Výsledky vyhledávání - "Gianna Paulin"

22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing

Autor: Francesco Conti, Davide Rossi, Gianna Paulin, Anaelo Garofalo, Alfio Di Mauro, Georg Rutishauer, Gian marco Ottavi, Manuel Eggimann, Hayate Okuhara, Vincent Huard, Olivier Montfort, Lionel Jure, Nils Exibard, Pascal Gouedo, Mathieu Louvat, Emmanuel Botte, Luca Benini

Publikováno v: 2023 IEEE International Solid- State Circuits Conference (ISSCC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2fba52c4d9bb7248fae3d2f11d5e07e
https://doi.org/10.1109/isscc42615.2023.10067643

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RNN-Based Radio Resource Management on Multicore RISC-V Accelerator Architectures

Autor: Francesco Conti, Luca Benini, Gianna Paulin, Renzo Andri

Publikováno v: IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29:1624-1637

Radio resource management (RRM) is critical in 5G mobile communications due to its ubiquity on every radio device and its low latency constraints. The rapidly evolving RRM algorithms with low latency requirements combined with the dense and massive 5

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d32647f1a99cce970fe640197e46e9e
https://doi.org/10.1109/tvlsi.2021.3093242

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Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference

Autor: Francesco Conti, Lukas Cavigelli, Gianna Paulin, Luca Benini

Publikováno v: IEEE Transactions on Circuits and Systems I: Regular Papers, 69 (1)

Recurrent neural networks such as Long Short-Term Memories (LSTMs) learn temporal dependencies by keeping an internal state, making them ideal for time-series problems such as speech recognition. However, the output-to-input feedback creates distinct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6a284543fa44e69a935ee479e9f63a9
http://arxiv.org/abs/2202.07462

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Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters

Autor: Gianna Paulin, Matheus Cavalcante, Paul Scheffler, Luca Bertaccini, Yichao Zhang, Frank Gurkaynak, Luca Benini

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: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857c79d23369ba43f2201029b373fb84

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CHIPMUNK : A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference

Autor: Lukas Cavigelli, Luca Benini, Francesco Conti, Gianna Paulin, Igor Susmelj

Publikováno v: 2018 IEEE Custom Integrated Circuits Conference (CICC)
CICC

Recurrent neural networks (RNNs) are state-of-the-art in voice awareness/understanding and speech recognition. On-device computation of RNNs on low-power mobile and wearable devices would be key to applications such as zero-latency voice-based human-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0708295b142dc695eed46120baaa7ad9
https://hdl.handle.net/20.500.11850/272086

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