21st Great Lakes Symposium on VLSI Systems, Lausanne, Schweiz

Abbrevation

GLSVLSI

Link

http://www.glsvlsi.org/index.html

City

Lausanne

Country

Switzerland

Deadline Paper

2010-12-04

Start Date

2011-05-02

End Date

2011-05-04

Abstract

The 21st edition of GLSVLSI will be held in EPFL Campus, Lausanne, Switzerland, on May 2–4, 2011. Original, unpublished papers, describing research in the general area of VLSI are solicited. Both theoretical and experimental research results are welcome. Proceedings will be published electronically and will be accessed by ACM Digital library. <H2>Program Tracks</H2> <UL> <LI>VLSI Design: design of ASICs, microprocessors/micro–architectures, embedded processors, analog/digital/mixed–signal systems, NoC, interconnects, memories, and FPGAs.</LI> <LI>VLSI Circuits: analog/digital/mixed–signal circuits, RF and communication circuits, chaos/neural/fuzzy–logic circuits, high–speed/low–power circuits.</LI> <LI>Computer–Aided Design (CAD): hardware/software co–design, logic and behavioral synthesis, logic mapping, simulation and formal verification, layout (partitioning, placement, routing, floorplanning, compaction), algorithms and complexity analysis.</LI> <LI>Low Power and Power Aware Design: circuits, micro–architectural techniques, thermal estimation and optimization, power estimation methodologies, and CAD tools.</LI> <LI>Testing, Reliability, Fault–Tolerance: digital/analog/mixed–signal testing, design for testability and reliability, online testing techniques, static and dynamic defect– and fault–recoverability, and variation–aware design.</LI> <LI>Emerging Technologies: nanotechnology, molecular electronics, quantum devices, biologically–inspired computing, CNT, SET, RTD, QCA, VLSI aspects of sensor and sensor network, and CAD tools for emerging technology devices and circuits.</LI> <LI>Post–CMOS VLSI: evolutionary computing, optical computing, quantum computing, reversible logic, spin–based computing, biological computation, nanotechnology, molecular electronics, quantum devices, biologically–inspired computing. Emphasis should be on the analysis, novel circuits and architectures, modeling, CAD tools, and design methodologies. </LI></UL>