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Gianna Paulin
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2020 – today
- 2024
- [j3]Francesco Conti
, Gianna Paulin
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing. IEEE J. Solid State Circuits 59(1): 128-142 (2024) - [c7]Gianna Paulin, Paul Scheffler, Thomas Benz, Matheus A. Cavalcante, Tim Fischer, Manuel Eggimann, Yichao Zhang, Nils Wistoff, Luca Bertaccini, Luca Colagrande, Gianmarco Ottavi, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-Based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET. VLSI Technology and Circuits 2024: 1-2 - [i8]Gianna Paulin, Paul Scheffler, Thomas Benz, Matheus A. Cavalcante, Tim Fischer, Manuel Eggimann, Yichao Zhang, Nils Wistoff, Luca Bertaccini, Luca Colagrande, Gianmarco Ottavi, Frank K. Gürkaynak, Davide Rossi, Luca Benini:
Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET. CoRR abs/2406.15068 (2024) - 2023
- [c6]Manil Dev Gomony
PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE 2023: 1-6 - [c5]Gamze Islamoglu
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. ISLPED 2023: 1-6 - [c4]Francesco Conti, Davide Rossi, Gianna Paulin
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. ISSCC 2023: 326-327 - [i7]Francesco Conti, Gianna Paulin, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini:
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing. CoRR abs/2305.08415 (2023) - [i6]Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini:
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. CoRR abs/2307.03493 (2023) - 2022
- [j2]Gianna Paulin
Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference. IEEE Trans. Circuits Syst. I Regul. Pap. 69(1): 244-257 (2022) - [c3]Luca Bertaccini, Gianna Paulin
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores. ARITH 2022: 1-8 - [c2]Gianna Paulin
Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters. ISVLSI 2022: 44-49 - [i5]Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini:
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. CoRR abs/2202.07462 (2022) - [i4]Luca Bertaccini, Gianna Paulin, Tim Fischer, Stefan Mach, Luca Benini:
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores. CoRR abs/2207.03192 (2022) - [i3]Gianna Paulin, Matheus A. Cavalcante
Soft Tiles: Capturing Physical Implementation Flexibility for Tightly-Coupled Parallel Processing Clusters. CoRR abs/2209.00889 (2022) - [i2]Manil Dev Gomony
CONVOLVE: Smart and seamless design of smart edge processors. CoRR abs/2212.00873 (2022) - 2021
- [j1]Gianna Paulin
RNN-Based Radio Resource Management on Multicore RISC-V Accelerator Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29(9): 1624-1637 (2021)
2010 – 2019
- 2018
- [c1]Francesco Conti, Lukas Cavigelli, Gianna Paulin
Chipmunk: A systolically scalable 0.9 mm2, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference. CICC 2018: 1-4 - 2017
- [i1]Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini:
Chipmunk: A Systolically Scalable 0.9 mm2, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference. CoRR abs/1711.05734 (2017)
Coauthor Index
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