Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands-Reference-Cited by-同舟云学术

Lightweight Instruction Set for Flexible Dilated Convolutions and Mixed-Precision Operands

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 24th International Symposium on Quality Electronic Design (ISQED)
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Author:

Friedrich Simon¹,Sampath Shambhavi Balamuthu²,Wittig Robert¹,Vemparala Manoj Rohit²,Fasfous Nael²,Matúš Emil¹,Stechele Walter³,Fettweis Gerhard¹

Affiliation:

1. Technical University of Dresden,Vodafone Chair for Mobile Communications,Dresden,Germany

2. BMW AG,Munich,Germany

3. Technical University Munich,Chair of Integrated Systems,Munich,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10129281/10129282/10129341.pdf?arnumber=10129341

Reference24 articles.

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2. Energy-based optimization for resource limited neural network accelerators with fused-layer support;friedrich;3 rd International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’),2021

3. Generative Sparse Detection Networks for 3D Single-Shot Object Detection

4. Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization

5. Sticker: A 0.41-62.1 TOPS/W 8Bit Neural Network Processor with Multi-Sparsity Compatible Convolution Arrays and Online Tuning Acceleration for Fully Connected Layers

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