
Modelling DVFS and UFS for Region-Based Energy Aware Tuning of HPC Applications. CoRR abs/2105.09642 (2021) - [i17]Anshul Jindal, Paul Staab, Pooja Kulkarni, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
Memory Leak Detection Algorithms in the Cloud-based Infrastructure. CoRR abs/2106.08938 (2021) - [i16]Mohak Chadha, Anshul Jindal, Michael Gerndt:
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. CoRR abs/2107.10008 (2021) - [i15]Stephan Patrick Baller, Anshul Jindal, Mohak Chadha, Michael Gerndt:
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices. CoRR abs/2108.09457 (2021) - [i14]Michael Kiener, Mohak Chadha, Michael Gerndt:
Towards Demystifying Intra-Function Parallelism in Serverless Computing. CoRR abs/2110.12090 (2021) - [i13]Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. CoRR abs/2111.03396 (2021) - [i12]Anshul Jindal, Ilya Shakhat, Jorge Cardoso, Michael Gerndt, Vladimir Podolskiy:
IAD: Indirect Anomalous VMMs Detection in the Cloud-based Environment. CoRR abs/2111.11052 (2021) - [i11]Michael Gerndt, Masaaki Kondo, Barton P. Miller, Tapasya Patki:
Adaptive Resource Management for HPC Systems (Dagstuhl Seminar 21441). Dagstuhl Reports 11(10): 1-19 (2021) - 2020
- [i10]Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CoRR abs/2008.06571 (2020) - [i9]Mohak Chadha, Jophin John, Michael Gerndt:
Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. CoRR abs/2009.08289 (2020) - [i8]Paolo Notaro, Jorge Cardoso, Michael Gerndt:
A Systematic Mapping Study in AIOps. CoRR abs/2012.09108 (2020) - 2016
- [i7]Nacer Khalil, Mohamed Riduan Abid, Driss Benhaddou, Michael Gerndt:
Wireless Sensors Networks for Internet of Things. CoRR abs/1606.08407 (2016) - [i6]Hans Michael Gerndt, Michael Glaß, Sri Parameswaran, Barry L. Rountree:
Dark Silicon: From Embedded to HPC Systems (Dagstuhl Seminar 16052). Dagstuhl Reports 6(1): 224-244 (2016) - 2013
- [i5]Siegfried Benkner, Franz Franchetti, Hans Michael Gerndt, Jeffrey K. Hollingsworth:
Automatic Application Tuning for HPC Architectures (Dagstuhl Seminar 13401). Dagstuhl Reports 3(9): 214-244 (2013) - 2009
- [i4]Hans Michael Gerndt, Omer F. Rana, Gregor von Laszewski, Wolfgang Ziegler:
09131 Abstracts Collection - Service Level Agreements in Grids. Service Level Agreements in Grids 2009 - [i3]Hans Michael Gerndt, Omer F. Rana, Gregor von Laszewski, Wolfgang Ziegler:
09131 Executive Summary - Service Level Agreements in Grids. Service Level Agreements in Grids 2009 - 2005
- [i2]Michael Gerndt, Allen D. Malony, Barton P. Miller, Wolfgang E. Nagel:
05501 Summary - Automatic Performance Analysis. Automatic Performance Analysis 2005 - [i1]Michael Gerndt, Allen D. Malony, Barton P. Miller, Wolfgang E. Nagel:
05501 Abstracts Collection - Automatic Performance Analysis. Automatic Performance Analysis 2005
Coauthor Index
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