会議情報
GLSVLSI 2023: Great Lakes Symposium on VLSI
http://www.glsvlsi.org/
提出日:
2023-02-06
通知日:
2023-03-21
会議日:
2023-06-05
場所:
Knoxville, Tennessee, USA
年:
33
CCF: c   QUALIS: b1   閲覧: 21415   追跡: 34   出席: 6

論文募集
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.
    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, design projects, and industry/academic collaborative programs and teaching.
最終更新 Dou Sun 2022-12-12
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関連仕訳帳
CCF完全な名前インパクト ・ ファクター出版社ISSN
cIntegration, the VLSI Journal1.211Elsevier0167-9260
Kybernetes1.381Emerald0368-492X
cIEEE Transactions on GamesIEEE2475-1502
aProceedings of the IEEE10.69IEEE0018-9219
International Journal of Computer Assisted Radiology and Surgery2.924Springer1861-6410
IPSJ Transactions on System LSI Design Methodology Information Processing Society of Japan1882-6687
TripleCUnified Theory of Information Research Group1726-670X
Semantic Web3.524IOS Press1570-0844
International Journal of Health Geographics3.918Springer1476-072X
International Journal of Next-Generation Networks AIRCC0975-7252
完全な名前インパクト ・ ファクター出版社
Integration, the VLSI Journal1.211Elsevier
Kybernetes1.381Emerald
IEEE Transactions on GamesIEEE
Proceedings of the IEEE10.69IEEE
International Journal of Computer Assisted Radiology and Surgery2.924Springer
IPSJ Transactions on System LSI Design Methodology Information Processing Society of Japan
TripleCUnified Theory of Information Research Group
Semantic Web3.524IOS Press
International Journal of Health Geographics3.918Springer
International Journal of Next-Generation Networks AIRCC
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