Speaker

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Tom Vacek

Research Scientist, Thomson Reuters

Tom Vacek is a Research Scientist at Thomson Reuters, with experience in search, recommendation, and legal informatics and research interests in numerical optimization and statistical learning theory. He is a PhD candidate at the University of Minnesota.

Sessions

Flyby: Improved Dense Matrix Multiplication

At Thomson Reuters Reseach and Development, we have found several business tasks with the same computational dependencies as distributed matrix multiplication, such as computing user-product recommendations and interpreting LDA topics. While matrix multiplication is an…