A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End
Inference of Real-World Deep Neural Networks

A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks

4 January 2022

Angelo Garofalo

Francesco Conti

Luca Benini

Papers citing "A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks"

6 / 6 papers shown

Title
Open-Source Heterogeneous SoCs for AI: The PULP Platform Experience Francesco Conti Angelo Garofalo D. Rossi Giuseppe Tagliavini Luca Benini 26 0 0 31 Dec 2024
Zero-shot Classification using Hyperdimensional Computing Samuele Ruffino G. Karunaratne Michael Hersche Luca Benini Abu Sebastian Abbas Rahimi VLM 29 1 0 30 Jan 2024
Modern Computing: Vision and Challenges S. Gill Huaming Wu Panos Patros Carlo Ottaviani Priyansh Arora ... Salil S. Kanhere Schahram Dustdar Steve Uhlig K. Ramamohanarao Rajkumar Buyya 39 89 0 04 Jan 2024
DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory Cenlin Duan Jianlei Yang Xiaolin He Yingjie Qi Yikun Wang ... Bonan Yan Xueyan Wang Xiaotao Jia Weitao Pan Weisheng Zhao 21 5 0 31 Oct 2023
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture Nazareno Bruschi Giuseppe Tagliavini Angelo Garofalo Francesco Conti I. Boybat Luca Benini D. Rossi 30 2 0 23 Nov 2022
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator Chuteng Zhou F. García-Redondo Julian Büchel I. Boybat Xavier Timoneda Comas S. Nandakumar Shidhartha Das Abu Sebastian Manuel Le Gallo P. Whatmough 33 16 0 10 Nov 2021