Program Tracks<br>• VLSI Design: ASIC and FPGA design, microprocessors/micro–architectures, embeddedprocessors, 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.<br>• VLSI Circuits and Power Aware Design: analog/digital/mixed–signal circuits,RF and communication circuits, chaos/neural/fuzzy–logic circuits, high–speed/low–powercircuits, temperature estimation/optimization, power estimation/optimization.<br>• 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.<br>• Testing, Reliability, Fault–Tolerance: digital/analog/mixed–signal testing,reliability, robustness, static and dynamic defect– and fault–recoverability,variation–aware design.<br>• Emerging Computing & Post–CMOS Technologies: nanotechnology, molecular and quantumcomputing, approximate and stochastic computing, sensor and sensor networks, post CMOS VLSI.<br>• Hardware Security: trusted IC, IP protection, hardware security primitives, reverseengineering, hardware Trojan, side–channel analysis, CPS and IoT security.<br>• VLSI for Machine Learning and Artificial Intelligence: hardware accelerators for machinelearning, computer architectures for machine learning, deep learning, brain–inspired computing, big datacomputing, cloud computing for Internet–of–Things (IoT) devices.<br>• Microelectronic Systems Education: pedagogical innovations using a wide range of technologiessuch as ASIC, FPGA, multicore, GPU, Educational techniques including novel curricula and laboratories,assessment methods, distance learning, textbooks, and design projects, Industry and academic collaborativeprograms and teaching.<br>
Abbrevation
GLSVLSI
City
Washington
Country
United States
Deadline Paper
Start Date
End Date
Abstract