SMP and Embedded Real Time

As embedded real-time applications start to run on SMP systems, kernel issues emerge.

With the advent of multithreaded/multicore CPUs, even embedded real-time applications are starting to run on SMP systems—for example, both the Xbox 360 and PS/3 are multithreaded, and there even have been SMP ARM processors! As this trend continues, there will be an increasing need for real-time response from SMP systems. Because not all embedded systems vendors will be willing or able to create or purchase SMP real-time operating systems, we can expect that a number of them will make use of Linux.

Because of this change, a number of real-time tenets have now become myths. This article exposes these myths and then discusses some of the challenges that Linux is surmounting in order to meet the needs of this new SMP-real-time-embedded world.

Real-Time Myths

New technologies often have a corrosive effect on the wisdom of the ages. The advent of commodity multicore and multithreaded hardware is no different, making myths of the following pearls of wisdom:

  1. Embedded systems are always uniprocessor systems.

  2. Parallel programming is mind crushingly difficult.

  3. Real time must be either hard or soft.

  4. Parallel real-time programming is impossibly difficult.

  5. There is no connection between real-time and enterprise systems.

Each of these myths is exposed in the following sections, and Ingo Molnar's -rt real-time patchset (also known as the CONFIG_PREEMPT_RT patchset after the configuration variable used to enable real-time behavior) plays a key role in exposing the last two myths.

Myth 1: Embedded Systems Are Always Uniprocessor Systems

Past embedded systems almost always were uniprocessors, especially given that single-chip multiprocessors are a very recent phenomenon. The PS/3, the Xbox 360 and the SMP ARM are recent exceptions to this rule. But what does the future hold?

Figure 1 shows how clock frequencies have leveled off since 2003. Now, Moore's Law is still in full force, as transistor densities are still increasing. However, these increasing densities are no longer providing the side benefit of increased clock frequency that they once did.

Figure 1. Clock-Frequency Trend for Intel CPUs

Some say that parallel processing, hardware multithreading and multicore CPU chips will be needed to make good use of the ever-increasing numbers of transistors. Others say that embedded systems need increasing levels of integration and reduced power consumption more than they do ever-increasing performance. Embedded systems vendors might therefore choose more on-chip I/O or memory over increased parallelism.

This debate will not be resolved soon, although we have all seen examples of multithreaded and multicore CPUs in embedded systems. That said, as multithreaded/multicore systems become cheaper and more prevalent, we will see more rather than fewer of them.

But these multithreaded/multicore systems require parallel software. Given the forbidding reputation of parallel programming, how are we going to program these systems successfully?

Myth 2: Parallel Programming Is Mind Crushingly Difficult

Why is parallel programming hard? Answers include deadlocks, race conditions and testing coverage, but the real answer is that it is not really all that hard. After all, if parallel programming was really so difficult, why are there so many parallel open-source projects, including Apache, MySQL and the Linux kernel?

A better question would be “Why is parallel programming perceived to be so difficult?” Let's go back to the year 1991. I was walking across the parking lot to Sequent's benchmarking center carrying six dual-80486 CPU boards, when I suddenly realized that I was carrying several times the price of my house. (Yes, I did walk more carefully. Why do you ask?) These horribly expensive systems were limited to a privileged few, who were the only ones with the opportunity to learn parallel programming.

In contrast, in 2006, I am typing on a dual-core x86 laptop that is orders of magnitude cheaper than even one of Sequent's CPU boards. Because almost everyone now can gain access to parallel hardware, almost everyone can learn to program it and also learn that although it can be nontrivial, it is really not all that hard.

Even so, many multithreaded/multicore embedded systems have real-time constraints. But what exactly is real time?

______________________

Comments

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

a question

hpare's picture

I have a question about that "interrupt" discribed in figure 6-8.
Could you tell me if this kind of interrupt happens on one CPU, from cpu catch a INTn do tophalf instructions to deal with the blue rectangle(maybe a softirq() of bottomhalf),do all of these was executed by one CPU?
waiting for your explanation!
thank you!

Threaded interrupts

paulmck's picture

There is a small portion of code that happens in the "top half", or hard irq context. On a non-PREEMPT_RT system he actual interrupt handler code would also execute in hard irq context. However, in PREEMPT_RT, the handler instead executes at process level in a kernel thread executing at real-time priority.

If this handler uses a bottom half, or softirq, then the softirq will be scheduled as another kernel thread, also executing at real-time priority.

The softirq interface is such that the softirq handler executes on the same CPU where the raise_softirq() request ran, Normally the system would be configured so that the hard irq and irq handler ran on the same CPU as well. (I believe that it can be configured otherwise, but I don't know of a good reason to do so.)

Great article, really interesting stuff

Adeel's picture

In addition, there are real-time audio systems, SIP servers and object brokers...

Can you give an example of rt audio/sip/object broker software/projects?

Also, has the -rt patch set had any impact on networking in linux? e.g. latency, iptables traversal time, etc

Would a standard program, e.g. X11, have a performance benefit on -rt compared to a non-rt system?

Examples of RT audio, SIP, object brokers...

paulmck's picture

There are a number of open-source audio projects. Two that come to mind immediately are Jack and Pulse audio, both of which were enthusiastic about testing out the -rt patchset. The only RT SIP servers that I am aware of are proprietary, ditto with object brokers.

There has been some effect of -rt on networking, but many real-time applications use lower-level protocols (such as UDP) or special transports (such as Infiniband) in order to retain greater control over latency. That said, there are special real-time protocols, such as the DDS suite.

Usually, real-time operating systems are designed for responsiveness, and usually give up throughput performance in favor of responsiveness. For one look at this issue, see my recent OLS paper on real time vs. real fast.

szkolenia

szkolenia biznesowe's picture

Nice article

thanks :)

Glad you liked it!

Paul E. McKenney's picture

;-)

White Paper
Linux Management with Red Hat Satellite: Measuring Business Impact and ROI

Linux has become a key foundation for supporting today's rapidly growing IT environments. Linux is being used to deploy business applications and databases, trading on its reputation as a low-cost operating environment. For many IT organizations, Linux is a mainstay for deploying Web servers and has evolved from handling basic file, print, and utility workloads to running mission-critical applications and databases, physically, virtually, and in the cloud. As Linux grows in importance in terms of value to the business, managing Linux environments to high standards of service quality — availability, security, and performance — becomes an essential requirement for business success.

Learn More

Sponsored by Red Hat

White Paper
Private PaaS for the Agile Enterprise

If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.

Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.

Learn More

Sponsored by ActiveState