International Symposium on Low Power Electronics and Design, La Jolla, Vereinigte Staaten

Abbrevation

ISLPED

Link

http://www.islped.org/2014/index.html

City

La Jolla

Country

United States

Deadline Paper

2014-02-28

Start Date

2014-08-11

End Date

2014-08-13

Abstract

Specific topics include, but are not limited to, the following two main areas, each with three sub–areas: Technology, Circuits, and Architecture Technologies Emerging Low–power technologies for Device, Interconnect, Logic, Memory, 2.5/3D, Cooling, Harvesting, Sensors, Optical, Printable, Biomedical, Battery, and Alternative energy storage devices. Circuits Low–power digital circuits for Logic, Memory arrays, Reliability, Clocking, Power gating, Resiliency, Near–Threshold Voltage (NTV), Sub–threshold, Variability, and Digital assist schemes; Low–power analog/mixed–signal circuits for Wireless, RF, MEMS, AD/DA Converters, I/O circuits, PLLs/DLLS, Imaging, DC–DC converters, and Analog assist schemes Logic and Architecture Low–power logic and microarchitectures for SoC designs, Processor cores (compute, graphics and other special purpose cores), Register file, Cache, Memory, Arithmetic/Signal processing, Encryption, Variability, and Asynchronous design, Non–conventional computing. CAD, Systems, and Software CAD Tools and Methodologies CAD tools and methodologies for low–power and thermal–aware design addressing power estimation, optimization, reliability and variation impact on power, and power–down approaches at all design levels: physical, circuit, gate, RTL, behavioral, and algorithmic. Systems and Platform Low–power, power–aware, and thermal–aware system design and platforms for microprocessors, DSP, embedded systems, FPGA, ASIC, SoC, heterogeneous computing, novel systems, and system level power implications due to reliability and variability. Data center power delivery and cooling. Software and Applications Energy–efficient, energy–aware, and thermal–aware software and application design including scheduling and management, reliability and variability optimizations, and emerging low power applications like approximate and brain–inspired computing, low power distributed body–area/in–body networks, and sensor networks.