Embedded.com Tech Focus Newsletter (4-28-14): Facing nextgen multicore design challenges

How do we deal with the challenges of next generation mobile platforms moving toward eight to ten processor cores, and game platform and large-screen, high-definition, Internet-enabled televisions that already demand many-core SoC designs and will soon need hundreds.

The authors discuss LibEOMP, a new portable OpenMP runtime library for multicore embedded systems that exploits the capabilities of the Multicore Association (MCA) application programming interfaces.

How to combine the data-centric publish/subscribe-based Data Distribution Service model with the Leader/Followers thread-pool concurrency thread management pattern.

Imagination's Peter McGuinness recounts his company's experience in porting disparate applications to run delegated to the GPU and reports on lessons learned.

How standards based programming models like OpenCL and OpenMP make it possible for embedded programmers to write their applications in the C language, and still take advantage of the offload capability of additional accelerators and efficiently task heterogeneous cores.

As data rates climb and malicious software attacks escalate, traditional approaches to security will be replaced by integrating such protection directly into the multicore-based Intelligent Packet Engine hardware IP.

In multicore designs, is it better to run just one OS domain with all cores and threads scheduled from a single OS domain or divide responsibilities among many individual OS domains?

The authors describe how the OpenMP shared memory muliticore programming model is being adapted to the needs of embedded systems designs.

An introduction to the Multicore Association (MCA) Multicore Programming Practices (MPP) Guide – best practices for an evolutionary approach to multicore development.

How to combine the data-centric publish/subscribe-based Data Distribution Service model with the Leader/Followers thread-pool concurrency thread management pattern.

A comparison of Google’s Go, Mozilla’s Rust, and the Ada-based Parasail as alternatives to C/C++ for code development in concurrent and parallel software environments.