ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.01308
  4. Cited By
SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network
  Acceleration
v1v2 (latest)

SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration

1 March 2021
Shurui Li
W. Romaszkan
A. Graening
Puneet Gupta
    MQ
ArXiv (abs)PDFHTML

Papers citing "SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration"

1 / 1 papers shown
Title
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution
  of Neural Networks on Resource Constrained Processors
Bit-serial Weight Pools: Compression and Arbitrary Precision Execution of Neural Networks on Resource Constrained Processors
Shurui Li
Puneet Gupta
MQ
47
5
0
25 Jan 2022
1