Amber: Coarse-Grained Reconfigurable Array-Based SoC for Dense Linear Algebra Acceleration

Dedicated hardware accelerators popular for imaging, vision, and machine learning (ML) applications

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Bibliographic Details
Main Authors: Feng, Kathleen, Carsello, Alex, Kong, Taeyoung, Koul, Kalhan, Liu, Qiaoyi, Melchert, Jackson, Nyengele, Gedeon, Strange, Maxwell, Zhang, Keyi, Nayak, Ankita, Setter, Jeff, Thomas, James, Sreedhar, Kavya, Chen, Po-Han, Bhagdikar, Nikhil, Myers, Zachary, D'Agostino, Brandon, Joshi, Pranil, Richardson, Stephen, Bahr, Rick, Torng, Christopher, Horowitz, Mark, Raina, Priyanka
Format: Conference Proceeding
Language:English
Subjects:
Hardware acceleration
Imaging
Linear algebra
Machine learning
Online Access:Request full text
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Description
Summary:Dedicated hardware accelerators popular for imaging, vision, and machine learning (ML) applications
ISSN:2573-2048
DOI:10.1109/HCS55958.2022.9895616