GLSVLSI: Great Lakes Symposium on VLSI

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
GLSVLSI 2024 Great Lakes Symposium on VLSI
Jun 12, 2024 - Jun 14, 2024 Tampa Bay Area, FL, USA Mar 8, 2024
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
GLSVLSI 2017 GLSVLSI 2017
May 10, 2017 - May 12, 2017 Banff, Alberta, Canada Jan 6, 2017 (Dec 23, 2016)
GLSVLSI 2016 IEEE GLSVLSI
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 : 2024

GLSVLSI is dedicated to sharing innovative research across a broad range of VLSI subjects, and we believe your expertise and insights would greatly contribute to the success of our event. This is an excellent opportunity to showcase your work, connect with fellow researchers, and engage in meaningful discussions within your field.

Key details:

Conference Dates: June 12-14, 2024 (adjacent to DAC 2024)
Submission Deadline: March 8, 2024
Location: Clearwater, Florida

For more information, please visit our website https://www.glsvlsi.org/

Program Tracks
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, analog/digital/mixed-signal circuits.

IoT and Smart Systems: circuits, computing, processing, and design of IoT and smart systems such as smart cities, smart healthcare, smart transportation, smart grid, cyber-physical systems, edge computing, machine learning for IoT, TinyML.

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, 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, TPU, educational techniques including novel curricula and laboratories, assessment methods, distance learning, textbooks, and design projects, Industry and academic collaborative programs and teaching.

Important Dates:
Paper submission deadline: February 20, 2024 (11:59pm EST) [Extended]
Acceptance Notification: March 28, 2024
Camera-Ready: April 12, 2024

Guidelines
Paper Submission: Authors are invited to submit full-length 6-page (with 2 extra pages for an additional fee), 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.

For Overleaf users, please find the following template: ACM Proceedings Template - Overleaf. For LaTeX users, please find the following ZIP file: acmart-primary.zip. For Word users, please find the following template: interim-layout.docx.

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.

By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.
 

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