Single-core processing remains stubbornly perched atop the avionics world because of the complexities involved with MCP certification.
Enabling technologies for electronics and embedded computing thermal management are expanding, as systems designers demand higher performance, standards-based cooling, and reduced size and weight.
A panel on CMOSS at a U.S. Army Technical Exchange Meeting held earlier this year provided details on new developments underway and areas in which the Army is looking to industry for help in taking the suite of standards from prototype to deployment.
Security-critical applications, such as cross-domain solutions (CDS), require a secure, trusted platform on which to execute, spanning software, firmware, and hardware. The lowest layer that the application interacts with directly is a trusted operating system (OS).
In the coming years, the military avionics supply and demand chain will feature advanced cockpit upgrades and integration capabilities with civil airspace, as countries move forward on urban air mobility concepts and as the use of drones becomes increasingly common.
Artificial intelligence (AI), machine learning, and virtual reality are becoming essential parts of today’s military simulation and mission rehearsal to keep warfighters on the cutting edge.
SOSA, HOST, MOSA, VITA, and a host of other new and emerging open-systems industry standards are coming to bear on the most performance-demanding aerospace and defense applications.
Since its introduction in 2014, the National Security Agency Commercial Solutions for Classified (CSfC) program has proven very effective in lowering the cost and speeding the accessibility of encryption for critical data-at-rest (DAR).
Size, weight, power consumption, and cooling technologies today block quantum computing from the embedded world, but new generations should yield advances in artificial intelligence and computer security.
High-performance embedded computing is reaping the benefits of open-systems standards, new FPGA architectures, and artificial intelligence for never-before-seen edge computing performance.