ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Huifan, Hu, Yun, Sheng, Caizhi, Qu, Yurui, Zhou, Pingqiang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reuse and Blend: Energy-Efficient Optical Neural Network Enabled by Weight Sharing
por: Xu, Bo, et al.
Publicado: (2024)
por: Xu, Bo, et al.
Publicado: (2024)
An Energy-Efficient RFET-Based Stochastic Computing Neural Network Accelerator
por: Lu, Sheng, et al.
Publicado: (2025)
por: Lu, Sheng, et al.
Publicado: (2025)
Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network
por: Yin, Ziang, et al.
Publicado: (2024)
por: Yin, Ziang, et al.
Publicado: (2024)
ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training
por: Bai, Kangbo, et al.
Publicado: (2026)
por: Bai, Kangbo, et al.
Publicado: (2026)
Energy-Efficient FPGA Framework for Non-Quantized Convolutional Neural Networks
por: Athanasiadis, Angelos, et al.
Publicado: (2025)
por: Athanasiadis, Angelos, et al.
Publicado: (2025)
Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks
por: Yang, Junyi, et al.
Publicado: (2024)
por: Yang, Junyi, et al.
Publicado: (2024)
Predictive Software Scheduling as an Early-Warning Hint Layer for Optical Engine Thermal Drift in Heterogeneous SoIC Packaging
por: Chung, Chi Fei
Publicado: (2026)
por: Chung, Chi Fei
Publicado: (2026)
Floating-Point Multiply-Add with Approximate Normalization for Low-Cost Matrix Engines
por: Alexandridis, Kosmas, et al.
Publicado: (2024)
por: Alexandridis, Kosmas, et al.
Publicado: (2024)
Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration
por: Wang, Xuan, et al.
Publicado: (2024)
por: Wang, Xuan, et al.
Publicado: (2024)
Cerberus: Cross-Layer ECC Co-Design for Robust and Efficient Memory Protection
por: Kim, Junhwan, et al.
Publicado: (2026)
por: Kim, Junhwan, et al.
Publicado: (2026)
Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators
por: Yoon, Hyunsung, et al.
Publicado: (2026)
por: Yoon, Hyunsung, et al.
Publicado: (2026)
Scalable Wavelength Arbitration for Microring-based DWDM Transceivers
por: Choi, Sunjin, et al.
Publicado: (2024)
por: Choi, Sunjin, et al.
Publicado: (2024)
A Hybrid-Domain Floating-Point Compute-in-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks
por: Yi, Zhiqiang, et al.
Publicado: (2025)
por: Yi, Zhiqiang, et al.
Publicado: (2025)
Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions
por: Pasricha, Sudeep
Publicado: (2024)
por: Pasricha, Sudeep
Publicado: (2024)
Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
por: Fang, Jiaxun, et al.
Publicado: (2025)
por: Fang, Jiaxun, et al.
Publicado: (2025)
HEANA: A Hybrid Time-Amplitude Analog Optical Accelerator with Flexible Dataflows for Energy-Efficient CNN Inference
por: Vatsavai, Sairam Sri, et al.
Publicado: (2024)
por: Vatsavai, Sairam Sri, et al.
Publicado: (2024)
A PVT-Resilient Subthreshold SRAM-Based In-Memory Computing Accelerator with In-Situ Regulation for Energy-Efficient Spiking Neural Networks
por: Kao, Shih-Hang, et al.
Publicado: (2026)
por: Kao, Shih-Hang, et al.
Publicado: (2026)
Efficient and Mathematically Robust Operations for Certified Neural Networks Inference
por: Geyer, Fabien, et al.
Publicado: (2024)
por: Geyer, Fabien, et al.
Publicado: (2024)
Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
por: Dumoulin, Joren, et al.
Publicado: (2025)
por: Dumoulin, Joren, et al.
Publicado: (2025)
A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips
por: Zhou, Wenyong, et al.
Publicado: (2025)
por: Zhou, Wenyong, et al.
Publicado: (2025)
OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
por: Sunny, Febin, et al.
Publicado: (2024)
por: Sunny, Febin, et al.
