Vivek Bharadwaj
PhD student. Works on: graphs, sparse tensors, and randomized algorithms.
I am an EECS graduate student at UC Berkeley, advised by the fantastic pair Jim Demmel and Aydın Buluç. 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.
- Sparse Computations
- Tensor Algorithms
- Numerical Linear Algebra
Interests
- PhD in Computer Science.
UC Berkeley, 2020-Present - BS in CS + Mathematics.
Caltech, 2016-2020
Education
Email: firstname_lastname [at] berkeley.edu
I am an EECS graduate student at UC Berkeley, advised by the fantastic pair Jim Demmel and Aydın Buluç. 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.
- Sparse Computations
- Tensor Algorithms
- Numerical Linear Algebra
Interests
- PhD in Computer Science.
UC Berkeley, 2020-Present - BS in CS + Mathematics.
Caltech, 2016-2020
Education
Email: firstname_lastname [at] berkeley.edu
news
Sep 25, 2024
09/25/24
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Beheshteh Rakhshan and I, along with Osman Asif Malik and Guillaume Rabusseau, worked on this paper on sketching tensor train core chains. It was just accepted as a poster to NeurIPS 2024. |
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May 14, 2024
05/14/24
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I am thrilled to receive Berkeley's Teaching Effectiveness Award (2023-2024). The prize comes with a $500 check, and the list of winners is online. Read my essay on my blog or on the GSI center website! |
May 4, 2024
05/04/24
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Charles Block, Gerasimos Gerogiannis, and three other wonderful researchers from UIUC and IU built on the code from our 2022 IPDPS paper. Read their ASPLOS 2024 paper here. Update: Nabil Abubaker and Torsten Hoefler (ETH Zurich) also tested our code! Their paper is here. |
recent & upcoming talks
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Nov 1, 2024Subspace Embeddings for Khatri-Rao Products (Redux)May 13, 2024SIAM Conference on Applied Linear Algebra, Paris, FranceSampling-Based Sketches for Tensor Train Core ChainsMar 5, 2024SIAM Conference on Parallel Processing, Baltimore MDDistributed-Memory Randomized Candecomp / PARAFAC Decomposition
selected publications
* denotes equal contribution-
NeurIPSSPAANeurIPS