Autotuning of OpenCL Kernels with Global Optimizations. - Jiri Filipovic; Filip Petrovic; Siegfried Benkner (ANDARE@PACT, 2017)

A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit. - Filip Petrovic; David Strelák; Jana Hozzová; Jaroslav Olha; Richard Trembecký; Siegfried Benkner; Jiri Filipovic (Future Gener. Comput. Syst., 2020)

Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures. - Jiri Filipovic; Jana Hozzová; Amin Nezarat; Jaroslav Olha; Filip Petrovic (CoRR, 2021)

Using hardware performance counters to speed up autotuning convergence on GPUs. - Jiri Filipovic; Jana Hozzová; Amin Nezarat; Jaroslav Olha; Filip Petrovic (J. Parallel Distributed Comput., 2022)

Towards a Benchmarking Suite for Kernel Tuners. - Jacob O. Tørring; Ben van Werkhoven; Filip Petrovic; Floris-Jan Willemsen; Jiri Filipovic; Anne C. Elster (IPDPS Workshops, 2023)

Kernel Tuning Toolkit. - Filip Petrovic; Jiri Filipovic (SoftwareX, 2023)

Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes. - David Strelák; David Myska; Filip Petrovic; Jan Polák; Jaroslav Olha; Jiri Filipovic (Computing, 2023)