Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Filippo Mantovani"'
Publikováno v:
Open Research Europe, Vol 4 (2024)
Ab initio electronic structure applications are among the most widely used in High-Performance Computing (HPC), and the eigenvalue problem is often their main computational bottleneck. This article presents our initial efforts in porting these codes
Externí odkaz:
https://doaj.org/article/db12896a45b1479cb634d57e14db1c51
Publikováno v:
Information, Vol 14, Iss 10, p 554 (2023)
Top-Down models are defined by hardware architects to provide information on the utilization of different hardware components. The target is to isolate the users from the complexity of the hardware architecture while giving them insight into how effi
Externí odkaz:
https://doaj.org/article/55f41feb566043159e01811bb2f9a33b
Publikováno v:
Future Generation Computer Systems. 143:152-162
Autor:
Carlos Puerto-Santana, Concha Bielza, Javier Diaz-Rozo, Guillem Ramirez-Gargallo, Filippo Mantovani, Gaizka Virumbrales, Jesus Labarta, Pedro Larranaga
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
IEEE Internet of Things Journal, ISSN 2327-4662, 2022-10, Vol. 9, No. 20
Universitat Politècnica de Catalunya (UPC)
IEEE Internet of Things Journal, ISSN 2327-4662, 2022-10, Vol. 9, No. 20
The degradation of critical components inside large industrial assets, such as ball-bearings, has a negative impact on production facilities, reducing the availability of assets due to an unexpectedly high failure rate. Machine learning- based monito
Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector extension of RISCV are appearing as promising solutions on the supercomputing market. These architectures often require re-coding of scientific kerne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac361e40cb5bfef90a45e594701cc8d2
https://hdl.handle.net/2117/376024
https://hdl.handle.net/2117/376024
Autor:
Giovanni Landoni, Claudio Brambillasca, Martina Baiardo Redaelli, Nikola Bradić, Lian Kah Ti, Zdenko Povšić-Čevra, Valery A. Nepomniashchikh, Giuseppe Biondi Zoccai, Fabrizio D'Ascenzo, Enrico Romagnoli, Anna Mara Scandroglio, Andrea Ballotta, Nicola Rondello, Annalisa Franco, Cristiano Massaro, Cristina Viscido, Maria Grazia Calabrò, Eugenio Garofalo, Flaminia Canichella, Fabrizio Monaco, Luca Severi, Antonio Pisano, Gaia Barucco, Maria Venditto, Francesco Federici, Margherita Licheri, Gianluca Paternoster, Annachiara Trompeo, Alessandro Belletti, Lorenzo Filippo Mantovani, Romina Perone, Giuseppe Dalessandro, Daniel Kroeller, Dorela Haxhiademi, Carola Galbiati, Vincenzo Francesco Tripodi, Giuseppe Giardina, Rosalba Lembo, Cristina Nakhnoukh, Fabio Guarracino, Federico Longhini, Tiziana Bove, Alberto Zangrillo, Rinaldo Bellomo, Evgeny Fominskiy
Postoperative acute kidney injury (AKI) is frequent in cardiac surgery patients. Its pathophysiology is complex and involves decreased renal perfusion. Preliminary clinical evidence in critically ill patients shows that amino acids infusion increases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790cd589b9c6fe50c8c499a4538705a4
https://www.bib.irb.hr/1238404
https://www.bib.irb.hr/1238404
Publikováno v:
PPoPP
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Sparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV to frequently experiment non-opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98e14d595764c22a08eb6bce1a3ebef
https://hdl.handle.net/2117/349246
https://hdl.handle.net/2117/349246
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Euro-Par 2021: Parallel Processing Workshops ISBN: 9783031061554
Universitat Politècnica de Catalunya (UPC)
Euro-Par 2021: Parallel Processing Workshops ISBN: 9783031061554
Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector extension of RISCV are appearing as promising solutions on the supercomputing market. These architectures often require re-coding of scientific kerne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::577323ee803de45c369f8ff26da3764a
http://hdl.handle.net/2117/373905
http://hdl.handle.net/2117/373905
Autor:
David Vicente, Joan Vinyals, Guillem Ramirez-Gargallo, Filippo Mantovani, Fabio Banchelli, Marta Garcia-Gasulla, Kilian Peiro
Publikováno v:
2021 IEEE International Conference on Cluster Computing (CLUSTER)
CLUSTER
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
CLUSTER
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Clusters of emerging technologies are appearing with more and more frequency in HPC. After years of skepticism, data-centers are adopting them as production systems thanks to several geopolitical and technological factors. The most honorable example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a07e25d9d23d5ade329d74a4ac93921
https://hdl.handle.net/2117/357083
https://hdl.handle.net/2117/357083
Autor:
Marta Garcia-Gasulla, Fabio Banchelli, Filippo Mantovani, Ismaïl Ben Hassan Saïdi, Ivan Spisso, Kilian Peiro, Guillaume Houzeaux, Guillem Ramirez-Gargallo, Christian Tenaud
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
International Journal of Computational Fluid Dynamics
International Journal of Computational Fluid Dynamics, Taylor & Francis, 2020, 34 (7-8), pp.508-528. ⟨10.1080/10618562.2020.1778168⟩
HAL
International Journal of Computational Fluid Dynamics, Taylor & Francis, 2020, 34, pp.508-528
Universitat Politècnica de Catalunya (UPC)
International Journal of Computational Fluid Dynamics
International Journal of Computational Fluid Dynamics, Taylor & Francis, 2020, 34 (7-8), pp.508-528. ⟨10.1080/10618562.2020.1778168⟩
HAL
International Journal of Computational Fluid Dynamics, Taylor & Francis, 2020, 34, pp.508-528
For complex engineering and scientific applications, Computational Fluid Dynamics (CFD) simulations require a huge amount of computational power. As such, it is of paramount importance to carefully assess the performance of CFD codes and to study the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a5f88e29a26de6e3d67097e4f9e7b9b
https://hdl.handle.net/2117/345955
https://hdl.handle.net/2117/345955