METHOD AND DEVICE WITH NEURAL NETWORK OPERATION
DE602020067861T2Active Publication Date: 2026-03-04SAMSUNG ELECTRONICS CO LTD
View PDF 0 Cites 0 Cited by
Patent Information
- Application Number
- DE602020067861
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2019-12-20
- Filing Date
- 2020-08-27
- Publication Date
- 2026-03-04
- Estimated Expiration
- 2040-08-27
AI Technical Summary
Technical Problem
Existing neural network convolution operations face challenges in efficiently utilizing memory space, leading to potential overflow and suboptimal performance due to the need for extensive buffering and redundant memory allocation.
Method used
The proposed method employs a line data structure for convolution operations, utilizing a cumulative convolution process that reuses memory space by overwriting input feature maps with generated output lines, thereby optimizing memory usage and improving computational efficiency.
Benefits of technology
This approach enhances memory utilization and computational speed by minimizing the need for additional buffering, preventing memory overflow, and improving the functioning of computers implementing neural network operations.
✦ Generated by Eureka AI based on patent content.
Need to check novelty before this filing date? Find Prior Art
No text content released.