Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud

Neural networks (NNs) are growing in importance and complexity. A neural network's performance (and energy efficiency) can be bound either by computation or memory resources. The processing-in-memory (PIM) paradigm, where computation is placed near or within memory arrays, is a viable solution...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Oliveira, Geraldo F, Gómez-Luna, Juan, Ghose, Saugata, Boroumand, Amirali, Mutlu, Onur
Format:	Artikel
Sprache:	eng
Schlagworte:	Architecture Cloud computing Computer architecture Computer memory Energy efficiency Graphics processing units Mathematical analysis Matrix algebra Neural networks
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!