Zobrazeno 1 - 10
of 3 899
pro vyhledávání: '"Bertaccini A"'
Autor:
Paulin, Gianna, Scheffler, Paul, Benz, Thomas, Cavalcante, Matheus, Fischer, Tim, Eggimann, Manuel, Zhang, Yichao, Wistoff, Nils, Bertaccini, Luca, Colagrande, Luca, Ottavi, Gianmarco, Gürkaynak, Frank K., Rossi, Davide, Benini, Luca
We present Occamy, a 432-core RISC-V dual-chiplet 2.5D system for efficient sparse linear algebra and stencil computations on FP64 and narrow (32-, 16-, 8-bit) SIMD FP data. Occamy features 48 clusters of RISC-V cores with custom extensions, two 64-b
Externí odkaz:
http://arxiv.org/abs/2406.15068
Autor:
Potocnik, Viviane, Colagrande, Luca, Fischer, Tim, Bertaccini, Luca, Pagliari, Daniele Jahier, Burrello, Alessio, Benini, Luca
Transformer-based foundation models have become crucial for various domains, most notably natural language processing (NLP) or computer vision (CV). These models are predominantly deployed on high-performance GPUs or hardwired accelerators with highl
Externí odkaz:
http://arxiv.org/abs/2405.19284
Autor:
Sinigaglia, Mattia, Bertaccini, Luca, Valente, Luca, Garofalo, Angelo, Benatti, Simone, Benini, Luca, Conti, Francesco, Rossi, Davide
Emerging applications in the IoT domain require ultra-low-power and high-performance end-nodes to deal with complex near-sensor-data analytics. Domains such as audio, radar, and Structural Health Monitoring require many computations to be performed i
Externí odkaz:
http://arxiv.org/abs/2305.07325
The increasing interest in TinyML, i.e., near-sensor machine learning on power budgets of a few tens of mW, is currently pushing toward enabling TinyML-class training as opposed to inference only. Current training algorithms, based on various forms o
Externí odkaz:
http://arxiv.org/abs/2301.03904
Autor:
Tiziana Bertaccini
Publikováno v:
De Europa, Vol 7, Iss 2 (2024)
L’articolo apre uno spazio di riflessione sulla tensione generata dalle narrazioni anticoloniali latinoamericane che soggiace alla relazione con l’Unione Europea. Durante questo millennio le narrazioni anticoloniali proposte dai governi di alcune
Externí odkaz:
https://doaj.org/article/228d4a1d17964cf99fec706c35d76607
Autor:
Paulin, Gianna, Cavalcante, Matheus, Scheffler, Paul, Bertaccini, Luca, Zhang, Yichao, Gürkaynak, Frank, Benini, Luca
Modern high-performance computing architectures (Multicore, GPU, Manycore) are based on tightly-coupled clusters of processing elements, physically implemented as rectangular tiles. Their size and aspect ratio strongly impact the achievable operating
Externí odkaz:
http://arxiv.org/abs/2209.00889
Autor:
Andrea Cocci, Marta Pezzoli, Fernando Bianco, Franco Blefari, Pierluigi Bove, Francois Cornud, Gaetano De Rienzo, Paolo Destefanis, Danilo Di Trapani, Alessandro Giacobbe, Luca Giovanessi, Antonino Laganà, Giovanni Lughezzani, Guglielmo Manenti, Gianluca Muto, Gianluigi Patelli, Novello Pinzi, Stefano Regusci, Giorgio I. Russo, Juan I.M. Salamanca, Matteo Salvi, Luigi Silvestri, Fabrizio Verweij, Eric Walser, Riccardo G. Bertolo, Valerio Iacovelli, Alessandro Bertaccini, Debora Marchiori, Hugo Davila, Pasquale Ditonno, Paolo Gontero, Gennaro Iapicca, Theo M De Reijke, Vito Ricapito, Pierluca Pellegrini, Andrea Minervini, Sergio Serni, Francesco Sessa
Publikováno v:
Asian Journal of Urology, Vol 11, Iss 2, Pp 271-279 (2024)
Objective: To evaluate transperineal laser ablation (TPLA) with Echolaser® (Echolaser® TPLA, Elesta S.p.A., Calenzano, Italy) as a treatment for benign prostatic hyperplasia (BPH) and prostate cancer (PCa) using the Delphi consensus method. Methods
Externí odkaz:
https://doaj.org/article/42242771b7b7412db5d8115ef167a730
Publikováno v:
International Journal of Plant Biology, Vol 15, Iss 2, Pp 217-229 (2024)
Eggplant, or brinjal, is one of the most consumed and important tropical solanaceous vegetable crops grown worldwide. Little leaf is a disease associated with the presence of phytoplasmas especially widespread in brinjal in India. To clarify the epid
Externí odkaz:
https://doaj.org/article/800f0dc0a153433d9438f61a9badc70c
Low-precision formats have recently driven major breakthroughs in neural network (NN) training and inference by reducing the memory footprint of the NN models and improving the energy efficiency of the underlying hardware architectures. Narrow intege
Externí odkaz:
http://arxiv.org/abs/2207.03192
The fast proliferation of extreme-edge applications using Deep Learning (DL) based algorithms required dedicated hardware to satisfy extreme-edge applications' latency, throughput, and precision requirements. While inference is achievable in practica
Externí odkaz:
http://arxiv.org/abs/2204.11192