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ORCIDSupercomputing Frontiers and Innovations, Volume 8
Volume 8, Number 1, 2021
- Ulises Cortés, Eduardo Ulises Moya-Sánchez, Mateo Valero:
When Sally Met Harry or When AI Met HPC. 4-7 - Jaume Manero
, Javier Béjar:
Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions. 8-27 - Ferran Parés Pont, Pedro Megias, Dario Garcia-Gasulla, Marta Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta:
Size & Shape Matters: The Need of HPC Benchmarks of High Resolution Image Training for Deep Learning. 28-44 - Luis Alejandro Torres, Carlos J. Barrios, Yves Denneulin:
Computational Resource Consumption in Convolutional Neural Network Training - A Focus on Memory. 45-61 - Alexander Fell, Daniel J. Mazure, Teresa C. Garcia, Borja Pérez, Xavier Teruel, Pete Wilson, John D. Davis:
The MareNostrum Experimental Exascale Platform (MEEP). 62-81 - Ameer B. A. Alaasam, Gleb I. Radchenko, Andrey N. Tchernykh:
Micro-Workflows Data Stream Processing Model for Industrial Internet of Things. 82-98
Volume 8, Number 2, 2021
- Yuxi Hong, Hatem Ltaief, Matteo Ravasi, Laurent Gatineau, David E. Keyes:
Accelerating Seismic Redatuming Using Tile Low-Rank Approximations on NEC SX-Aurora TSUBASA. 6-26 - Leonardo Solis-Vasquez, Erich Focht, Andreas Koch:
Porting and Optimizing Molecular Docking onto the SX-Aurora TSUBASA Vector Computer. 27-42 - Shinji Yoshida, Arata Endo, Hirono Kaneyasu, Susumu Date:
First Experience of Accelerating a Field-Induced Chiral Transition Simulation Using the SX-Aurora TSUBASA. 43-58 - Tim Cramer, Boris Kosmynin, Simon Moll, Manoel Römmer, Erich Focht, Matthias S. Müller:
Evaluating the Performance of OpenMP Offloading on the NEC SX-Aurora TSUBASA Vector Engine. 59-74 - Kazuhiko Komatsu, Akito Onodera, Erich Focht, Soya Fujimoto, Yoko Isobe, Shintaro Momose, Masayuki Sato, Hiroaki Kobayashi:
Performance and Power Analysis of a Vector Computing System. 75-94 - Ilya V. Afanasyev, Vadim V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi:
Distributed Graph Algorithms for Multiple Vector Engines of NEC SX-Aurora TSUBASA Systems. 95-113 - Osamu Watanabe, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi:
Optimizing Load Balance in a Parallel CFD Code for a Large-scale Turbine Simulation on a Vector Supercomputer. 114-130
Volume 8, Number 3, 2021
- Boris I. Krasnopolsky, Alexey V. Medvedev:
Evaluating Performance of Mixed Precision Linear Solvers with Iterative Refinement. 4-16 - Alexandra A. Kirsanova, Gleb I. Radchenko, Andrey N. Tchernykh:
Fog Computing State of the Art: Concept and Classification of Platforms to Support Distributed Computing Systems. 17-50 - Leonid B. Sokolinsky, Irina M. Sokolinskaya:
VaLiPro: Linear Programming Validator for Cluster Computing Systems. 51-61 - Konstantin S. Stefanov, Sucheta Pawar, Ashish Ranjan, Sanjay Wandhekar, Vladimir V. Voevodin:
A Review of Supercomputer Performance Monitoring Systems. 62-81 - Vadim V. Voevodin, Roman A. Chulkevich, Pavel S. Kostenetskiy, Vyacheslav I. Kozyrev, Anton K. Maliutin, Dmitry A. Nikitenko, Sergey G. Rykovanov, Artemiy B. Shamsutdinov, Yurii N. Shkandybin, Sergey A. Zhumatiy:
Administration, Monitoring and Analysis of Supercomputers in Russia: a Survey of 10 HPC Centers. 82-103 - Ilya V. Afanasyev, Dmitry I. Lichmanov, Vladimir Yu. Rudyak, Vadim V. Voevodin:
Efficient Implementation of Liquid Crystal Simulation Software on Modern HPC Platforms. 104-125
Volume 8, Number 4, 2021
- Andrey V. Gorobets, Alexey P. Duben:
Technology for Supercomputer Simulation of Turbulent Flows in the Good New Days of Exascale Computing. 4-10 - Mikhail A. Tolstykh, Rostislav Fadeev, Vladimir V. Shashkin, Gordey Goyman:
Improving the Computational Efficiency of the Global SL-AV Numerical Weather Prediction Model. 11-23 - Maria A. Tarasevich, Evgeny M. Volodin:
The Influence of Autumn Eurasian Snow Cover on the Atmospheric Dynamics Anomalies during the Next Winter in INMCM5 Model Data. 24-39 - Igor G. Okladnikov:
Representation of Spatial Data Processing Pipelines Using Relational Database. 40-49 - Evgeny V. Mortikov, Andrey V. Debolskiy:
Direct Numerical Simulation of Stratified Turbulent Flows and Passive Tracer Transport on HPC Systems: Comparison of CPU Architectures. 50-68 - Alexander S. Antonov:
Scalability as a Key Property of Mapping Computational Tasks to Supercomputer Architecture. 69-73 - Andrey V. Chaplygin, Anatoly V. Gusev, Nikolay A. Diansky:
High-performance Shallow Water Model for Use on Massively Parallel and Heterogeneous Computing Systems. 74-93 - Viktor V. Drobot, Evgeny M. Kirilin, Kirill E. Kopylov, Vytas K. Svedas:
PLUMED Plugin Integration into High Performance Pmemd Program for Enhanced Molecular Dynamics Simulations. 94-99 - Andrey V. Glazunov, Andrey V. Debolskiy, Evgeny V. Mortikov:
Turbulent Length Scale for Multilayer RANS Model of Urban Canopy and Its Evaluation Based on Large-Eddy Simulations. 100-116
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