Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ringlein, Burkhard"'
Autor:
Pilato, Christian, Banik, Subhadeep, Beranek, Jakub, Brocheton, Fabien, Castrillon, Jeronimo, Cevasco, Riccardo, Cmar, Radim, Curzel, Serena, Ferrandi, Fabrizio, Friebel, Karl F. A., Galizia, Antonella, Grasso, Matteo, Silva, Paulo, Martinovic, Jan, Palermo, Gianluca, Paolino, Michele, Parodi, Andrea, Parodi, Antonio, Pintus, Fabio, Polig, Raphael, Poulet, David, Regazzoni, Francesco, Ringlein, Burkhard, Rocco, Roberto, Slaninova, Katerina, Slooff, Tom, Soldavini, Stephanie, Suchert, Felix, Tibaldi, Mattia, Weiss, Beat, Hagleitner, Christoph
Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately support decision-making. These energy-hungry workflows are increasingly e
Externí odkaz:
http://arxiv.org/abs/2402.12612
Autor:
de Haro Ruiz, Juan Miguel, Martínez, Carlos Álvarez, Jiménez-González, Daniel, Martorell, Xavier, Ueno, Tomohiro, Sano, Kentaro, Ringlein, Burkhard, Abel, François, Weiss, Beat
Publikováno v:
In Future Generation Computer Systems November 2024 160:808-824
Autor:
Diamantopoulos, Dionysios, Polig, Raphael, Ringlein, Burkhard, Purandare, Mitra, Weiss, Beat, Hagleitner, Christoph, Lantz, Mark, Abel, Francois
The evolution of cloud applications into loosely-coupled microservices opens new opportunities for hardware accelerators to improve workload performance. Existing accelerator techniques for cloud sacrifice the consolidation benefits of microservices.
Externí odkaz:
http://arxiv.org/abs/2106.06293
Autor:
Diamantopoulos, Dionysios, Ringlein, Burkhard, Purandare, Mitra, Singh, Gagandeep, Hagleitner, Christoph
Specialized accelerators for tensor-operations, such as blocked-matrix operations and multi-dimensional convolutions, have been emerged as powerful architecture choices for high-performance Deep-Learning computing. The rapid development of frameworks
Externí odkaz:
http://arxiv.org/abs/2004.10854
Akademický článek
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Immersive and interactive experiences offered by virtual world simulations (VWS) are becoming increasingly indispensable in today's digital era, particularly in domains such as gaming, engineering, and education. Cloud computing provides a compelling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::a68c436955f3b0a799f29100e4e130a1
https://zenodo.org/record/8135475
https://zenodo.org/record/8135475
Autor:
Ringlein, Burkhard, Abel, Francois, Diamantopoulos, Dionysios, Weiss, Beat, Hagleitner, Christoph, Fey, Dietmar
The computational requirements of artificial intelligence workloads are growing exponentially. In addition, moreand more compute is moved towards the edge due to latencyor localization constraints. At the same time, Dennard scalinghas ended and Moore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::3be7a5da7577677fdc6c50ae07074150
https://zenodo.org/record/8099350
https://zenodo.org/record/8099350
Autor:
Ringlein, Burkhard
Unofficial online version of the PhD thesis of Burkhard Ringlein submitted at the Faculty of Engineering of the Friedrich-Alexander-University Erlangen-Nürnberg in 2022 and published at Verlag Dr. Hut in 2023. The winding down of Moore’s law and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a9bfb91e077881f19ac9dcec93be43c
Akademický článek
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Akademický článek
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