Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Maxime Martinasso"'
Publikováno v:
The International Journal of High Performance Computing Applications. :109434202311678
Supercomputers have been driving innovations for performance and scaling benefiting several scientific applications for the past few decades. Yet their ecosystems remain virtually unchanged when it comes to integrating distributed data-driven workflo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af6669c83fdb53d0a5af0f05d763a72
https://doi.org/10.1177/10943420231167811
https://doi.org/10.1177/10943420231167811
Publikováno v:
2021 SC Workshops Supplementary Proceedings (SCWS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dbea818f0a82638b18f86cb736d8412
https://doi.org/10.1109/scws55283.2021.00021
https://doi.org/10.1109/scws55283.2021.00021
Autor:
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonca, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d0a43c2f3602f2bf9c531d477eabaf
http://arxiv.org/abs/2110.11466
http://arxiv.org/abs/2110.11466
Autor:
Christopher Haine, Utz-Uwe Haus, Maxime Martinasso, Dirk Pleiter, François Tessier, Domokos Sarmany, Simon Smart, Tiago Quintino, Adrian Tate
Publikováno v:
ISC 2021 SuperCompCloud-4th Workshop on Interoperability of Supercomputing and Cloud Technologies
ISC 2021 SuperCompCloud-4th Workshop on Interoperability of Supercomputing and Cloud Technologies, Jul 2021, Frankfurt, Germany. pp.1-12
Heidelberg : Springer, Lecture Notes in Computer Science 12761, 346-357 (2021). doi:10.1007/978-3-030-90539-2_23
High Performance Computing / Jagode, Heike (Editor)
High Performance Computing / Jagode, Heike (Editor) ISC High Performance 2021, Frankfurt, Germany, 2021-06-22-2021-06-25
Lecture Notes in Computer Science ISBN: 9783030905385
ISC 2021 SuperCompCloud-4th Workshop on Interoperability of Supercomputing and Cloud Technologies, Jul 2021, Frankfurt, Germany. pp.1-12
Heidelberg : Springer, Lecture Notes in Computer Science 12761, 346-357 (2021). doi:10.1007/978-3-030-90539-2_23
High Performance Computing / Jagode, Heike (Editor)
High Performance Computing / Jagode, Heike (Editor) ISC High Performance 2021, Frankfurt, Germany, 2021-06-22-2021-06-25
Lecture Notes in Computer Science ISBN: 9783030905385
International audience; Among the broad variety of challenges that arise from workloads in a converged HPC and Cloud infrastructure, data movement is of paramount importance, especially oncoming exascale systems featuring multiple tiers of memory and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d8833317b05eb7080818e3a574bf517
https://inria.hal.science/hal-03313021/file/wkp124s1-file1.pdf
https://inria.hal.science/hal-03313021/file/wkp124s1-file1.pdf
Autor:
Felipe A. Cruz, Juan P. Dorsch, Eirini Koutsaniti, Maxime Martinasso, Dario Petrusic, Alejandro Dabin, Nelson F. Lezcano
Publikováno v:
SuperCompCloud@SC
As science gateways are becoming an increasingly popular digital interface for scientific communities, it is important for High-Performance Computing centers to provide a modern and externally accessible interface such as Web-enabled APIs. Such an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a77ae055f44bc63e3034610ed85c9ce
https://doi.org/10.1109/supercompcloud51944.2020.00009
https://doi.org/10.1109/supercompcloud51944.2020.00009
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030447274
Large scale experimental facilities such as the Swiss Light Source and the free-electron X-ray laser SwissFEL at the Paul Scherrer Institute, and the particle accelerators and detectors at CERN are experiencing unprecedented data generation growth ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ef824a9f2095416cf5d52e1b986570
https://doi.org/10.1007/978-3-030-44728-1_10
https://doi.org/10.1007/978-3-030-44728-1_10
Autor:
Guilherme Peretti-Pezzi, Miguel Gila, William Sawyer, Rafael Sarmiento, Vasileios Karakasis, Maxime Martinasso
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e72bae438be91a874e0e5bf49e3bcfab
https://doi.org/10.1002/cpe.5543
https://doi.org/10.1002/cpe.5543
Autor:
Maxime Martinasso, Colin McMurtrie, Thomas C. Schulthess, Sadaf R. Alam, Mauro Bianco, Miguel Gila
Publikováno v:
SC
Leading hybrid and heterogeneous supercomputing systems process hundreds of thousands of jobs using complex scheduling algorithms and parameters. The centers operating these systems aim to achieve higher levels of resource utilization while being res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfea0951123dba5344cb763efdaf8d1
https://doi.org/10.1109/sc.2018.00028
https://doi.org/10.1109/sc.2018.00028
Autor:
Kengo Nakajima, Maxime Martinasso, Thomas C. Schulthess, Tsuyoshi Ichimura, Christopher Zimmer, Kohei Fujita, Jack C. Wells, Akira Naruse, Takuma Yamaguchi, Lalith Maddegedara, Muneo Hori, Tjerk Straatsma
Publikováno v:
SC
To address problems that occur due to earthquake in urban areas, we propose a method that utilizes artificial intelligence (AI) and transprecision computing to accelerate a nonlinear dynamic low-order unstructured finite-element solver. The AI is use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0454bba74b7f8af4c398ba6789a72837
https://doi.org/10.1109/sc.2018.00052
https://doi.org/10.1109/sc.2018.00052
Autor:
Maxime Martinasso, Grzegorz Kwasniewski, Sadaf R. Alam, Thomas C. Schulthess, Torsten Hoefler
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a8ab3371caf7c9687a14c59796f7952
https://doi.org/10.1109/sc.2016.62
https://doi.org/10.1109/sc.2016.62