Papers matching “high-performance computing” 26
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Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data2023 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro, Wil M. P. van der Aalst
1citations -
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn2022 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access
Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more
0citations -
Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers2021 arXiv (Cornell University) preprint Computer Science Computational Drug Discovery Methods Open access
Agastya P. Bhati, Shunzhou Wan, Austin Clyde, Mathis Bode, Mikhail Titov, André Merzky, +20 more
42citations -
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies2026 arXiv (Cornell University) preprint Decision Sciences Scientific Computing and Data Management Open access
Jan Vogelsang, Melissa Lober, Catherine Mia Schöfmann, José Villamar, D. Terhorst, Johanna Senk, +4 more
0citations -
Bridging HPC Communities through the Julia Programming Language2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Valentin Churavy, William F. Godoy, Carsten Bauer, Hendrik Ranocha, Michael Schlottke‐Lakemper, Ludovic Räss, +6 more
18citations -
Massively parallel numerical simulations with Julia2026 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Simon Candelaresi, Benedict Geihe, Marco Artiano, Lars Christmann, Valentin Churavy, Andrés Mauricio Rueda-Ramírez, +3 more
0citations -
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations -
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems2020 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access
Suresh Nambi, Salim Ullah, Siva Satyendra Sahoo, Aditya Lohana, Farhad Merchant, Akash S. Kumar
4citations