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 ...

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 ...

“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 ...

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 ...