GLSVLSI 2021 Virtual Conference and Exhibition

Time 2021-04-27 07:08:16

Web Name: GLSVLSI 2021 Virtual Conference and Exhibition

WebSite: http://www.glsvlsi.org

ID:172537

Keywords:

Virtual,GLSVLSI,Exhibition,

Description:

The 31st edition of GLSVLSI will be held as an online 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 Original, unpublished papers describing research in the general areas of VLSI and hardware design are solicited.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 solicited for a special theme of “Machine learning in CAD, EDA, and VLSI Design and Security”. 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, 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, 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. 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 LaTeX users, please use the ACM sigconf template. 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 2021 Webmaster Yi-Chung Chen (ychen@tnstate.edu), Tennessee State University.

TAGS:Virtual GLSVLSI Exhibition 

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