搜索资源列表
RTX51Examples
- RTX51 example use. Inside are example on how to use RTX51 RTOS. it uses memory pool, messages, RTXbank and shared var
MPC89E52A
- MPC89E52A is a single-chip 8-bit micro-controller with the instruction sets, which is fully compatible with industrial-standard 80C51 series microcontroller. There is 8K bytes flash memory embedded for application program, 7K bytes data flash s
vga_lcd_latest.tar
- vga lcd 控制器 24位VGA控制，支持12位DVI协议-This embedded VGA core capable of driving CRT and LCD displays. It supports user programmable resolutions and video timings, which are limited only by the available WISHBONE bandwidth. Making it compatible with almost
Stm32_ucos_4
- 该程序使用消息邮箱，在内存空间开辟了一片区域，供4个任务共享读写。1个任务在写内存时，其它任务不能读写。多个任务可以同时读该内存区域数据。-This program uses the message mailboxes, the memory space to open up a regional, shared reading and writing for the four tasks. A task to write the memory and other tasks can not r
RTX-SharedMemory-DEMO
- RTX共享内存（SharedMemory）的实例代码，内附资料说明。要运行该源代码请先安装RTX8.1-RTX Shared Memory (SharedMemory) code examples, with an explanation. To run the source code please install RTX8.1
sem
- linux间进程通讯，利用共享内存和信号量，实现一个简洁的生产者与消费者程序。-Inter-process communication linux, using shared memory and semaphores to implement a simple program producers and consumers.
Snooping
- 使用Qt实现的多cache一致性模拟器，该模拟器采用监听协议。模拟对象为多处理器，多cache,集中共享式存储器条件下cache数据的一致性。-Use Qt achieve more consistency cache simulator, the simulator uses protocol listeners. Mock objects for multi-processor, multi-cache, consistency conditions under centralized sh
memshare
- QT共享内存程序，亲自调试成功通过，实现点击按钮选择任意文件中的图片进行显示以及内存的共享-QT shared memory program, personally commissioning successfully achieve the click of a button to any file picture display and shared memory
shmread_sem_init
- 使用sem_init对共享内存的操作，使得比sem_open更加方便-Use sem_init operations on shared memory, making it more convenient than sem_open
Linux_system_programming
- linux系统编程学习源码包，管道，进程，信号，信号量，内存共享，套接字，消息队列等学习包；线程池的使用，目录负责源码等；-Linux system programming learning source package, piping, process, signal, semaphores, and Shared memory, sockets, learning packages such as message queue The use of thread pool and direct
shared_memory_gpu
- 利用cuda进行gpu的编程，可以在NVIDIA geforce 8800以上显卡上执行。利用了它的共享内存。比在cpu上执行快的多。-Carried out using cuda GPU programming, NVIDIA geforce 8800 can run more than graphics. Use of its shared memory. Than in the cpu to run faster and more.
SharedMem
- 多核图像灰度转换的程序，本程序主要做了以下几个任务： （1）核0创建共享内存，将数据写入内存，然后通过Notify将内存地址发送给从核。 （2）从核（1至7核）接收核0的通知，打开内存地址，读取数据。-Multi core image grayscale conversion procedures, the procedures are mainly done the following tasks: (1) the kernel 0 creates the shared memor