Accessible news articles about our research
Here is an accessible article about the GraphBLAS effort (accompanied with three unpleasant pictures). More info, including a reference implementation by Tim Davis and the C language API can be found in the GraphBLAS Forum website (standard building blocks for graph algorithms in the language of matrices).
HipMCL clusters protein similarity networks with 70 billion edges in a couple of hours. This highly-scalable implementation of the Markov Cluster algorithm is available open source. Here is an accessible press release.
Communication-avoiding algorithms help accelerate graphical model estimation (a.k.a. inverse covariance matrix estimation): http://cs.lbl.gov/news-media/news/2018/scalable-machine-learning-with-hp-concord/
A few presentations with accompanying videos
The COVID-19 reality encouraged us to create a Youtube channel for our research presentations.