GLSVLSI: Great Lakes Symposium on VLSI

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2023 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
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 : 2022

Call For Papers

GLSVLSI 2022
Conference and Exhibition, June 6-8, 2022, Orange County, CA, USA
http://www.glsvlsi.org/
Sponsored by ACM SIGDA

The 32nd 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 Original, unpublished papers describing research in the general areas of VLSI and hardware design are solicited.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 http://www.glsvlsi.org/ for more information. In addition to the traditional topic areas of GLSVLSI listed below, papers are solicited for a special theme of “Machine learning in CAD, EDA, and VLSI Design and Security”.

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, CAD tools for biology and biomedical systems, 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, machine-learning for design and optimization of analog/digital/mixed-signal circuits, clock and power network optimization through applied machine-learning.

* 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, reinenforcement 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.

Paper submission deadline: February 1, 2022 (11:59pm EST)
Acceptance Notification: March 21, 2022
Camera-Ready: April 5, 2022

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:
Submissions should be in camera-ready two-column format, following the ACM proceedings specifications located at: https://www.acm.org/publications/proceedings-template
and the classification system detailed at: http://www.acm.org/publications/class-2012

Paper Publication and Presenter Registration:
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.

Organizing Committee:

* General Co-Chairs
Ioannis Savidis
Drexel University, USA

Avesta Sasan
University of California, Davis, USA

* Program Co-Chairs
Himanshu Thapliyal
University of Tennessee, Knoxville, USA

Ronald F. DeMara
University of Central Florida, USA

*Proceedings Chair
Tooraj Nikoubin
University of Texas at Dallas, USA

* Finance Chair
Inna Partin-Vaisband
University of Illinois Chicago, USA


Steering Committee:

Martin Margala
Alex Jones
José Ayala
Hai (Helen) Li
Iris Bahar
Fabrizio Lombardi
Sanjukta Bhanja
Enrico Macii
Erik Brunvand
Gang Qu
Yehea Ismail
Ken Stevens
Deming Chen
Hai Zhou
Zhiyuan Yan
Laleh Behjat
H. Homayoun
Jie Han
Baris Taskin
Weisheng Zhao
Tinoosh Mohsenin
 

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