当前位置:网站首页>互斥对象与临界区的区别
互斥对象与临界区的区别
2022-07-03 15:20:00 【宇龍_】
互斥对象是一种内核对象,而临界区是一种用户模式下的线程同步方法,两者非常相似!
先说结论:如果不是跨进程同步,则建议使用临界区!
特点 | 互斥量 | 临界区 |
性能 | 慢 | 高 |
声明 | HANDLE hmtx | CRITICAL_SECTION cs |
< |
边栏推荐
- Mysql报错:[ERROR] mysqld: File ‘./mysql-bin.010228‘ not found (Errcode: 2 “No such file or directory“)
- [transform] [NLP] first proposed transformer. The 2017 paper "attention is all you need" by Google brain team
- The first character of leetcode sword offer that only appears once (12)
- Influxdb2 sources add data sources
- SQL server installation location cannot be changed
- 求字符串函数和长度不受限制的字符串函数的详解
- mysql innodb 存储引擎的特性—行锁剖析
- [attention mechanism] [first vit] Detr, end to end object detection with transformers the main components of the network are CNN and transformer
- 【pytorch学习笔记】Transforms
- 函数栈帧的创建和销毁
猜你喜欢
视觉上位系统设计开发(halcon-winform)-5.相机
【Transform】【实践】使用Pytorch的torch.nn.MultiheadAttention来实现self-attention
Solve the problem that pushgateway data will be overwritten by multiple push
[transform] [practice] use pytoch's torch nn. Multiheadattention to realize self attention
【可能是全中文网最全】pushgateway入门笔记
[probably the most complete in Chinese] pushgateway entry notes
[Yu Yue education] scientific computing and MATLAB language reference materials of Central South University
百度智能云助力石嘴山市升级“互联网+养老服务”智慧康养新模式
Kubernetes带你从头到尾捋一遍
高并发下之redis锁优化实战
随机推荐
Using Tengine to solve the session problem of load balancing
Stress test WebService with JMeter
【Transformer】入门篇-哈佛Harvard NLP的原作者在2018年初以逐行实现的形式呈现了论文The Annotated Transformer
Baidu AI Cloud helps Shizuishan upgrade the smart health care model of "Internet + elderly care services"
Concurrency-01-create thread, sleep, yield, wait, join, interrupt, thread state, synchronized, park, reentrantlock
Jvm-05-object, direct memory, string constant pool
Kubernetes advanced training camp pod Foundation
Kubernetes vous emmène du début à la fin
Global and Chinese market of Bus HVAC systems 2022-2028: Research Report on technology, participants, trends, market size and share
Jvm-03-runtime data area PC, stack, local method stack
Jvm-09 byte code introduction
[transformer] Introduction - the original author of Harvard NLP presented the annotated transformer in the form of line by line implementation in early 2018
[attention mechanism] [first vit] Detr, end to end object detection with transformers the main components of the network are CNN and transformer
阿特拉斯atlas扭矩枪 USB通讯教程基于MTCOM
自定义注解
开启 Chrome 和 Edge 浏览器多线程下载
Apache ant extension tutorial
The first character of leetcode sword offer that only appears once (12)
什么是embedding(把物体编码为一个低维稠密向量),pytorch中nn.Embedding原理及使用
Using TCL (tool command language) to manage Tornado (for VxWorks) can start the project