This work, which mainly developed by PhD student Yibo Liu and Shuyuan Yu, developed a new stochastic computing framework for performing hardware based division operation for fixed point numbers for the first time. They applied so-called counting-based stochastic computing technique to mitigate the existing issues of SC based divider such as coherent requirements of bit...
Dr. Sheldon Tan has just been awarded a prestigious grant from the National Science Foundation's CISE CCF Core Small program (CCF-2305437). The project, titled "SHF:Small: Learning-based Fast Analysis and Fixing for Electromigration Damage," is funded with $500,000 and spans from September 1, 2023, to August 31, 2026. This significant grant will provide essential support for...
This year, we have three accepted ICCAD 2023 papers, leaded by two Ph.D. students Jincong Lu and Subed Lamichhane and Post-Doc. Dr. Liang Chen. The three papers listed below. ICCAD is one of two top conferences in the design automation (see CSrankings.com). The first paper [1] proposed a new machine learning based approach to estimation...
Dr. Sheldon Tan delivered CEDA Virtual Distinguished Speaker Presentation, “Data-driven Deep Learning for Full-Chip Thermal and Power Estimation for Commercial Multi-core Systems”. The event was hosted by Prof. Helen Li on Feb. 6, 2023. The presentation can be viewed at here as UCR students.
Dr. Liang Chen joined Shanghai University, Shanghai China, in January 2023 as an Associate Professor. Congratulation on him. Dr. Liang was a post-doc at VSCLAB. He joined VSCLAB in 2018 as a visiting Ph.D. student and was co-supervised by Dr. Sheldon Tan for his Ph.D. study at UCR. He graduated in 2020 from SJTU and...
Our recent work, led by Ph.D. student, Han Zhou, to optimize the on-chip power grid networks considering the electromigration effects using machine learning based approach has been accepted by TCAD. This work represents our new approach to addressing the challenging EM failure and aging issues in the nanometer VLSI chip design. Our study shows that...
Most of senior PhD students in VSCLAB have received internship job offers for summer 2022. Wentian will work for Synopysis for machine learning related projects. Jinwei Zhang will work for Nvidia. Shuyuan will work for PrimeShield group in Synopsys. Subed Lamichhane will work in Synopsys and Yibo Liu will also work in the Synopsys for...
Ph.D. student Wentian Jin won UCR Dissertation Year Program (DYP) Fellowships for 2022-2023 from UCR graduate division. This fellowship is very competitive for all the Ph.D. students in the UCR to graduate in 2022-2023 academic year. This is a significant achievement for Wentian for his excellent academic performances and research achievement. Congrats on him!
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...