Smith Receives Prestigious ACM/IEEE-CS Fellowship
Ph.D. student Shaden Smith has received a 2017 ACM/IEEE-CS George Michael Memorial High Performance Computing Fellowship. The fellowship honors exceptional Ph.D. students throughout the world whose research focus areas are in high-performance computing (HPC), networking, storage, and large-scale data analysis.
Smith is being honored for his overall contributions to HPC. Advised by Professor George Karypis, Smith’s research is primarily concerned with the development of scalable, high performance algorithms for applications in data mining and machine learning. He is particularly interested in irregular applications, such as those that operate on sparse graphs, matrices, and tensors. His thesis work has focused on large-scale sparse tensor factorization and is culminated in SPLATT, an open source software toolkit for tensor factorization and related kernels.
ACM’s press release describes Smith as having made “several fundamental contributions that have already advanced the state of the art on sparse tensor factorization algorithms.” These contributions include greatly increasing the speed of serial and parallel algorithms in the areas of Canonical Polyadic Decomposition (CPD).
Smith is the first University of Minnesota Ph.D. student to have received this prestigious fellowship and joins an excellent group of past recipients. Only two fellowships are awarded each year and it includes a $5,000 honorarium, plus travel and registration to receive the award at the annual SC conference. This year's will be held in November in Denver, Colorado.
Please join the Department in extending our congratulations to Smith on this significant distinction. A complete list of ACM/IEEE-CS Fellows can be found at ACM’s website.