The High Level Systems Design lab builds circuits. Our lab encompasses the stages of electronic design from the development of tools for exploring what to build to the layout of transistors for the fabrication of prototype chips. Once an integrated circuit is fabricated we test the final design to verify its construction and incorporate the results into our body of knowledge used to built the future chips.
Radiation Hardened Electronics
Space exploration, physics experiments, power plants and medical technology all share a need for electronics which survive in extreme environments, where electromagnetic radiation can destroy traditional digital electronics. Our lab develops tools that enable the design of circuits able to withstand the impact of radiation and still function successfully. This means when a circuit needs to survive inside of a particle accelerator we are able to build a design for that or if a robot needs to be controlled in space, we can build circuits for that, too.
Asynchronous Architectures & CAD Tools
Our lab explores designs where the clock is missing and the computation is carried out using event driven operations. We build CAD tools to verify and synthesize closed models of high performance asynchronous systems.
Mixed Signal Circuit/System Design
Mixed signal design intermingles the traditional paradigm of boolean logic with the physics of analog electronics to built novel integrated circuits. Our research considers how concepts like integrated charge enable successful designs of serial links in a design space where traditional metrics would predict failure.
Bitstream Control & Signal Processing
This research involves developing formal methodologies and techniques for designing digital circuits around computation on raw bitstreams. The results are digital circuits which deliver low latency, low complexity, and low power performance for applications like active noise cancellation and micro-electro-mechanical systems (MEMS) control.
The Learning-Based Multimedia Lab focuses on research projects for a wide range of multimedia applications. Our current research directions include:
Particular Focus - CMOL Technology:
The basic idea of CMOL circuits (standing for Cmos + MOLecular-scale devices) is to combine the advantages of the CMOS technology including its flexibility and high fabrication yield with those of ultra dense stackable crosspoint devices, e.g. those based on resistive switching phenomena. The nanoscale devices are naturally incorporated into the crossbar fabric enabling very high functional density at acceptable fabrication cost. In particular, CMOL circuits are especially suitable for digital memories, reconfigurable computing and bio-inspired signal processing.
The Banerjee group focuses on various aspects of nanoelectronics research, including fundamental physics, electrical and thermal modeling, robust circuit/architecture design, as well as nanomaterial synthesis and nanostructure/device fabrication. Work in the Nanoelectronics Research Lab (NRL) falls into one of the following areas:
SEALab aims at leveraging emerging technologies (with emphasize on 3D integration and emerging nonvolatile memory) for edge-cutting applications (e.g., machine learning and bioinformatics).
SEALab distinguishes itself by strong cross-layer researches going from device to application, and works on circuit design, EDA tools, and computer architecture at the same time. Recent research highlights are as follows:
3D Design & Design Automation
The architecture we proposed in 2012 turns to the world-first 3D GPU on the market (AMD Fury X). Our recent researches including cost analysis for 2.5D/3D integration, heterogonous integration, and 3D based hardware security study.
Modeling, Architecture and Application for Emerging Nonvolatile Memory
We help the community to understand NVM’s pros and cons for better utilizing them to improve the future computing systems, e.g., IoT, GPGPU, NoC, and Data Center. We are also interested in utilizing NVM’s nonvolatility feature for normally-off computing, check-pointing, and persistent memory.
Energy-efficient Hardware for Machine Learning and Neuromorphic Computing
We explore optimizing machine learning applications on parallel and heterogonous architecture as well as reconfigurable fabric. We also leverage emerging technologies for machine learning and bio-inspired applications, e.g., 3D stacked high bandwidth memory, low-power NVM.
The Test and Verification Lab leverages machine learning algorithms to assist in the process of knowledge discovery during the design and manufacturing process.
The application of our research lies in two fronts:
Test: During the test process, numerous measurements are performed on each chip to ensure that each chip meets its design specifications and is working properly. We examine ways to leverage this data to reveal new insights into the manufacturing process that can then be used to create positive outcomes for the company. So examples of these outcomes from previous projects include but are not limited to:
Verification: Functional verification is an iterative process since the design changes over time. Tons of machine hours are spent on simulating the tests in hope of covering all corners of the design and capturing functional bugs. Valuable knowledge is embedded in the simulation data and regression tests accumulated along the verification process. Data mining techniques can be applied to extract the knowledge and leverage them to improve the verification efficiency. Here are two example applications from previous projects:
Since its inception in 1990, many researchers including graduate students, scholars, faculty, and industry associates have actively participated in the lab's activities. Members of the VLSI CAD Lab exhibit diverse research interests in the field of Electronic Design Automation ranging from logic synthesis to manufacturing and more.
Recent research activities include: