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36th ISC 2021: Frankfurt/Main, Germany - Workshops
- Heike Jagode, Hartwig Anzt, Hatem Ltaief, Piotr Luszczek:
High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12761, Springer 2021, ISBN 978-3-030-90538-5
Second International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics and Solid Mechanics Simulations and Analysis
- Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann:
Machine-Learning-Based Control of Perturbed and Heated Channel Flows. 7-22 - Thomas S. Brown, Harbir Antil, Rainald Löhner, Fumiya Togashi, Deepanshu Verma:
Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. 23-39 - Mario Christopher Bedrunka, Dominik Wilde, Martin Kliemank, Dirk Reith, Holger Foysi, Andreas Krämer:
Lettuce: PyTorch-Based Lattice Boltzmann Framework. 40-55 - Alberto Costa Nogueira Jr., Felipe C. T. Carvalho, João Lucas de Sousa Almeida, Andrés Codas, Eloisa Bentivegna, Campbell D. Watson:
Reservoir Computing in Reduced Order Modeling for Chaotic Dynamical Systems. 56-72 - Yaning Wang, Shirui Luo, Wen Wang, Guocheng Tao, Xinshuai Zhang, Jiahuan Cui:
Film Cooling Prediction and Optimization Based on Deconvolution Neural Network. 73-91 - Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko:
Turbomachinery Blade Surrogate Modeling Using Deep Learning. 92-104 - Sarath Radhakrishnan, Lawrence Adu Gyamfi, Arnau Miró, Bernat Font, Joan Calafell, Oriol Lehmkuhl:
A Data-Driven Wall-Shear Stress Model for LES Using Gradient Boosted Decision Trees. 105-121 - Kazuto Ando, Keiji Onishi, Rahul Bale, Makoto Tsubokura, Akiyoshi Kuroda, Kazuo Minami:
Nonlinear Mode Decomposition and Reduced-Order Modeling for Three-Dimensional Cylinder Flow by Distributed Learning on Fugaku. 122-137 - Michael Gauding, Mathis Bode:
Using Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Reconstruct Mixture Fraction Statistics of Turbulent Jet Flows. 138-153
HPC I/O in the Data Center
- Julian M. Kunkel, Eugen Betke:
Toward a Workflow for Identifying Jobs with Similar I/O Behavior Utilizing Time Series Analysis. 161-173 - Antony Chazapis, Efstratios Politis, Giorgos Kalaentzis, Christos Kozanitis, Angelos Bilas:
H3: An Application-Level, Low-Overhead Object Store. 174-188
Compiler-assisted Correctness Checking and Performance Optimization for HPC
- Tim Jammer, Christian H. Bischof:
Automatic Partitioning of MPI Operations in MPI+OpenMP Applications. 191-198 - Michael Blesel, Michael Kuhn, Jannek Squar:
heimdallr: Improving Compile Time Correctness Checking for Message Passing with Rust. 199-211 - Wei He, Michelle Mills Strout:
Potential of Interpreter Specialization for Data Analysis. 212-225 - Michele Martone, Julia Lawall:
Refactoring for Performance with Semantic Patching: Case Study with Recipes. 226-232 - Reed Milewicz, Peter Pirkelbauer, Prema Soundararajan, Hadia Ahmed, Anthony Skjellum:
Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review. 233-246
Machine Learning on HPC Systems
- Derssie Mebratu, Niranjan Hasabnis, Pietro Mercati, Gaurit Sharma, Shamima Najnin:
Automatic Tuning of Tensorflow's CPU Backend Using Gradient-Free Optimization Algorithms. 249-266 - Kalun Ho, Avraam Chatzimichailidis, Margret Keuper, Janis Keuper:
MSM: Multi-stage Multicuts for Scalable Image Clustering. 267-284 - Peter Winkler, Norman Koch, Andreas Hornig, Johannes Gerritzen:
OmniOpt - A Tool for Hyperparameter Optimization on HPC. 285-296 - Mathias Esteban, Jamal Toutouh, Sergio Nesmachnow:
