Photonically Optimized Embedded Microprocessors: Difference between revisions

Revision as of 10:23, 3 November 2018

Revision as of 16:22, 3 November 2018

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{{copypaste|url=https://www.darpa.mil/program/photonically-optimized-embedded-microprocessors|date=November 2018}}

The Photonically Optimized Embedded Microprocessors <ref> https://www.darpa.mil/program/photonically-optimized-embedded-microprocessors </ref> (''' POEM''') is [[DARPA]] program that, addressedit electricalshould communicationsdemonstrate linkphotonic limitationstechnologies bythat developingcan chip-scale andbe integrated photonicwithin technologyembedded , enables seamless intrachipmicroprocessors and offchipenable photonic communications that provide the required bandwidth with low, energy/bit. "The POEM program will exploit wavelength division multiplexing (WDM)-efficient, allowing much higher bandwidth high-capacity percommunications link, which is imperative to meeting the communication needs of future microprocessors. Such a capability would propelbetween the microprocessor onto a new performance trajectory and impact the actual runtime performance of DoD-relevant computing tasks for power-starved embedded applications and supercomputing"DRAM. .For realizing POEM technology CMOS and DRAM-compatible photonic links should operate at high bit-rates with very low power dissipation. POEM should demonstrate photonic technologies that can be integrated within embedded microprocessors and enable seamless, energy-efficient, high-capacity communications within and between the microprocessor and DRAM.

== Current research ==

Currently research in this field is at University of Colorado, Berkley University and Nanophotonic Systems Laboratory ( Ultra-Efficient CMOS-Compatible Grating Coupler Design)

== External links ==

* https://www.darpa.mil/program/photonically-optimized-embedded-microprocessors DARPA , Photonically Optimized Embedded Microprocessors.

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* https://www2.eecs.berkeley.edu/Research/Projects/Data/107122.html Berkley , Electrical Engineering and Computer Sciences

* https://www.darpa.mil/news-events/2016-02-19 DARPA , News and events Electricity, Light, Join Forces to Advance Computing

* https://riscv.org/wp-content/uploads/2016/01/Wed1015-riscv-sunchen-1-6-2016.pdf Chen Sun RISC-­‐V Microprocessor Chip with Photonic I/O.