Prof. Sheldon Tan has been selected to serve as the IEEE CEDA Distinguished Lecturer for 2022-2023. Under this DL program, Prof. Tan will delivers a few lectures over the time 2022-2023 to the EDA community to disseminate the latest research works developed in the VSCLAB. The mission of the CEDA Distinguished Lecturer Program (DLP) is...
Dr. Liang Chen's work on the electrothermal modeling and optimal design has been accepted by IEEE Transaction on TCAD. This work develops a novel compact electrothermal devices (TEC) based on the first principles. Based on this model, the optimal voltages can be derived analytically for a given TEC devices for maximum cooling capacity. L. Chen...
Three papers have been accepted by ASPDAC 2022 as below. The first paper is about new graph convolution network based analysis techniques for emerging chipset design. The second paper is about new fast EM analysis technique consider Joule heating effects. The third paper is about new approximate multiplier design based logarithmic multipliers. Congratulation on the...
NSF funded the research of VSCLAB for for machine learning based thermal monitoring and run-time thermal management for manycore processors and chiplet designs. Prof. Sheldon Tan is the single PI for this research work with 500K budget for three years. Today’s high-performance processors, and even emerging mobile platforms, are more thermally constrained than ever before...
The research work for performing full-chip power and thermal map estimation for commercial multi-core microprocessor under realistic heat sink cooling has been accepted by IEEE Transaction on TCAD, the top journal in the EDA field. This work, leaded by Ph.D. student, Jinwei Zhang, is the first work to accurate estimate the full-chip power and thermal...
The work by Ph.D. student Sherif Sadiqbatcha on real-time full-chip thermal estimation based on the machine learning method for commercial multi-core CPU has been accepted by IEEE Transaction on Computer, the top journal for computer architecture. The is significant work from VSCLAB for using machine learning to generate the full-chip map directly from the tasks...
Most of senior PhD students in VSCLAB have received internship job offers for summer 2021. Sheriff Sadiqbatcha will continue work for Intel Corp. Wentian will work for Synopysis for machine learning related projects. Jinwei Zhang will work for PrimeTime in Synopsys, Shuyuan will work for PrimeShield group in Synopsys.
The PhD students and Dr. Sheldon Tan got together for the first time on March 26, 2021 for a hiking in the park in Central Ave in Riverside and dinner later in the Riverside plaza for the first time since the pandemic. It is really a joyful to meet most everyone in person for the...
Ph.D. student, Shaoyi Peng successfully defensed her thesis titled "Modeling and Simulation methods for VLSI Interconnect Reliability Focusing on TDDB". Shaoyi joined the VSCLAB in 2016 and he worked on the VLSI reliability modeling and GPU based parallel simulation. Shaoyi will join the Cerebras System, an AI chip startup as a senior engineer after graduation...
Ph.D. student, Han Zhou successfully defensed her thesis titled "Electromigration-Aware On-Chip Power Grid Design and Optimization". Han joined the VSCLAB in 2016 and she worked on the EM power grid optimization. Han will join Synopsys's IC compiler group as a senior engineer after graduation. We wish her the best for her future endeavors.
Two DAC 2021 paper from VSCLAB have been accepted. The first paper, led by PhD student Shyuan Yu, proposes a new approximate multiple using improved stochastic computing (called counter-based SC) techniques and showed significant advantages over existing state of the art approximate adders on DNN network applications. Congratulations on Shuyuan. COSAIM: Counter-based Stochastic-behaving Approximate Integer...
Our recent work based on the physics-constrained deep learning framework for electrostatics analysis was published in DATE 2021. In this work, we developed a label free self-learning method to solve differential equations for electrostatic analysis, which is important for reliability and capacitance extraction method. W. Jin, S. Peng, and S. X.-D. Tan, “Data-driven electrostatics analysis...