Vivek Bharadwaj

PhD student. Works on: HPC, sparse tensors, and randomized algorithms.

I am an EECS graduate student at UC Berkeley, advised by the fantastic pair Jim Demmel and Ayd覺n Bulu癟. I'm associated with the BeBOP and PASSION groups, and I'm supported by a Department of Energy Computational Science Graduate Fellowship from the Krell Institute.

    Interests

  • Communication Analysis
  • Tensor Algorithms
  • Numerical Linear Algebra

    Education

  • PhD in Computer Science.
    UC Berkeley, 2020-Present
  • BS in CS + Mathematics.
    Caltech, 2016-2020

Email: firstname_lastname [at] berkeley.edu

images/prof_pic.jpg
images/prof_pic.jpg

I am an EECS graduate student at UC Berkeley, advised by the fantastic pair Jim Demmel and Ayd覺n Bulu癟. I'm associated with the BeBOP and PASSION groups, and I'm supported by a Department of Energy Computational Science Graduate Fellowship from the Krell Institute.

    Interests

  • Communication Analysis
  • Tensor Algorithms
  • Numerical Linear Algebra

    Education

  • PhD in Computer Science.
    UC Berkeley, 2020-Present
  • BS in CS + Mathematics.
    Caltech, 2016-2020

Email: firstname_lastname [at] berkeley.edu


news

Jan 17, 2024   
01/17/24  
I passed my qualifying exam! Check out my slides.
Dec 30, 2023   
12/30/23  
I will take my PhD qualifying exam on January 17 2024, which consists of a presentation of my research so far. You can find more details here.
Nov 5, 2023   
11/05/23  
My new website is up! It's a clone of al-folio, but rewritten entirely with Jinja, Python, and Pelican.

recent & upcoming talks

  1.  

    Mar 5, 2024
    Upcoming (day subject to change)

     

    Feb 6, 2024
    Randomized Leverage Score Sampling and CP Decomposition (Redux)

     

    Jan 17, 2024
    UC Berkeley Qualifying Exam
    Exploiting Sparsity and Randomness to Accelerate Linear Least-Squares at Scale

selected publications

  1.  

    Preprint
    Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition
    Vivek Bharadwaj, Osman Malik, Riley Murray, Ayd覺n Bulu癟, James Demmel
    Preprint, Oct 2023

     

    NeurIPS
    Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition
    Vivek Bharadwaj, Osman Malik, Riley Murray, Laura Grigori, Ayd覺n Bulu癟, James Demmel
    In Thirty-seventh Conference on Neural Information Processing Systems, Dec 2023

     

    IPDPS
    Distributed-Memory Sparse Kernels for Machine Learning
    Vivek Bharadwaj, Ayd覺n Bulu癟, James Demmel
    In 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Jun 2022