Defense Advanced Research Projects AgencyTagged Content List

Algorithms

A process or rule set used for calculations or other problem-solving operations

Showing 19 results for Algorithms + Microsystems RSS
Computational capability is an enabler for nearly every military system, but increases in this capability are limited by available system power and constraints on the ability to dissipate heat. This is a challenge for embedded applications such as soldier-borne applications, UAVs and command and control systems on submarines. Today’s intelligence, surveillance and reconnaissance (ISR) systems have sensors that collect far more information than they can process in real time; as a result, what could be invaluable real-time intelligence data in the hands of our warfighters is simply discarded, or perhaps recorded and processed hours or days after it was collected.
In modern warfare, decisions are driven by information. That information can come in the form of thousands of sensors providing information, surveillance, and reconnaissance (ISR) data; logistics/supply-chain and personnel performance measurements; or a host of other sources and formats. The ability to exploit this data to understand and predict the world around us is an asymmetric advantage for the Department of Defense (DoD).
Deployed electronic systems increasingly require advanced processing capabilities, however the time and power required to access system memory – commonly referred to as the “memory bottleneck” – takes a significant toll on their performance. Any substantial improvement in electronic system performance will require a radical reduction in memory access time and overall dynamic power of the system. The use of a monolithic three-dimensional system-on-chip (SoC) stack to integrate memory and logic is one approach that could dramatically alter the memory bottleneck challenge.
08/30/2017
On June 1, 2017, the DARPA Microsystems Technology Office (MTO) announced a new Electronics Resurgence Initiative (ERI) to ensure far-reaching improvements in electronics performance well beyond the limits of traditional scaling. ERI will draw on new and existing DARPA programs to make a significant investment into enabling circuit specialization and managing complexity.