OpenVPX introduces a descriptive nomenclature based upon Module Profiles, Slot Profiles, Backplane Profiles and Chassis Profiles. This session will introduce these terms and show how they simplify the specification of OpenVPX systems and help module manufacturers ensure interoperability. These terms are as useful for custom systems as they are for standard OpenVPX development systems.

This presentation is an overview of the different hardware and software solutions being deployed for hardware assisted video decoding. Hardware assisted video decoding and acceleration are becoming more common as the demand for lower cost and lower power solutions grows. Different software and hardware architectures will be discussed along with case studies and real life applications. The focus will be on lower power, fan less, solutions for video applications.

Direct Attached (PCI Express over cable) computing is a powerful technology that can be implemented in almost any application to expand slot count, attach high speed devices to an existing system, and communicate between PC’s at up to 80Gb/s and much less cost than other solutions. Discover how these easily accessible and available products can be implemented in your application for higher productivity at lower costs. See the future of cluster computing using PCIe over cable in the data center and in HPC environments.

Join Green Hills Software for an informative session that will cover development challenges associated with adopting multicore processors in new designs. We’ll cover common use cases for multicore devices as well as a complete multicore toolkit that includes development tools, operating systems, and virtualization technology. Utilizing this toolkit enables developers to unlock the power of next generation multicore designs.

Using the Model-Based design approach, we will demonstrate how to efficiently develop, test, validate and communicate real-time control algorithms using Statecharts, without acquiring development tool chains, building devices drivers, or board support packages (BSPs). We’ll discuss how to test these algorithms in simulation, and automatically generate code to integrate with the rest of your system. We will also show how to deploy your algorithms to a real-time system embedded system using an x86 compatible prototyping platform to control your hardware. Lastly, we will demonstrate how these algorithms may retarget into an embedded production environment.

There are many strategies a project can take to test their embedded software applications. These include code coverage analysis, full unit testing, and static code analysis. Ideally, most organizations would like a repeatable regression testing process that is easy to implement and has a measurable impact on product quality. But how do you get there? This session will explore the various ways companies from a wide range of industries combine various testing approaches to improve overall product quality and test repeatability. A comprehensive live demonstration on an embedded target will highlight how VectorCAST, the industry-leading embedded software testing tool, addresses unit testing, integration testing, code coverage analysis, system testing and regression testing.

Embedded systems are evolving quickly with sophisticated human machine interfaces that combine audio/video playback, enhanced graphics, and internet connectivity. This session looks at building advanced HMIs and all the challenges that come with it. Learn how to integrate advanced graphical tooling into an embedded environment, addressing the two most commonly raised objections: adequate performance and rock-solid reliability. Explore engineering concerns about integrating everything from high-level HMI applications to low-level embedded controls without compromising real-time reliability or HMI performance. Finally, discover how to save time in the integration process by creating a seamless interface, blending content from any number of existing applications.

Increasing software content and complexity in today’s embedded devices amplifies the risk of failure and complicates the process of achieving high confidence in safety and reliability. Traditional software testing methods are limited in scope and static analysis based testing produce high rates of false positives. Formal methods based abstract interpretation is quickly becoming the solution of choice, because it proves the absence of a defined set of run-time errors in code. By verifying code to be free of fatal run-time errors such as under/overflows, out-of-bounds array index, illegal pointer de-referencing and other run-time errors, software and quality engineering teams are able to improve the overall reliability of software. Learn how these new techniques can be applied to the development of critical embedded applications where software quality is at stake.

FAA DO-178B safety critical applications must follow rigorous software processes. CERT-C is a secure coding standard published by Software Engineering Institute, Carnegie Mellon. See how to obtain DO-178B static analysis credit using automated static analysis tools and how to comply with the static analyzable rule in the CERT-C standard.

We will explore the Model-Based Design approach to design, simulate and deploy algorithms to embedded processors using automatic code generation. We will use examples for an acoustic noise cancellation system (using a LMS algorithm) and a 3-Band a parametric equalizer utilizing IIR filters to demonstrate how to easily convert floating point models to fixed-point, and deploy the model s to a DSP. Along the way we will show how to verify the models and the generated code against a golden reference.

Through the last number of years we have seen the emergence of static and dynamic analysis techniques as accepted methods of increasing embedded software quality, security, and reliability. We will look at various static analysis techniques (standards compliance, complexity analysis, run-time error analysis) and dynamic analysis techniques (functional, system and unit test, structural coverage analysis, modeling) and show how applying the results of both static and dynamic analysis provides far more value than either one alone. Key to this increased value is traceability: the ability to apply results of these various analysis techniques to requirements at both high and low levels throughout the development lifecycle creates actionable status data usable by management to assess embedded software projects. Finally, we will look at methods of automating the various analyses and establishing the traceability of analysis results at various phases within the development lifecycle.