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VLSI System Computing Lab (VSCLAB)

VSCLAB introduction

VLSI System Computing Lab (VSCLAB) is directed by Prof. Sheldon Tan, who is a Professor at Department of Electrical and Computer Engineering at Bourns College of Engineering.  Dr. Tan is also a cooperating faculty member (co-faculty) of the Computer Science and Engineering department. Here are his latest curriculum vitae and short biography and my publication list

In addition, Dr. Tan is the Editor in Chief (EIC) of Integration, The VLSI Journal, which is one of the primary journals in the VLSI design and CAD/design automation (EDA) areas with CiteScore 3.8 and IF 2.2 (as of 2024).  Welcome to submit your papers to this journal. 

VSCLAB Recent Research Highlights:

Current research areas

  • AI and LLM-powered approaches for VLSI reliability modeling and optimization
  • Low power hardware accelerator design for machine and deep learnings
  • Digital twins for advanced package and chiplet designs for thermal and reliability integrity
  • Machine learning based thermal modeling, optimization and dynamic thermal management emerging package in system and chiplet design
  • Parallel computing and  analysis on heterogeneous and accelerator-rich (GPUs) platforms

We appreciate support from the following sponsors

 

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Intel Inside! | PosterSemiconductor Research Corporation (SRC) | Interdisciplinary ...Media Resources | Cadence

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Latest News from VSCLAB

Ph.D. student Subed Lamichhane won Dissertation Completion Fellowship Award (DCFA)

Subed just won Dissertation Completion Fellowship Award (DCFA) for his last year in PhD student at UCR. It will cover two quarter stipends (about $10K) in 2025. This is a very competitive aware for senior Ph.D. students in UCR graduate...

VSCLAB introduce hybrid temporal computing framework for power efficient AI computing

VSCLAB is excited to share that we proposed a new low-power computing paradigm called Hybrid Temporal Computing (HTC). In HTC, data for multiplication are encoded in a hybrid format combining temporal data and traditional bitstream data. The temporal data concept...

VSCLAB introduced open-sourced thermal map dataset from commercial CPU/GPU/TPU multi-core and many-core processors

VSCLAB introduced the first publicly available thermal map dataset from commercial CPU/GPU/TPU multi-core and many-core processors! These datasets were gathered using our advanced thermal imaging system at VSCLAB, UC Riverside and include both raw thermal maps and workload-dependent utilization metrics...

Sponsored projects

The job openings in VSCLAB

My group now has 2-3 Ph.D. openings for the Fall 2025. Students with electrical engineering, computer science, physics and applied mathematics backgrounds are welcome to apply. Students with M.S. degrees are preferred. Full financial supports will be provided for qualified students.