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DiffLight: Generative Diffusion Model Acceleration With Silicon Photonics

delete2026-04-01
delete0
PRE
AI
T
Tharini Suresh *
A
Afifi, Salma
P
Pasricha Sudeep
DOI：10.1109/MDAT.2025.3647759delete
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Abstract

Abstract

En 中文
Editor's notes: Diffusion models are a class of generative AI methods that are increasingly used in real-world applications to generate realistic content. This article designs a hardware accelerator using silicon photonics for diffusion models and experimentally demonstrates its efficacy. -Jana Doppa, Washington State University, USA
Keywords:
Diffusion models
Tuning
Optical network units
Optical buffering
Silicon photonics
Computer architecture
Vertical cavity surface emitting lasers
Optical modulation
Vectors
Performance evaluation
Diffusion Models
Stable Diffusion
Silicon Photonics
Optical Computing

Journal

I
IEEE Design & Test
IF:
1.9
Papers:
39
Citations:
0

Organization

C
Colorado State University System
Scholars:
1.3W
Papers: 1.0W
Citations: 3
Cited Papers

Cited Papers

No cited papers available