Theory, Algorithm, Parallelism, Architecture, Performance. Unending iterative progress!...

Dr. Kadir Akbudak is a Consultant at Extreme Computing Research Center at KAUST, working with Professor David E. Keyes and Dr. Hatem Ltaief.

Research Interests

Kadir Akbudak's research interests include Combinatorial scientific computing, Graph and hypergraph partitioning, Locality-aware partitioning and scheduling, High performance kernels for sparse computations, Vectorization for irregular applications, Iterative numerical methods and Parallel numerical algorithms.

Education Profile

  • Ph.D., Computer Engineering, Bilkent University, 2015.
  • M.S., Computer Engineering, Bilkent University, 2009.
  • B.S., Computer Engineering, Hacettepe University, 2007.

Awards and Distinctions

  • Gauss Award for best paper at the ISC Conference (2020).
  • Bilkent University Scholarship (2007-2015)
  • TUBITAK (The Scientific and Technical Research Council of Turkey) Scholarship (2007-2014)
  • Computing Facility Award on EURORA (MIC cluster, Italy) for Cache-Aware Sparse Matrix Multiplication on Intel MIC Architecture.
  • Computing Facility Award on  JUQUEEN (BG/Q, Germany) for Investigation of the Applicability of Map/Reduce Paradigm on Supercomputing Systems for Multi-Petascalability,  abstract is available at:
  • Computing Facility Award on  JUQUEEN (BG/Q, Germany) for Improving Sparse Matrix Multiplication Operations in CP2K.

Selected Publications

Al-Harthi, N., Alomairy, R., Akbudak, K., Chen, R., Ltaief, H., Bagci, H., & Keyes, D. (2020). Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization. High Performance Computing, 209–229.
Akbudak, K., Ltaief, H., Etienne, V., Abdelkhalak, R., Tonellot, T., & Keyes, D. (2020). Asynchronous computations for solving the acoustic wave propagation equation. The International Journal of High Performance Computing Applications, 34(4), 377–393.
Abdelkhalak, R., Akbudak, K., Etienne, V., Ltaief, H., Tonellot, T., & Keyes, D. (2019). Application of High Performance Asynchronous Acoustic Wave Equation Stencil Solver into a Land Survey. SPE Middle East Oil and Gas Show and Conference.
Akbudak, K., Ltaief, H., Mikhalev, A., & Keyes, D. (2017). Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures. High Performance Computing, 22–40.