Alireza Doostan is leading a major effort for real-time data compression for supercomputer research ... discretization, machine learning, linear algebra, and statistics. “This is a very ...

“Irregular applications, such as graph analytics and sparse linear algebra, exhibit frequent indirect, data-dependent accesses to single or short sequences of elements that cause high main memory ...

Practical applications such as image compression, least squares data fitting, and numerical solution of differential equations, will also be presented. Topics for this course include: vector and ...

For those interested in working with linear algebra with numerical tools - i.e. floating point numerical data (engineering, data science, etc.) you'll be interested in doing this through the NumPy ...