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GLSVLSI 2026: Great Lakes Symposium on VLSI

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GLSVLSI
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투고 마감일:
2026-03-02
통보일:
2026-04-30
개최일:
2026-06-22
개최지:
Finger Lakes, New York, USA
개최 횟수:
36
CCF: C   QUALIS: B1   조회: 40110   팔로우: 37   참가: 6

회반 지수 (CP-I)

69.4 / 100
전체 5,658개 중 341위 · 상위 7%

시스템·아키텍처 분야 340개 중 61위

학술적 인정 (35%)
78
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
개최 횟수 (20%)
97
커뮤니티 관심도 (10%)
52
공개 자료 충실도 (15%)
50

사용한 입력: 수록 등급: CCF C, QUALIS B1 · 확인되는 개최 횟수: 36 · 회반에서 팔로우 중인 연구자: 37명 · 지난 24개월 동안 이 페이지를 연 연구자: 8명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 80% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-10

논문 모집

GLSVLSI 2026 (Great Lakes Symposium on VLSI) is a CCF C / QUALIS B1 conference held in Finger Lakes, New York, USA on 2026-06-22. The paper submission deadline is 2026-03-02. Acceptance notifications are sent on 2026-04-30.

Program Tracks VLSI Circuits and Design: ASIC and FPGA design, microprocessors/micro-architectures, embedded processors, high-speed/low-power circuits, analog/digital/mixed-signal circuits, NoC, SoC, IO & interconnects, memories, lab-on-a-chip, biomedical sensors and devices, circuits for wearable or robotic devices, VLSI design and optimization. VLSI for Artificial Intelligence (AI): hardware AI accelerators, novel circuit and architectures for machine learning & AI, brain-inspired and neuromorphic computing hardware, compute-in-memory 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; machine learning for IoT; robots; wearable device and system; network & communication system. 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), timing analysis, signal and power integrity, machine learning and AI for CAD and EDA. Testing, Reliability, Fault-Tolerance: digital/analog/mixed-signal testing, reliability, robustness, static/dynamic defect- and fault-recoverability, variation-resilient design, learning-assisted testing. Emerging Computing & Post-CMOS Technologies: nanotechnology, quantum computing, approximate and stochastic computing, post CMOS VLSI. Hardware Security: trusted IC, IP protection, hardware security primitives, reverse engineering, side-channel attack/defense, CPS/IoT security, AI for HW security, hardware for classical and post-quantum cryptography. Microelectronic System Education Workshop A one-day co-located workshop will cover the following topics: 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.
최종 수정: Dou Sun ()

베스트 페이퍼

연도베스트 페이퍼
2024Incremental SAT-based Exact Synthesis
2024Advanced Continuous-Time Convolution Framework for Security Assurance in Wireless Sensor Networks
2024Application of Quantum Tensor Networks for Protein Classification
2024EDA-schema: A Graph Datamodel Schema and Open Dataset for Digital Design Automation
2024System Architecture Optimization for Vertical Power Delivery
2023Statistical Weight Refresh System for CTT-Based Synaptic Arrays
2023Noise-Resilient and Reduced Depth Approximate Adders for NISQ Quantum Computing
2023Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines
2023IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge
2022Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays
2022Protected ECC Still Leaks: A Novel Differential-Bit Side-channel Power Attack on ECDH and Countermeasures
2020Towards Programmable All-Digital True Random Number Generator
2020LORAX: Loss-Aware Approximations for Energy-Efficient Silicon Photonic Networks-on-Chip
2020An Approximate Carry Estimating Simultaneous Adder with Rectification
2018SAT-Lancer: A Hardware SAT-Solver for Self-Verification
2018Adapting Convolutional Neural Networks for Indoor Localization with Smart Mobile Devices
2017LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks
2016Low-Power Manycore Accelerator for Personalized Biomedical Applications

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
VLSI DesignHindawi1065-514X
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174
CIEEE Transactions on Big Data5.7IEEE2332-7790

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