Assessing the Configuration Space of the Open Source NVDLA Deep Learning Accelerator on a Mainstream MPSoC Platform. - Alessandro Veronesi; Davide Bertozzi; Milos Krstic (VLSI-SoC (Selected Papers), 2020)

Cross-Layer Hardware/Software Assessment of the Open-Source NVDLA Configurable Deep Learning Accelerator. - Alessandro Veronesi; Milos Krstic; Davide Bertozzi (VLSI-SOC, 2020)

Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study. - Alessandro Veronesi; Francesco Dall'Occo; Davide Bertozzi; Michele Favalli; Milos Krstic (DDECS, 2022)

Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins. - Markus Fritscher; Alessandro Veronesi; Andrea Baroni; Jianan Wen; Thorsten Spätling; Mamathamba Kalishettyhalli Mahadevaiah; Norbert Herfurth; Eduardo Pérez; Markus Ulbricht 002; Marc Reichenbach; Amelie Hagelauer; Milos Krstic (ISC Workshops, 2023)

Cross-Layer Reliability Analysis of NVDLA Accelerators: Exploring the Configuration Space. - Alessandro Veronesi; Alessandro Nazzari; Dario Passarello; Milos Krstic; Michele Favalli; Luca Cassano; Antonio Miele; Davide Bertozzi; Cristiana Bolchini (ETS, 2024)

Reliability Assessment of Large DNN Models: Trading Off Performance and Accuracy. - Junchao Chen 001; Giuseppe Esposito; Fernando Fernandes dos Santos; Juan-David Guerrero-Balaguera; Angeliki Kritikakou; Milos Krstic; Robert Limas Sierra; Josie E. Rodriguez Condia; Matteo Sonza Reorda; Marcello Traiola; Alessandro Veronesi (VLSI-SoC, 2024)

An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing. - Zhe Su; Simone Ramini; Demetra Coffen Marcolin; Alessandro Veronesi; Milos Krstic; Giacomo Indiveri; Davide Bertozzi; Steven M. Nowick (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)