GLSVLSI 2010
Full title
20th Great Lakes Symposium on VLSI
Conference date
0 May 2010
Important dates
- submission date: 7 December 2009
- notification date: 5 February 2010
- final version: 3 March 2010
Location
Website
ABOUT GLSVLSI:
The 20th edition of GLSVLSI will be held in Providence, Rhode Island. Original, unpublished papers, describing research in the general area of VLSI are solicited.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
by the ACM and will be available through the ACM Digital Library. For detailed information, visit http://glsvlsi.org/.
PROGRAM TRACKS:
VLSI Design: design of ASICs, microprocessors/micro-architectures, embedded processors, analog/digital/mixed-signal systems, NoC, interconnects, memories, and FPGAs.
VLSI Circuits: analog/digital/mixed-signal circuits, RF and communication circuits, chaos/neural/fuzzy-logic circuits, high-speed/low-power circuits, arithmetic circuits.
Computer-Aided Design (CAD): hardware/software co-design, logic and behavioral synthesis, logic synthesis and technology mapping, simulation and formal verification, layout (partitioning, placement, routing, floorplanning, compaction), buffer insertion, CAD for datapath synthesis, algorithms and complexity analysis.
Low Power and Power Aware Design: circuits, micro-architectural techniques, thermal estimation and optimization, power estimation methodologies, and CAD tools.
Testing, Reliability, Fault-Tolerance: digital/analog/mixed-signal testing, design for testability and reliability, test vector compression, silicon debug and diagnosis, online testing techniques, static and dynamic defect- and fault-recoverability, and variation-aware design.
Emerging Technologies: 3D integration, probabilistic architectures, optical interconnects, microfluidics, CNT, SET, RTD, QCA, VLSI aspects of sensor and sensor network, and CAD tools for emerging technology devices and circuits.
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.
