Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Marc Casas"'
Autor:
Marc Casas Rondoní
Publikováno v:
Revista Catalana de Dret Públic, Vol 0, Iss 42 (2011)
La reforma de l'Estatut d'autonomia de Catalunya de 2006 va comportar un pas important en l'evolució de l'Estat autonòmic: va aportar innovacions rellevants en l'esfera juridicopública que posteriorment van ésser traslladades, en major o menor gr
Externí odkaz:
https://doaj.org/article/c6adb8e703744546a57772f12b88fc7e
Publikováno v:
Future Generation Computer Systems. 143:152-162
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44eb844717d213a9d7773443ed78c2c
https://doi.org/10.1016/j.future.2023.01.015
https://doi.org/10.1016/j.future.2023.01.015
Autor:
Xavier Buñuel, Teresa Alcoverro, Jordi Boada, Leire Zinkunegi, Timothy M. Smith, Anaïs Barrera, Marc Casas, Simone Farina, Marta Pérez, Javier Romero, Rohan Arthur, Jordi F. Pagès
Publikováno v:
Oikos.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429fe84dbf5da270907ea45bd490ea0b
https://doi.org/10.1111/oik.09520
https://doi.org/10.1111/oik.09520
This paper demonstrates that state-of-the-art proposals to compute convolutions on architectures with CPUs supporting SIMD instructions deliver poor performance for long SIMD lengths due to frequent cache conflict misses. We first discuss how to adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f4517c9f176b65e3411d97755f478e
https://hdl.handle.net/2117/387544
https://hdl.handle.net/2117/387544
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72816afba0efaa54bb1b1807b3aafe31
https://doi.org/10.1007/978-3-031-26419-1_29
https://doi.org/10.1007/978-3-031-26419-1_29
Publikováno v:
2022 IEEE/ACM 7th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b996046de5800a62e7e13229fe51233a
https://doi.org/10.1109/espm256814.2022.00006
https://doi.org/10.1109/espm256814.2022.00006
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Fused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, which has motivated the adopti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::823fc95f064879d044fd15401ab7379c
https://hdl.handle.net/2117/373614
https://hdl.handle.net/2117/373614
Autor:
Alexandre E. Eichenberger, Cristobal Ortega, Ramon Bertran, Marc Casas, Miquel Moreto, Pradip Bose, Lluc Alvarez, Alper Buyuktosunoglu
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Current microprocessors include several knobs to modify the hardware behavior in order to improve performance, power, and energy under different workload demands. An impractical and time consuming offline profiling is needed to evaluate the design sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ed4931528a11ba924b99af57d64e489
https://doi.org/10.1109/tc.2020.2980230
https://doi.org/10.1109/tc.2020.2980230
Autor:
Ferran Plana Rius, Mark P. Philipsen, Josep Maria Mirats Tur, Thomas B. Moeslund, Cecilio Angulo Bahón, Marc Casas
Publikováno v:
Water; Volume 14; Issue 3; Pages: 333
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Rius, F P, Philipsen, M P, Tur, J M M, Moeslund, T B, Bahón, C A & Casas, M 2022, ' Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data ', Water (Switzerland), vol. 14, no. 3, 333 . https://doi.org/10.3390/w14030333
Water, Vol 14, Iss 333, p 333 (2022)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Rius, F P, Philipsen, M P, Tur, J M M, Moeslund, T B, Bahón, C A & Casas, M 2022, ' Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data ', Water (Switzerland), vol. 14, no. 3, 333 . https://doi.org/10.3390/w14030333
Water, Vol 14, Iss 333, p 333 (2022)
More frequent and thorough inspection of sewer pipes has the potential to save billions in utilities. However, the amount and quality of inspection are impeded by an imprecise and highly subjective manual process. It involves technicians judging stre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234206d98da3b8fd7a300574b1d9d9ec
Autor:
Robin Kumar Sharma, Marc Casas
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
This paper proposes a novel parallel execution model for Bidirectional Recurrent Neural Networks (BRNNs), B-Par (Bidirectional-Parallelization), which exploits data and control dependencies for forward and reverse input computations. B-Par divides BR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9230f37be0772c87236b902846605c49
https://hdl.handle.net/2117/372842
https://hdl.handle.net/2117/372842