Despite the impossibility of welcoming you in person to PASC20, we are delighted to announce that the Proceedings of the PASC20 Conference were published according to the original schedule and are now available in the ACM Digital Library. Authors of accepted papers have been invited to give updated talks at PASC21. Congratulations to the authors who have been published in the proceedings, and we look forward to you showcasing your latest results at PASC21!
Full papers can be downloaded at: dl.acm.org/citation.cfm?id=3394277
In recognition of the high quality of the PASC Conference papers track, the Association for Computing Machinery (ACM) continues to provide the proceedings as an Open Table of Contents (OpenTOC). This means that the definitive versions of PASC Conference papers are available to everyone at no charge to the author and without any pay-wall constraints for readers.
The OpenTOC for the PASC Conference is hosted on the ACM’s SIGHPC website. PASC papers can be accessed for free at: www.sighpc.org/for-our-community/acm-open-tocs
The best paper prize for PASC20 has been awarded to Md Bulbul Sharif and collaborators from Tennessee Tech University and Oak Ridge National Laboratory for their paper “Performance Evaluation of a Two Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures”. Further congratulations to all of the authors involved in this work!
We thank Prof. Sunita Chandrasekaran (University of Delaware, US) and Prof. Ümit V. Çatalyürek (Georgia Institute of Technology, US), for their exceptional work as chairs of the papers program for PASC19 and PASC20. Sunita and Ümit have worked tirelessly in the last two years to ensure a strong and robust papers program. We also acknowledge the invaluable support provided by all domain chairs, committee membersand external reviewers. Details on the submission and review process for PASC20 can be found at: pasc20.pasc-conference.org/submission/guidelines-for-papers/
We wish you a safe and happy summer break, and look forward to receiving your submissions for PASC21! The call for submissions will be posted in autumn.
The following papers are published in the Proceedings of the PASC20 Conference:
Henrik Barthels, Christos Psarras, and Paolo Bientinesi. 2020. Automatic Generation of Efficient Linear Algebra Programs. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 1, 1–11. DOI:doi.org/10.1145/3394277.3401836
Qinglei Cao, Yu Pei, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David Keyes, and Jack Dongarra. 2020. Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications. In Proceedings of the Platform for Advanced Scientific Computing Conference(PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 2, 1–11. DOI:doi.org/10.1145/3394277.3401846
Fabio Banchelli, Marta Garcia-Gasulla, Guillaume Houzeaux, and Filippo Mantovani. 2020. Benchmarking of state-of-the-art HPC Clusters with a Production CFD Code. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 3, 1–11. DOI:doi.org/10.1145/3394277.3401847
Sayan Roychowdhury, John Gounley, and Amanda Randles. 2020. Evaluating the Influence of Hemorheological Parameters on Circulating Tumor Cell Trajectory and Simulation Time. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 4, 1–10. DOI:doi.org/10.1145/3394277.3401848
Daniel Wälchli, Sergio M. Martin, Athena Economides, Lucas Amoudruz, George Arampatzis, Xin Bian, and Petros Koumoutsakos. 2020. Load Balancing in Large Scale Bayesian Inference. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 5, 1–12. DOI:doi.org/10.1145/3394277.3401849
David Brayford and Sofia Vallecorsa. 2020. Deploying Scientific Al Networks at Petaflop Scale on Secure Large Scale HPC Production Systems with Containers. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 6, 1–8. DOI:doi.org/10.1145/3394277.3401850
Pavanakumar Mohanamuraly and Gabriel Staffelbach. 2020. Hardware Locality-Aware Partitioning and Dynamic Load-Balancing of Unstructured Meshes for Large-Scale Scientific Applications. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 7, 1–10. DOI:doi.org/10.1145/3394277.3401851
Md Bulbul Sharif, Sheikh K. Ghafoor, Thomas M. Hines, Mario Morales-Hernändez, Katherine J. Evans, Shih-Chieh Kao, Alfred J. Kalyanapu, Tigstu T. Dullo, and Sudershan Gangrade. 2020. Performance Evaluation of a Two-Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 8, 1–9. DOI:doi.org/10.1145/3394277.3401852 (Best Paper Award for PASC20)
Josep de la Puente, Juan Esteban Rodriguez, Marisol Monterrubio-Velasco, Otilio Rojas, and Arnau Folch. 2020. Urgent Supercomputing of Earthquakes: Use Case for Civil Protection. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 9, 1–8. DOI:doi.org/10.1145/3394277.3401853
Marta Jaros, Bradley E. Treeby, Panayiotis Georgiou, and Jiri Jaros. 2020. K-Dispatch: A Workflow Management System for the Automated Execution of Biomedical Ultrasound Simulations on Remote Computing Resources. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 10, 1–10. DOI:doi.org/10.1145/3394277.3401854
Aurélien Cavelan, Rubén M. Cabezón, Michal Grabarczyk, and Florina M. Ciorba. 2020. A Smoothed Particle Hydrodynamics Mini-App for Exascale. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 11, 1–11. DOI:doi.org/10.1145/3394277.3401855
Petr Karnakov, Fabian Wermelinger, Sergey Litvinov, and Petros Koumoutsakos. 2020. Aphros: High Performance Software for Multiphase Flows with Large Scale Bubble and Drop Clusters. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 12, 1–10. DOI:doi.org/10.1145/3394277.3401856
Anuva Kulkarni, Jelena Kovačević, and Franz Franchetti. 2020. Massive Scaling of MASSIF: Algorithm Development and Analysis for Simulation on GPUs. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 13, 1–10. DOI:doi.org/10.1145/3394277.3401857
David Haensel, Laura Morgenstern, Andreas Beckmann, Ivo Kabadshow, and Holger Dachsel. 2020. Eventify: Event-Based Task Parallelism for Strong Scaling. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 14, 1–10. DOI:doi.org/10.1145/3394277.3401858
Rahul Bale, Wei Hsiang Wang, Chung-Gang Li, Keiji Onishi, Kenji Uchida, Hidefumi Fujimoto, Ryoichi Kurose, and Makoto Tsubokura. 2020. A Scalable Framework for Numerical Simulation of Combustion in Internal Combustion Engines. In Proceedings of the Platform for Advanced Scientific Computing Conference(PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 15, 1–10. DOI:doi.org/10.1145/3394277.3401859
Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Akira Naruse, Jack C. Wells, Christopher J. Zimmer, Tjerk P. Straatsma, Muneo Hori, Lalith Maddegedara, and Naonori Ueda. 2020. Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC ’20). Association for Computing Machinery, New York, NY, USA, Article 16, 1–11. DOI:doi.org/10.1145/3394277.3401860