Jakub Kurzak is a Research Assistant Professor at the Innovative Computing Laboratory in the University of Tennessee, Knoxville's Department of Electrical Engineering and Computer Science. Jakub earned his MSc in Electrical and Computer Engineering from Wroclaw University of Technology in Wroclaw, Poland, and he earned his PhD in Computer Science from the University of Houston in Houston, Texas. Jakub's research interests include dense linear algebra libraries for high-performance computing and automatic performance tuning for hardware accelerators.

Dr. Kurzak is the co-PI and the technical lead for the Software for Linear Algebra Targeting Exascale (SLATE) project, which is part of the US Department of Energy’s (DOE) Exascale Computing Project (ECP). The objective of SLATE is to replace the venerable Scalable Linear Algebra PACKage (ScaLAPACK), which has become the industry standard for dense linear algebra operations in distributed memory environments. However, after two decades of operation, ScaLAPACK is past the end of its lifecycle and overdue for a replacement, as it can hardly be retrofitted to support hardware accelerators, which are an integral part of today's HPC hardware infrastructure.
Linear Algebra
Parallel Programming Languages, Libraries, and Models
Task-based programming
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