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Original, unpublished papers describing research in the general areas of VLSI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. Stay tuned 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”.
Call for Papers
Paper submission deadline:
February 6, 2023 (11:59 EST)
Notification of acceptance/rejection:
March 21, 2023
Camera-Ready Paper Due:
April 5, 2023
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
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, design projects, and industry/academic collaborative programs and teaching.
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
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.
This site is maintained by:
GLSVLSI 2023 Webmaster
Tyler Cultice (email@example.com),
University of Tennessee - Knoxville.