Filip Petrovic

According to our database1, Filip Petrovic authored at least 7 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Umpalumpa: a framework for efficient execution of complex image processing workloads on heterogeneous nodes.
Computing, November, 2023

Kernel Tuning Toolkit.
SoftwareX, May, 2023

Towards a Benchmarking Suite for Kernel Tuners.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Using hardware performance counters to speed up autotuning convergence on GPUs.
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
Autotuning of OpenCL Kernels with Global Optimizations.
Proceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems, 2017


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