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MPC864x – e600 core, 1 MB L2 cache, improved AltiVec (out of order instructions), an embedded memory controller, Ethernet controllers, a RapidIO fabric interface, a PCI Express interface, and MPX bus. Dual core versions supporting both symmetric and asymmetric multiprocessing, up to 1.5 GHz.
Embedded instrumentation can perform certain functions that external test and measurement technologies have difficulty with because they are external to the chip or circuit board being tested. Moreover, embedded instrumentation is often more efficient and adaptable, since it is software-based, unlike external hardware testers.
Ground-level power supply, also known as surface current collection or, in French, alimentation par le sol ("feeding via the ground"), is a concept and group of technologies that enable electric vehicles to collect electric power at ground level instead of the more common overhead lines.
The benefits of full-custom design include reduced area (and therefore recurring component cost), performance improvements, and also the ability to integrate analog components and other pre-designed—and thus fully verified—components, such as microprocessor cores, that form a system on a chip.
SCI from the Embedded Controller to inform the ACPI driver (in the OS) of an ACPI Event; As a core system component, the embedded controller is always on when power is supplied to the mainboard. To communicate with the main computer system, several forms of communication can be used, including ACPI, SMBus, or shared memory.
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
Nvidia Jetson is a series of embedded computing boards from Nvidia. The Jetson TK1, TX1 and TX2 models all carry a Tegra processor (or SoC) from Nvidia that integrates an ARM architecture central processing unit (CPU). Jetson is a low-power system and is designed for accelerating machine learning applications.
With system identification, the plant model is identified by acquiring and processing raw data from a real-world system and choosing a mathematical algorithm with which to identify a mathematical model. Various kinds of analysis and simulations can be performed using the identified model before it is used to design a model-based controller.