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pro vyhledávání: '"SMART, SIMON"'
Autor:
Manubens, Nicolau, Lombardi, Johann, Smart, Simon D., Danovaro, Emanuele, Quintino, Tiago, Hildebrand, Dean, Jackson, Adrian
Distributed Asynchronous Object Store (DAOS) is a novel software-defined object store leveraging Non-Volatile Memory (NVM) devices, designed for high performance. It provides a number of interfaces for applications to undertake I/O, ranging from a na
Externí odkaz:
http://arxiv.org/abs/2409.18682
Operational Numerical Weather Prediction (NWP) workflows are highly data-intensive. Data volumes have increased by many orders of magnitude over the last 40 years, and are expected to continue to do so, especially given the upcoming adoption of Machi
Externí odkaz:
http://arxiv.org/abs/2404.03107
Data extraction algorithms on data hypercubes, or datacubes, are traditionally only capable of cutting boxes of data along the datacube axes. For many use cases however, this is not a sufficient approach and returns more data than users might actuall
Externí odkaz:
http://arxiv.org/abs/2306.11553
High-performance object stores are an emerging technology which offers an alternative solution in the field of HPC storage, with potential to address long-standing scalability issues in traditional distributed POSIX file systems due to excessive cons
Externí odkaz:
http://arxiv.org/abs/2211.09162
Object storage solutions potentially address long-standing performance issues with POSIX file systems for certain I/O workloads, and new storage technologies offer promising performance characteristics for data-intensive use cases. In this work, we p
Externí odkaz:
http://arxiv.org/abs/2208.06752
Publikováno v:
In Applied Energy 15 June 2024 364
Autor:
Gunawan, Triyanda, Widiastuti, Nurul, Widyanto, Alvin Rahmad, Fansuri, Hamzah, Akhlus, Syafsir, Salleh, Wan Norharyati Wan, Ismail, Ahmad Fauzi, Sazali, Norazlianie, Lin, Rijia, Motuzas, Julius, Smart, Simon
Publikováno v:
In Chemical Engineering Research and Design April 2024 204:556-571
Autor:
Geenen, Thomas, Wedi, Nils, Milinski, Sebastian, Hadade, Ioan, Reuter, Balthasar, Smart, Simon, Hawkes, James, Kuwertz, Emma, Quintino, Tiago, Danovaro, Emanuele, Sarmany, Domokos, Aguridan, Razvan, Maciel, Pedro, Suttie, Martin, Duma, Cristina, Griffith, Matthew, Burton, Paul, Bennet, Andrew, Horvjar, Tryggvi, Hernandez, Bentorey, Cruz, Bulin, Johannes, Lange, Michael, Nawab, Ahmad, Leuridan, Mathilde, Demir, Samet, Bonanni, Antonino, Manubens, Nicolau, Geier, Phillip, Bradley, Christopher, Warde, Adam, Valentini, Mirco, Betke, Eugen, Bento, Marcos, Sleigh, Michael, Müller, Andreas, Deconinck, Willem, Marsden, Olivier, Staneker, Michael, Pouyan, Fatemeh, Brdar, Slavko, Piotrowski, Zbigniew, Hatfield, Samuel
Publikováno v:
In Procedia Computer Science 2024 240:99-109
Autor:
Guther, Kai, Anderson, Robert J., Blunt, Nick S., Bogdanov, Nikolay A., Cleland, Deidre, Dattani, Nike, Dobrautz, Werner, Ghanem, Khaldoon, Jeszenski, Peter, Liebermann, Niklas, Manni, Giovanni Li, Lozovoi, Alexander Y., Luo, Hongjun, Ma, Dongxia, Merz, Florian, Overy, Catherine, Rampp, Markus, Samanta, Pradipta K., Schwarz, Lauretta R., Shepherd, James J., Smart, Simon D., Vitale, Eugenio, Weser, Oskar, Booth, George H., Alavi, Ali
We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utiliz
Externí odkaz:
http://arxiv.org/abs/2006.14956
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