ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.13997
  4. Cited By
PowerPruning: Selecting Weights and Activations for Power-Efficient
  Neural Network Acceleration
v1v2 (latest)

PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration

Design Automation Conference (DAC), 2023
24 March 2023
Richard Petri
Grace Li Zhang
Yiran Chen
Ulf Schlichtmann
Bing Li
ArXiv (abs)PDFHTML

Papers citing "PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration"

7 / 7 papers shown
Layer-wise dynamic rank for compressing large language models
Layer-wise dynamic rank for compressing large language models
Zhendong Mi
Bian Sun
Grace Li Zhang
Shaoyi Huang
ALM
203
0
0
30 Sep 2025
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model
  Compression
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model CompressionInternational Conference on Learning Representations (ICLR), 2024
Jingcun Wang
Yu-Guang Chen
Ing-Chao Lin
Bing Li
Grace Li Zhang
209
18
0
02 Oct 2024
LiveMind: Low-latency Large Language Models with Simultaneous Inference
LiveMind: Low-latency Large Language Models with Simultaneous Inference
Chuangtao Chen
Grace Li Zhang
Xunzhao Yin
Cheng Zhuo
Ulf Schlichtmann
Bing Li
LRM
317
9
0
20 Jun 2024
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural
  Network Acceleration
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration
Bo Liu
Grace Li Zhang
Xunzhao Yin
Ulf Schlichtmann
Bing Li
MQAI4CE
209
0
0
25 Feb 2024
Early-Exit with Class Exclusion for Efficient Inference of Neural
  Networks
Early-Exit with Class Exclusion for Efficient Inference of Neural NetworksInternational Conference on Artificial Intelligence Circuits and Systems (ICAICS), 2023
Jing Wang
Bing Li
Grace Li Zhang
237
6
0
23 Sep 2023
Logic Design of Neural Networks for High-Throughput and Low-Power
  Applications
Logic Design of Neural Networks for High-Throughput and Low-Power ApplicationsAsia and South Pacific Design Automation Conference (ASP-DAC), 2023
Kangwei Xu
Grace Li Zhang
Ulf Schlichtmann
Bing Li
176
10
0
19 Sep 2023
Computational and Storage Efficient Quadratic Neurons for Deep Neural
  Networks
Computational and Storage Efficient Quadratic Neurons for Deep Neural NetworksDesign, Automation and Test in Europe (DATE), 2023
Chuangtao Chen
Grace Li Zhang
Xunzhao Yin
Cheng Zhuo
Ulf Schlichtmann
Bing Li
210
1
0
10 Jun 2023
1