GLSVLSI: Great Lakes Symposium on VLSI



Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
GLSVLSI 2023 Great Lakes Symposium on VLSI
Jun 5, 2023 - Jun 7, 2023 Knoxville, TN, USA Mar 17, 2023
GLSVLSI 2022 Great Lakes Symposium on VLSI
Jun 6, 2022 - Jun 8, 2022 Orange County, CA, USA Feb 1, 2022
GLSVLSI 2021 ACM Great Lakes Symposium on VLSI
Jun 22, 2021 - Jun 25, 2021 Virtual Jan 31, 2021
GLSVLSI 2019 The 29th Edition of the ACM Great Lakes Symposium on VLSI
May 23, 2019 - May 25, 2019 Washington D.C., USA Dec 28, 2018
GLSVLSI 2018 The 28th edition of the ACM Great Lakes Symposium on VLSI
May 23, 2018 - May 25, 2018 Chicago, Illinois, USA Dec 11, 2017
May 10, 2017 - May 12, 2017 Banff, Alberta, Canada Jan 6, 2017 (Dec 23, 2016)
May 18, 2016 - May 20, 2016 Boston, MA, USA Dec 21, 2015
GLSVLSI 2014 Great Lakes Symposium on VLSI Systems
May 21, 2014 - May 23, 2014 Houston, Texas, USA Dec 2, 2013
GLSVLSI 2013 Great Lakes Symposium on VLSI 2013
May 2, 2013 - May 4, 2013 Paris, France Dec 15, 2012
GLSVLSI 2011 Great Lakes Symposium on VLSI 2011
May 2, 2011 - May 4, 2011 Lausanne, Switzerland Dec 5, 2010
GLSVLSI 2010 20th Great Lakes Symposium on VLSI 2010
May 9, 2010 - May 9, 2010 Providence, RI, USA Dec 7, 2009
GLSVLSI 2009 Great Lakes Symposium on VLSI 2009
May 10, 2009 - May 12, 2009 Boston, MA, USA Nov 30, 2008
GLSVLSI 2008 Great Lakes Symposium on VLSI 2008
May 4, 2008 - May 6, 2008 Orlando, FL, USA Nov 30, 2007

Present CFP : 2023

Call for Late Breaking Research Papers: GLSVLSI 2023

June 5-7, 2023, Knoxville, TN, USA
Sponsored by ACM SIGDA

** Selected papers from GLSVLSI 2023 program will be invited to special section of IEEE Transactions on Emerging Topics in Computing **

The 33rd edition of GLSVLSI will be held as an in-person conference. Original, unpublished papers describing research in the general areas of VLSI and hardware design are solicited. Please visit for more information.

In addition to the traditional topic areas of GLSVLSI listed below, papers are also solicited for a new track on “IoT and Smart Systems”.

- VLSI Circuits and Design: ASIC and FPGA design, microprocessors/micro-architectures, embedded processors, high-speed/low-power circuits, analog/digital/mixed-signal systems, NoC, SoC, IoT, interconnects, memories, bio-inspired and neuromorphic circuits and systems, BioMEMs, lab-on-a-chip, biosensors, CAD tools for biology and biomedical systems, implantable and wearable devices, machine-learning for design and optimization of VLSI circuits and design.
- IoT and Smart Systems: Circuits, computing, processing, and design of IoT and smart systems such as smart cities, smart healthcare, smart transportation, smart grid etc.; cyber-physical systems, edge computing, machine learning for IoT, TinyML, cloud computing for IoT devices.
- Computer-Aided Design (CAD): hardware/software co-design, high-level synthesis, logic synthesis, simulation and formal verification, layout, design for manufacturing, algorithms and complexity analysis, physical design (placement, route, CTS), static timing analysis, signal and power integrity, machine learning for CAD and EDA design.
- Testing, Reliability, Fault-Tolerance: digital/analog/mixed-signal testing, reliability, robustness, static/dynamic defect- and fault-recoverability, variation-aware design, learning-assisted testing.
- Emerging Computing & Post-CMOS Technologies: nanotechnology, 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 Trojans, side-channel analysis, CPS/IoT security, machine learning for HW security.
- VLSI for Machine Learning and Artificial Intelligence: hardware accelerators for machine learning, novel architectures for deep learning, brain-inspired computing, big data computing, reinforcement learning.
- Microelectronic Systems Education: Pedagogical innovations using a wide range of technologies such as ASIC, FPGA, multicore, GPU, TPU, educational techniques including novel curricula and laboratories, assessment methods, distance learning, textbooks, and design projects, Industry and academic collaborative programs and teaching.

Late breaking news: March 17, 2023 (11:59pm EST)
Acceptance Notification: March 21, 2023
Camera-Ready: April 5, 2023

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 website is required. Author and contact information (name, affiliation, mailing address, telephone, fax, e-mail) must be entered during the submission process.

Submissions should be in camera-ready two-column format, following the ACM proceedings specifications located at:
and the classification system detailed at:

Papers will be accepted for regular or poster presentations 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.

- Himanshu Thapliyal, University of Tennessee, Knoxville, USA
- Ronald F. DeMara, University of Central Florida, USA

- Inna Partin-Vaisband, University of Illinois Chicago, USA
- Srinivas Katkoori, University of South Florida, USA

- Boris Vaisband, McGill University, Canada

- Ujjwal Guin, Auburn University, USA
- Ramtin Zand, University of South Carolina, USA

- Naghmeh Karimi, University of Maryland, BC, USA

- Touraj Nikoubin, University of Texas Dallas, USA

- Norbert Herencsar, Brno Univ. of Tech., Czech Republic
- Srihari Rao Patri, NIT Warangal, India

- Soheil Salehi, University of Arizona, USA
- Amit Degada, Marvell Technology, USA

- Hai Zhou
- Victor Zhirnov
- Weisheng Zhao
- Zhiyuan Yan
- Ken Stevens
- Ioannis Savidis
- Avesta Sasan
- Gang Qu
- Tinoosh Mohsenin
- Martin Margala
- Enrico Macii
- Fabrizio Lombardi
- Alex Jones
- Houman Homayoun
- Jie Han
- Deming Chen
- Yiran Chen
- Erik Brunvand
- Sanjukta Bhanja
- Baris Taskin
- Hai (Helen)Li

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