Abbrevation
ISQED
City
Santa Clara
Country
United States
Deadline Paper
Start Date
End Date
Abstract

A pioneer and leading multidisciplinary conference, ISQED accepts and promotes papers related to the manufacturing, design and EDA&#046; Authors are invited to submit papers in the various disciplines of high level design, circuit design (digital, analog, mixed&#8211;signal, RF), test &amp; verification, design automation tools; processes; flows, device modeling, semiconductor technology, advance packaging, and biomedical &amp; bioelectronic devices&#046; All past Conference proceedings &amp; Papers have been published in IEEE Xplore digital library and indexed by Scopus&#046;<br>Electronic Design<br>System&#8211;level Design, Methodologies &amp; Tools<br>IOT &amp; Smart Sensors &#8211; Technology and Design<br>FPGA Architecture, Design, and CAD<br>IC Package &#8211; Design Interactions &amp; Co&#8211;Design<br>Advanced 3D ICs &amp; 3D Packaging<br>Robust &amp; Power&#8211;conscious Circuits &amp; Systems<br>Emerging/Innovative Process &amp; Device Technologies and Design Issues<br>Design of Reliable Circuits and Systems<br>Design of Embedded Systems<br>Design Automation and IP<br>IP Design, quality, interoperability and reuse<br>Design Verification and Design for Testability<br>Physical Design, Methodologies &amp; Tools<br>EDA Methodologies, Tools, Flows<br>Manufacturing, Semiconductor Process and Devices<br>Design for Manufacturability/Yield &amp; Quality<br>Effects of Technology on IC Design, Performance, Reliability, and Yield<br>Hardware and System Security<br>Cognitive Computing in Hardware (NEW in ISQED 2016)<br>The details of various topics of paper submission is as follows:<br>Cognitive Computing in Hardware (CCH)<br>Hardware accelerators for machine learning and deep learning algorithms including Support Vector Machines, Neural Networks, Hidden Markov Model Decoding, and Genetic Algorithms&#046; Machine learning algorithms optimized for CPUs or general purpose GPUs (GPGPUs)&#046; FPGA&#8211;accelerated implementations of machine learning algorithms&#046; Hardware implementations of machine learning algorithms for applications like image/object recognition, computer vision, speech recognition, and natural language processing&#046; Machine&#8211;learning based intelligence in IoT under highly constrained energy/power requirements&#046; System&#8211;wide partitioning for deep learning algorithms: algorithm training and recognition from cloud/server to IoT node&#046;<br>Hardware and System Security (HSS)<br>Hardware security attacks including (but not limited to) side&#8211;channel attacks, reverse engineering, tampering, and Trojans&#046; Supply&#8211;chain integrity&#046; Security for memory technologies&#046; Hardware&#8211;based security primitives including PUFs, TRNGs, and ciphers&#046; Design of encryption circuits&#046; Security, privacy, trust protocols, and trusted information flow using hardware security primitives&#046; Trusted design automation using untrusted tools&#046; Trusted manufacturing including split manufacturing, remote IC enabling/disabling, watermarking, and fingerprinting&#046; Techniques and metrics for hardware/software usage metering; evaluating system&#8211;data/hardware&#8211;design confidentiality, integrity, and authenticity; and, ensuring system security&#046;<br>Design Technology Co&#8211;Optimization (DTCO)<br>Optimization&#8211;based methodologies that address the interaction between design (custom, semi&#8211;custom, ASIC, FPGA, RF, memory, etc&#046;) and advanced node manufacturing techniques such as multiple patterning, EUV lithography, DSA lithography, and advanced interconnect (e&#046;g&#046;, air gap for local interconnect, Si photonics, etc&#046;)&#046; Modeling, analysis, and optimization of technology implications on performance metrics like power consumption, timing, area, and cost&#046; Design methods and tools to improve yield and manufacturability&#046;<br>Design Verification and Design for Testability (DVFT)<br>Hardware and software formal&#8211;, assertion&#8211;, and simulation&#8211;based design verification techniques to ensure the functional correctness of hardware early in the design cycle&#046; DFT and BIST for digital designs, analog/mixed&#8211;signal IC&#8242;s, SoC&#8242;s, and memories&#046; Test synthesis and synthesis for testability&#046; DFT economics, DFT case studies&#046; DFT and ATE&#046; Fault diagnosis, IDDQ test, novel test methods, effectiveness of test methods, fault models and ATPG, and DPPM prediction&#046; SoC/IP testing strategies&#046; Design methodologies dealing with the link between