Filip Petrovic
According to our database1,
Filip Petrovic
authored at least 7 papers
between 2017 and 2023.
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Bibliography
2023
Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes.
Computing, November, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
J. Parallel Distributed Comput., 2022
2021
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures.
CoRR, 2021
2020
A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit.
Future Gener. Comput. Syst., 2020
2017
Proceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems, 2017