GLSVLSI 2019

Washington, D.C., USA, May 9-11, 2019

The 29^th edition of the ACM Great Lakes Symposium on VLSI (GLSVLSI) will be held in Washington DC. Original, unpublished papers describing research in the general areas of VLSI and hardware design are solicited. Paper Submission [link]

In addition to the traditional topic areas of GLSVLSI listed below, papers are solicited for a special theme of “In-Memory Processing for Future Electronics”.

Keynote Speakers

Marilyn Wolf Georgia Tech	Serge Leef DARPA	Keith Robello DARPA	Onur Mutlu ETH Zurich	Swarup Bhunia University of Florida

Program Tracks

• VLSI Design: ASIC and FPGA design, microprocessors/micro-architectures, embedded processors, analog/digital/mixed-signal systems, NoC, SoC, IoT, interconnects, memories, bio-inspired and neuromorphic circuits and systems, BioMEMs, lab-on-a-chip, biosensors, implantable and wearable devices.
• VLSI Circuits and Power Aware Design: analog/digital/mixed-signal circuits, RF and communication circuits, chaos/neural/fuzzy-logic circuits, high-speed/low-power circuits, temperature estimation/optimization, power estimation/optimization.
• Computer-Aided Design (CAD): hardware/software co-design, high-level synthesis, logic synthesis, simulation and formal verification, layout, design for manufacturing, CAD tools for biology and biomedical systems, algorithms and complexity analysis.
• Testing, Reliability, Fault-Tolerance: digital/analog/mixed-signal testing, reliability, robustness, static and dynamic defect- and fault-recoverability, variation-aware design.
• Emerging Computing & Post-CMOS Technologies: nanotechnology, molecular and quantum computing, approximate and stochastic computing, sensor and sensor networks, post CMOS VLSI.
• Hardware Security: trusted IC, IP protection, hardware security primitives, reverse engineering, hardware Trojan, side-channel analysis, CPS and IoT security.
• VLSI for Machine Learning and Artificial Intelligence: hardware accelerators for machine learning, computer architectures for machine learning, deep learning, brain-inspired computing, big data computing, cloud computing for Internet-of-Things (IoT) devices.
• Microelectronic Systems Education: pedagogical innovations using a wide range of technologies such as ASIC, FPGA, multicore, GPU, Educational techniques including novel curricula and laboratories, assessment methods, distance learning, textbooks, and design projects, Industry and academic collaborative programs and teaching.

Important Dates

Author Guidelines

Paper Submission: Authors are invited to submit full-length (6 pages maximum), original, unpublished papers along with an abstract of at most 200 words. To enable blind review, the author list should be omitted from the main document. Previously published papers or papers currently under review for other conferences/journals should NOT be submitted and will not be considered. Electronic submission in PDF format to the http://www.glsvlsi.org website is required. Author and contact information (name, affiliation, mailing address, telephone, fax, e-mail) must be entered during the submission process.

Paper Format (camera-ready): Submissions should be in camera-ready two-column format, following the ACM proceedings specifications located at: ACM Template and the classification system detailed at: ACM 2012 Class

Please use the ACM sigconf template if you are using Latex.

Paper Publication and Presenter Registration: Papers will be accepted for regular or poster presentation at the symposium. Every accepted paper MUST have at least one author registered to the symposium by the time the camera-ready paper is submitted; at least one of the authors is also expected to attend the symposium and present the paper.

This site is maintained by:
GLSVLSI 2019 Webmaster
Yi-Chung Chen (cheny@newpaltz.edu), SUNY at New Paltz.