Publicado: (2024)
FETTA: Flexible and Efficient Hardware Accelerator for Tensorized Neural Network Training
por: Lu, Jinming, et al.
Publicado: (2025)
por: Lu, Jinming, et al.
Publicado: (2025)
Transimpedance Amplifier with Automatic Gain Control Based on Memristors for Optical Signal Acquisition
por: Hodisan, Sariel, et al.
Publicado: (2024)
por: Hodisan, Sariel, et al.
Publicado: (2024)
OptINC: Optical In-Network-Computing for Scalable Distributed Learning
por: Fei, Sijie, et al.
Publicado: (2026)
por: Fei, Sijie, et al.
Publicado: (2026)
Systolic Array Data Flows for Efficient Matrix Multiplication in Deep Neural Networks
por: Raja, Tejas
Publicado: (2024)
por: Raja, Tejas
Publicado: (2024)
FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control
por: Li, Tenglong, et al.
Publicado: (2026)
por: Li, Tenglong, et al.
Publicado: (2026)
High Utilization Energy-Aware Real-Time Inference Deep Convolutional Neural Network Accelerator
por: Lin, Kuan-Ting, et al.
Publicado: (2025)
por: Lin, Kuan-Ting, et al.
Publicado: (2025)
SafeLight: Enhancing Security in Optical Convolutional Neural Network Accelerators
por: Afifi, Salma, et al.
Publicado: (2024)
por: Afifi, Salma, et al.
Publicado: (2024)
MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization
por: Kim, Seeyeon, et al.
Publicado: (2026)
por: Kim, Seeyeon, et al.
Publicado: (2026)
Voxel-CIM: An Efficient Compute-in-Memory Accelerator for Voxel-based Point Cloud Neural Networks
por: Lin, Xipeng, et al.
Publicado: (2024)
por: Lin, Xipeng, et al.
Publicado: (2024)
Efficient Page Migration in Hybrid Memory Systems
por: Upasna, et al.
Publicado: (2026)
por: Upasna, et al.
Publicado: (2026)
Shifting in-DRAM
por: Tegge, William C., et al.
Publicado: (2026)
por: Tegge, William C., et al.
Publicado: (2026)
TEMP: A Memory Efficient Physical-aware Tensor Partition-Mapping Framework on Wafer-scale Chips
por: Wang, Huizheng, et al.
Publicado: (2025)
por: Wang, Huizheng, et al.
Publicado: (2025)
Shift-Left Techniques in Electronic Design Automation: A Survey
por: Wu, Xinyue, et al.
Publicado: (2025)
por: Wu, Xinyue, et al.
Publicado: (2025)
GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing
por: Pei, Minnan, et al.
Publicado: (2025)
por: Pei, Minnan, et al.
Publicado: (2025)
Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators
por: Qin, Yifan, et al.
Publicado: (2025)
por: Qin, Yifan, et al.
Publicado: (2025)
SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency
por: Kyung, Kwanhee, et al.
Publicado: (2025)
por: Kyung, Kwanhee, et al.
Publicado: (2025)
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms
por: Colleman, Steven, et al.
Publicado: (2024)
por: Colleman, Steven, et al.
Publicado: (2024)
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems
por: Rutishauser, Georg, et al.
Publicado: (2024)
por: Rutishauser, Georg, et al.
Publicado: (2024)
An Energy-Efficient Approximate Posit Multiply-Divide Unit
por: Thotli, Rishi, et al.
Publicado: (2026)
por: Thotli, Rishi, et al.
Publicado: (2026)
Ejemplares similares
-
Reuse and Blend: Energy-Efficient Optical Neural Network Enabled by Weight Sharing
por: Xu, Bo, et al.
Publicado: (2024) -
An Energy-Efficient RFET-Based Stochastic Computing Neural Network Accelerator
por: Lu, Sheng, et al.
Publicado: (2025) -
Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network
por: Yin, Ziang, et al.
Publicado: (2024) -
ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training
por: Bai, Kangbo, et al.
Publicado: (2026) -
Energy-Efficient FPGA Framework for Non-Quantized Convolutional Neural Networks
por: Athanasiadis, Angelos, et al.
Publicado: (2025)