AI Processor with Sparsity-adaptive Real-time Dynamic Frequency Modulation for Convolutional Neural Networks and Transformers
Author:
Affiliation:
1. University of California,San Diego
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10121189/10121178/10121255.pdf?arnumber=10121255
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3. A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing
4. STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration
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1. A 28.6 mJ/iter Stable Diffusion Processor for Text-to-Image Generation with Patch Similarity-based Sparsity Augmentation and Text-based Mixed-Precision;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
2. FreFlex: A High-Performance Processor for Convolution and Attention Computations via Sparsity-Adaptive Dynamic Frequency Boosting;IEEE Journal of Solid-State Circuits;2024
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