Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Labarta Mancho, Jesús José"'
Autor:
Ali, Omar Shaaban Ibrahim, Aguilar Mena, Jimmy, Beltran Querol, Vicenç, Carpenter, Paul Matthew, Ayguadé Parra, Eduard, Labarta Mancho, Jesús José
Publikováno v:
2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).
Task-based programming is a high performance and productive model to express parallelism. Tasks encapsulate work to be executed across multiple cores or offloaded to GPUs, FPGAs, other accelerators or other nodes. In order to maintain parallelism and
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::313b454a992f87dee04565ac0918323e
http://hdl.handle.net/2117/167734
http://hdl.handle.net/2117/167734
Autor:
Parés Pont, Ferran, Garcia Gasulla, Dario|||0000-0001-6732-5641, Servat, Harald, Labarta Mancho, Jesús José|||0000-0002-7489-4727, Ayguadé Parra, Eduard|||0000-0002-5146-103X
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
High-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks is sub-optimal for many tasks, and has too many drawbacks to be consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::69697628f7574305d23d07d3b6255e34
http://hdl.handle.net/2117/193028
http://hdl.handle.net/2117/193028
Autor:
Pérez Arnal, Raquel Leandra|||0000-0002-0041-8146, Garcia Gasulla, Dario|||0000-0001-6732-5641, Torrents Rodas, David, Pares, Ferran, Cortés García, Claudio Ulises|||0000-0003-0192-3096, Labarta Mancho, Jesús José|||0000-0002-7489-4727, Ayguadé Parra, Eduard|||0000-0002-5146-103X
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released dataset of chromosome rearrangements in 2,586 cancer patients, where differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8fa5fd1c7318cd56fc2ee8ba880bb192
https://hdl.handle.net/2117/186309
https://hdl.handle.net/2117/186309
Autor:
Valero-Lara, Pedro, Sirvent, Raul, Pena, A. J., Martorell Bofill, Xavier, Labarta Mancho, Jesús José
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
The simulation of the behavior of the Human Brain is one of the most ambitious challenges today with a non-end of important applications. We can find many different initiatives in the USA, Europe and Japan which attempt to achieve such a challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0c02f99e3e41f8aaf53e89e1d66368ae
Autor:
Vilalta Arias, Armand, Garcia Gasulla, Dario|||0000-0001-6732-5641, Parés Pont, Ferran, Moreno Vázquez, Jonatan, Ayguadé Parra, Eduard|||0000-0002-5146-103X, Labarta Mancho, Jesús José|||0000-0002-7489-4727, Cortés García, Claudio Ulises|||0000-0003-0192-3096, Suzumura, Toyotaro
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
The current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this paper we evaluate the impact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d281f020c9ad0066bd66f00939530df
http://arxiv.org/abs/1707.09872
http://arxiv.org/abs/1707.09872
Autor:
Valero-Lara, Pedro, Martinez-Perez, Ivan, Peña, Antonio J., Martorell Bofill, Xavier, Sirvent, Raul, Labarta Mancho, Jesús José
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
The simulation of the behavior of the Human Brain is one of the most important challenges today in computing. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulations need, us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28bebf030be43bef170ad8d0696ffe3a
Autor:
Chronaki, Kallia, Moreto Planas, Miquel, Casas Guix, Marc, Rico, Alejandro, Badia Sala, Rosa Maria, Ayguadé Parra, Eduard, Labarta Mancho, Jesús José, Valero Cortés, Mateo
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Energy efficiency has become the main challenge for high performance computing (HPC). The use of mobile asymmetric multi-core architectures to build future multi-core systems is an approach towards energy savings while keeping high performance. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fb33491d4e6c1179c2d3d5312cfd3f10
http://hdl.handle.net/2117/96641
http://hdl.handle.net/2117/96641
Autor:
García Gasulla, Darío, Moreno, Jonatan, Ramos-Pollan, Raúl, Casadiegos Barrios, Romel, Béjar Alonso, Javier, Cortés García, Claudio Ulises, Ayguadé Parra, Eduard, Labarta Mancho, Jesús José, Suzumura, Toyotaro
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Convolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative CNNs, little is yet kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::76b4e33495bee5ac3b3175c5ecbc10d2
Autor:
Rosas, Claudia|||0000-0002-7814-0359, Giménez Lucas, Judit, Labarta Mancho, Jesús José|||0000-0002-7489-4727
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
In the road to exascale computing, the inference of expected performance of parallel applications results in a complex task. Performance analysts need to identify the behavior of the applications and to extrapolate it to nonexistent machines. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7955fe7e7baa8a500ac022b62af69cd1
https://hdl.handle.net/2099/16535
https://hdl.handle.net/2099/16535