| ||||
| Home Products Download Events Support | ||||
Technical Support
On-Line Manuals
RL-ARM User's Guide
RL-RTX Overview 
Product Description Product Specification Technical Data Timing Specifications Advantages 
Your First RTX Application 
Theory of Operation Timer Tick Interrupt System Task Manager Task Management Idle Task System Resources Scheduling Options Pre-emptive Scheduling Round-Robin Scheduling Cooperative Multitasking Priority Inversion Stack Management User Timers Interrupt Functions Configuring RTX Kernel Basic RTX Configuration Tasks Stack Size Stack Checking Run in Privileged Mode Hardware Timer Round-Robin Multitasking User Timers FIFO Queue Buffer Error Function Idle Task Advanced RTX Configuration HW Resources Required Configuration Macros Library Files Using RTX Kernel Writing Programs Include Files Defining Tasks Multiple Instances External References Using a Mailbox SWI Functions SVC Functions Debugging System Info Task Info Event Viewer Usage Hints ARM Version Cortex Version Create New RTX Application Function Reference Event Flag Management Routines Mailbox Management Routines Memory Allocation Routines Mutex Management Routines Semaphore Management Routines System Functions Task Management Routines Time Management Routines User Timer Management Routines 
RL-FlashFS 
RL-TCPnet RL-CAN RL-USB Example Programs Library Reference AppendixAdvantages
The RTX kernel is based on the idea of parallel tasks (processes). In the RTX kernel, the task that a system must fulfill is split up into several smaller tasks that run concurrently. There are many advantages to using the RTX kernel:
- Real world processes consist, usually, of several concurrent activities. This pattern can be represented in software by using the RTX kernel.
- You can make different activities occur at different times, for example, just at the moment when they are needed. This is possible because each activity is packed into a separate task, which can be executed on its own.
- Tasks can be prioritized.
- It is easier to understand and manage smaller pieces of code than one large piece of software.
- Splitting up the software into independent parts reduces the system complexity, the number of errors, and even facilitates testing.
- The RTX kernel is scalable. Additional tasks can be added easily at a later time.
- The RTX kernel offers services needed in many real-time applications, for example, good handling of interrupts, periodical activation of tasks, and time-limits on wait functions.
| Contact Site Map Press Privacy | Copyright © 2012 ARM Ltd and ARM Germany GmbH. All rights reserved. |
