Zobrazeno 1 - 10
of 578
pro vyhledávání: '"Orti, Enrique"'
Autor:
de Parga, S. Ares, Bravo, J. R., Sibuet, N., Hernandez, J. A., Rossi, R., Boschert, Stefan, Quintana-Ortí, Enrique S., Tomás, Andrés E., Tatu, Cristian Cătălin, Vázquez-Novoa, Fernando, Ejarque, Jorge, Badia, Rosa M.
The integration of Reduced Order Models (ROMs) with High-Performance Computing (HPC) is critical for developing digital twins, particularly for real-time monitoring and predictive maintenance of industrial systems. This paper describes a comprehensiv
Externí odkaz:
http://arxiv.org/abs/2409.09080
Autor:
Lei, Jie, Quintana-Ortí, Enrique S.
This paper investigates the design of parallel general matrix multiplication (GEMM) for a Versal Adaptive Compute Accelerated Platform (ACAP) equipped with a VC1902 system-on-chip and multiple Artificial Intelligence Engines (AIEs). Our efforts aim t
Externí odkaz:
http://arxiv.org/abs/2404.15043
Publikováno v:
High Performance Computing. ISC High Performance 2022 International Workshops. ISC High Performance 2022. Lecture Notes in Computer Science, vol 13387. Springer, Cham
The devices designed for the Internet-of-Things encompass a large variety of distinct processor architectures, forming a highly heterogeneous zoo. In order to tackle this, we employ a simulator to estimate the performance of the matrix-matrix multipl
Externí odkaz:
http://arxiv.org/abs/2403.07731
Publikováno v:
The International Journal of High Performance Computing Applications. 2023;37(3-4):380-393
We investigate the solution of low-rank matrix approximation problems using the truncated SVD. For this purpose, we develop and optimize GPU implementations for the randomized SVD and a blocked variant of the Lanczos approach. Our work takes advantag
Externí odkaz:
http://arxiv.org/abs/2403.06218
The number and complexity of artificial intelligence (AI) applications is growing relentlessly. As a result, even with the many algorithmic and mathematical advances experienced over past decades as well as the impressive energy efficiency and comput
Externí odkaz:
http://arxiv.org/abs/2312.09971
Autor:
Alaejos, Guillermo, Castelló, Adrián, Alonso-Jordá, Pedro, Igual, Francisco D., Martínez, Héctor, Quintana-Ortí, Enrique S.
We explore the utilization of the Apache TVM open source framework to automatically generate a family of algorithms that follow the approach taken by popular linear algebra libraries, such as GotoBLAS2, BLIS and OpenBLAS, in order to obtain high-perf
Externí odkaz:
http://arxiv.org/abs/2310.20347
Autor:
Martínez, Héctor, Catalán, Sandra, Igual, Francisco D., Herrero, José R., Rodríguez-Sánchez, Rafael, Quintana-Ortí, Enrique S.
This paper advocates for an intertwined design of the dense linear algebra software stack that breaks down the strict barriers between the high-level, blocked algorithms in LAPACK (Linear Algebra PACKage) and the low-level, architecture-dependent ker
Externí odkaz:
http://arxiv.org/abs/2304.14480
The remarkable positive impact of Deep Neural Networks on many Artificial Intelligence (AI) tasks has led to the development of various high performance algorithms as well as specialized processors and accelerators. In this paper we address this scen
Externí odkaz:
http://arxiv.org/abs/2302.07594
Autor:
Ejarque, Jorge, Badia, Rosa M., Albertin, Loïc, Aloisio, Giovanni, Baglione, Enrico, Becerra, Yolanda, Boschert, Stefan, Berlin, Julian R., D'Anca, Alessandro, Elia, Donatello, Exertier, François, Fiore, Sandro, Flich, José, Folch, Arnau, Gibbons, Steven J, Koldunov, Nikolay, Lordan, Francesc, Lorito, Stefano, Løvholt, Finn, Macías, Jorge, Marozzo, Fabrizio, Michelini, Alberto, Monterrubio-Velasco, Marisol, Pienkowska, Marta, de la Puente, Josep, Queralt, Anna, Quintana-Ortí, Enrique S., Rodríguez, Juan E., Romano, Fabrizio, Rossi, Riccardo, Rybicki, Jedrzej, Kupczyk, Miroslaw, Selva, Jacopo, Talia, Domenico, Tonini, Roberto, Trunfio, Paolo, Volp, Manuela
Publikováno v:
Future Generation Computer Systems, Volume 134, Pages 414-429, ISSN 0167-739X, Elsevier, 2022
The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The complexity comes not only from the number of elements that compose the w
Externí odkaz:
http://arxiv.org/abs/2204.09287
Autor:
Sanz-Villafruela, Juan, Bermejo-Casadesus, Cristina, Zafon, Elisenda, Martínez-Alonso, Marta, Durá, Gema, Heras, Aranzazu, Soriano-Díaz, Iván, Giussani, Angelo, Ortí, Enrique, Tebar, Francesc, Espino, Gustavo, Massaguer, Anna
Publikováno v:
In European Journal of Medicinal Chemistry 5 October 2024 276
