OSCA: End-to-End Serial Stochastic Computing Neural Acceleration with Fine-Grained Scaling and Piecewise Activation

End-to-end stochastic computing (SC) emerges as a promising paradigm for efficient neural acceleration. However, existing serial SC accelerators face serious accuracy challenges due to errors in addition, limited activation compatibility, and limited bitstream multiplication. In this paper, we propo...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design S. 1 - 9
Hauptverfasser:	Hu, Yixuan, Jia, Yikang, Li, Meng, Wang, Yuan, Wang, Runsheng, Huang, Ru
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 27.10.2024
Schlagworte:	Accuracy Adders Binary sequences Circuit synthesis Correlation Design automation End-to-end serial stochastic computing Faces Fine-grained scaling Piecewise activation function Quantization (signal) Root mean square
ISSN:	1558-2434
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!