![神经网络计算专用电路及其相关计算平台与实现方法](/CN/2018/1/165/images/201810828991.jpg)
基本信息:
- 专利标题: 神经网络计算专用电路及其相关计算平台与实现方法
- 专利标题(英):Neural network calculation special circuit and related calculation platform and implementation method thereof
- 申请号:CN201810828991.0 申请日:2018-07-25
- 公开(公告)号:CN110766127A 公开(公告)日:2020-02-07
- 发明人: 张玉 , 贾希杰 , 隋凌志 , 吴迪
- 申请人: 北京深鉴智能科技有限公司
- 申请人地址: 北京市海淀区王庄路1号院四号楼17层1706号
- 专利权人: 北京深鉴智能科技有限公司
- 当前专利权人: 赛灵思电子科技(北京)有限公司
- 当前专利权人地址: 北京市海淀区王庄路1号院四号楼17层1706号
- 代理机构: 北京展翼知识产权代理事务所
- 代理人: 张阳
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06N3/08 ; G06T1/20
The invention discloses a special circuit for a neural network and a related computing platform and implementation method thereof. The special circuit comprises: a data reading module which comprisesa feature map reading sub-module and a weight reading sub-module which are respectively used for reading feature map data and weight data from an on-chip cache to a data calculation module when a depthwise convolution operation is executed, wherein the feature map reading sub-module is also used for reading the feature map data from the on-chip cache to the data calculation module when executing pooling operation; a data calculation module which comprises a dwconv module used for executing depthwise convolution calculation and a pooling module used for executing pooling calculation; and a datawrite-back module which is used for writing a calculation result of the data calculation module back to the on-chip cache. The use of hardware resources is reduced by multiplexing the read logic andthe write-back logic of the two types of operations. The special circuit provided by the invention adopts a high-concurrency pipeline design, so that the computing performance can be further improved.
公开/授权文献:
- CN110766127B 神经网络计算专用电路及其相关计算平台与实现方法 公开/授权日:2022-09-23
IPC结构图谱:
G | 物理 |
--G06 | 计算;推算;计数 |
----G06N | 基于特定计算模型的计算机系统 |
------G06N3/00 | 基于生物学模型的计算机系统 |
--------G06N3/02 | .采用神经网络模型 |
----------G06N3/04 | ..体系结构,例如,互连拓扑 |