Parallel/Distributed Intelligent Hyperparameters Search for Generative Artificial Neural Networks. 297-313 - Jonathan Muraña, Carmen B. Navarrete, Sergio Nesmachnow:
Machine Learning for Generic Energy Models of High Performance Computing Resources. 314-330
Fourth International Workshop on Interoperability of Supercomputing and Cloud Technologies
- Deborah Bard, Mark R. Day, Bjoern Enders, Rebecca Hartman-Baker, John Riney, Cory Snavely, Gabor Torok:
Automation for Data-Driven Research with the NERSC Superfacility API. 333-345 - Christopher Haine, Utz-Uwe Haus, Maxime Martinasso, Dirk Pleiter, François Tessier, Domokos Sarmany, Simon D. Smart, Tiago Quintino, Adrian Tate:
A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures. 346-357
Second International Workshop on Monitoring and Operational Data Analytics
- Masaaki Terai, Keiji Yamamoto, Shin'ichi Miura, Fumiyoshi Shoji:
An Operational Data Collecting and Monitoring Platform for Fugaku: System Overviews and Case Studies in the Prelaunch Service Period. 365-377 - Martin Molan, Andrea Borghesi, Francesco Beneventi, Massimiliano Guarrasi, Andrea Bartolini:
An Explainable Model for Fault Detection in HPC Systems. 378-391
Sixteenth Workshop on Virtualization in High-Performance Cloud Computing
- Sezar Jarrous-Holtrup, Folker Schamel, Kerstin Hofer, Sergei Gorlatch:
A Scalable Cloud Deployment Architecture for High-Performance Real-Time Online Applications. 395-405 - Argyris Kokkinis, Aggelos Ferikoglou, Dimitrios Danopoulos, Dimosthenis Masouros, Kostas Siozios:
Leveraging HW Approximation for Exploiting Performance-Energy Trade-offs Within the Edge-Cloud Computing Continuum. 406-415 - Yiannis Gkoufas, David Yu Yuan, Christian Pinto, Panos K. Koutsovasilis, Srikumar Venugopal:
Datashim and Its Applications in Bioinformatics. 416-427 - Achilleas Tzenetopoulos, Evangelos Apostolakis, Aphrodite Tzomaka, Christos Papakostopoulos, Konstantinos Stavrakakis, Manolis Katsaragakis, Ioannis Oroutzoglou, Dimosthenis Masouros, Sotirios Xydis, Dimitrios Soudris:
FaaS and Curious: Performance Implications of Serverless Functions on Edge Computing Platforms. 428-438 - Remo Andreoli, Tommaso Cucinotta:
Differentiated Performance in NoSQL Database Access for Hybrid Cloud-HPC Workloads. 439-449
Deep Learning on Supercomputers
- Stefan Kesselheim, Andreas Herten, Kai Krajsek, Jan Ebert, Jenia Jitsev, Mehdi Cherti, Michael Langguth, Bing Gong, Scarlet Stadtler, Amirpasha Mozaffari, Gabriele Cavallaro, Rocco Sedona, Alexander Schug, Alexandre Strube, Roshni Kamath, Martin G. Schultz, Morris Riedel, Thomas Lippert:
JUWELS Booster - A Supercomputer for Large-Scale AI Research. 453-468
Fifth International Workshop on in Situ Visualization
- Aniello Esposito, Glendon Holst:
In Situ Visualization of WRF Data Using Universal Data Junction. 475-483 - Utkarsh Ayachit, Andrew C. Bauer, Ben Boeckel, Berk Geveci, Kenneth Moreland, Patrick O'Leary, Tom Osika:
Catalyst Revised: Rethinking the ParaView in Situ Analysis and Visualization API. 484-494 - David Pugmire, Caitlin Ross, Nicholas Thompson, James Kress, Chuck Atkins, Scott Klasky, Berk Geveci:
Fides: A General Purpose Data Model Library for Streaming Data. 495-507 - Christian Witzler, J. Miguel Zavala-Aké, Karol Sierocinski, Herbert Owen:
Including in Situ Visualization and Analysis in PDI. 508-512
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