Talks
Talks & videos
Recorded talks and tutorials on sparse computation, graph algorithms, and scientific computing.
October 2025 · Simons Institute
Parallelism in Modern Sparse Linear Solvers
Managing Parallelism Workshop, Berkeley.
July 2022 · ACM ISSAC
Sparse Matrices Powering Three Pillars of Science: Simulation, Data, and Learning
Invited tutorial, Lille, France. Two-part recording.
March 2022 · ETH Zurich
Parallel Sparse Matrix Algorithms for Data Analysis and Machine Learning
SPCL_BCast seminar series.
April 2021 · NJIT
Large-Scale Graph Representation Learning and Computational Biology Through Sparse Matrices
Institute for Data Science seminar.
June 2020 · MIT
Sparse Matrices Beyond Solvers: Graphs, Biology, and Machine Learning
Fast Code seminar series.
2018 · GraphXD
Graph Abstractions in Computational Genomics
GraphXD: Graphs Across Domains, Berkeley.
June 2014 · MMDS
Reducing Communication in Parallel Graph Computations
Workshop on Algorithms for Modern Massive Data Sets, Berkeley.
October 2013 · Simons Institute
Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Communication