testability and manufacturing&#046;<br>EDA, Physical Design, and IP Cores (EDA)<br>EDA and physical design tools, processes, methodologies, and flows that address issues such as: large&#8211;scale SoC design, low&#8211;power design, noise sensitivity reduction, reliable clock distribution, timing closure, parasitic extraction, and reliable power grid design and analysis&#046; Design tools for analysis/ tolerance of variation, aging, and soft&#8211;errors&#046; Design and maintenance of hard and soft IP blocks, including methods and tools for analysis, comparison, and qualification of IP blocks&#046; Challenges and solutions of integrating, testing, qualifying and manufacturing IP blocks from multiple vendors&#046; Application of EDA to non&#8211;traditional problems such as smart power grid, Solar energy, etc&#046;<br>Emerging Process &amp; Device Technologies and Design Issues (EDT)<br>Emerging processes and device technologies and implications on IC design&#046; Emerging technologies including tunnel FETs, steep switching slope devices, horizontal/vertical nanowires, carbon nanotubes, and other nano&#8211;devices&#046; Device design and circuit optimization in emerging non&#8211;volatile memory and logic, such as Spin&#8211;Transfer Torque RAM, Phase Change Memory, Resistive RAM, and Memristors&#046; Use of emerging devices for cognitive, neuromorphic, or quantum computing&#046; Specialty technologies such as MEMs, CIS co&#8211;integration with application processors for the IoT market&#046;<br>Integrated Circuit Design (ICD)<br>Low power, high&#8211;performance, and robust design of logic, memory, analog, RF, programmable logic, and FPGA circuits&#046; Techniques for leakage control, power optimization, and power management including integrated voltage regulators&#046; Clock&#8211;generation and distribution circuits, including all&#8211;digital PLLs and DLLs&#046; Low power on&#8211;chip and chip&#8211;to&#8211;chip interconnect solutions&#046; Analog&#8211; to&#8211;digital and digital&#8211;to&#8211;analog converters&#046; Adaptive digital circuits and systems&#046; Soft&#8211;error and fault&#8211;tolerant circuits&#046; Circuit design for reliability effects such as gate oxide integrity, electromigration, ESD, HCI, NBTI, PBTI etc&#046; On&#8211;chip process, voltage, temperature, and aging sensors and monitoring&#046;<br>IoT – Design and Technology &amp; Smart Sensors (SSDT)<br>Sensor and actuator devices for use in IoT applications like Smart Home/Office automation, robotics, connected vehicles, aircraft, wearable systems, implantable electronics, environmental monitoring, and other industrial uses&#046; Device technologies for sensors including MEMS, magnetic, optical, chemical, and biological&#046; Hardware design for sensors including interface, calibration, energy harvesting, signal processing, and power management&#046; Software design for smart sensors including data processing algorithms and information fusion&#046; Sensor network design and processing&#046;<br>System&#8211;level Design and Methodologies (SDM)<br>Emerging system&#8211;level design paradigms, methods and tools aiming at quality of systems including multi&#8211;core processors, graphics processors; embedded systems, SoC, novel accelerator designs, and heterogeneous architecture designs&#046; System&#8211;level trade&#8211;off analysis and multi&#8211;objective (e&#046;g&#046; yield, power, delay, area, etc&#046;) optimization&#046; System level power and thermal management&#046; The influence of nanometer technology issues on the system level design&#046; System level modeling and simulation to characterize effects of process, voltage, temperature, and aging on power, performance, and reliability&#046;<br>Three Dimensional Integration and Advanced Packaging (TDIP)<br>Innovative packaging technologies including 3D IC, 2&#046;5D or interposer, and multi&#8211;chip module and their impact on system design&#046; Design techniques, methodologies, flows and EDA solutions for vertically integrated circuits/chips such as 2&#046;5D, TSV&#8211;based 3D, and monolithic 3D design including novel partitioning, power delivery design, clock tree design, reliable high&#8211;frequency signal communication, heatsink/cooling methods, and design&#8211;for&#8211; yield techniques&#046; Modeling and mitigation of via&#8211;to&#8211;via and via&#8211;to&#8211;device interactions for 3D ICs&#046; Design of die&#8211;to&#8211;die interfaces in 3D/2&#046;5D ICs&#046; Design&#8211;for&#8211;testability for 3D/2&#046;5D ICs&#046; System&#8211;level design issues in 3D/2&#046;5D&#046; Die&#8211;package co&#8211;design&#046;<br>