Adam Šmelko

Ph.D. student

Department of Distributed and Dependable Systems
Faculty of Mathematics and Physics
Charles University

Malostranské náměstí 25
118 00 Praha 1
Czech Republic

E-mail: smelko@d3s.mff.cuni.cz

About me

Originating from the eastern region of Slovakia, my academic journey in Software Engineering started with a Bachelor’s and Master’s degree at Charles University. It was during this period that I developed a keen interest in High-Performance Computing (HPC) and the C++ programming language. Currently, I am advancing my education by working towards a Ph.D., with a focus on General-Purpose computing on Graphics Processing Units (GPGPU), particularly utilizing CUDA-enabled cards. I am eager to mentor students through thesis supervision and software projects, sharing my expertise and fostering a collaborative environment for those who share similar interests.

Topics of interest:

• High performance computing (CUDA, vector processors, MPI)
• C++ programming language (modern language features, compilers, debuggers)

Teaching:

• NPRG041 — C++ Language practicals

Resources

• Curriculum Vitae
• Dissertation

Publications

 @inproceedings{klepl_pure_2024,
    title = {{Pure C++ Approach to Optimized Parallel Traversal of Regular Data Structures}},
    author = {Klepl, Jiří and Šmelko, Adam and Rozsypal, Lukáš and Kruliš, Martin},
    year = {2024},
    booktitle = {{Proceedings of the 15th International Workshop on Programming Models and Applications for Multicores and Manycores}},
    doi = {10.1145/3649169.3649247},
    pages = {42--51},
}
 

 @inproceedings{smelko_astute_2022,
    title = {{Astute Approach to Handling Memory Layouts of Regular Data Structures}},
    author = {Šmelko, Adam and Kruliš, Martin and Kratochvíl, Miroslav and Klepl, Jiří and Mayer, Jiří and Šimůnek, Petr},
    year = {2022},
    booktitle = {{International Conference on Algorithms and Architectures for Parallel Processing}},
    publisher = {Springer},
    doi = {10.1007/978-3-031-22677-9_27},
    pages = {507--528},
}
 

 @inproceedings{smelko_gpuaccelerated_2021,
    title = {{GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis}},
    author = {Šmelko, Adam and Kratochvíl, Miroslav and Kruliš, Martin and Sieger, Tomáš},
    year = {2021},
    booktitle = {{Euro-Par 2021: Parallel Processing}},
    editor = {Sousa, Leonel and Roma, Nuno and Tomás, Pedro},
    publisher = {Springer International Publishing},
    series = {{Lecture Notes in Computer Science}},
    location = {Cham},
    doi = {10.1007/978-3-030-85665-6_36},
    isbn = {978-3-030-85665-6},
    pages = {580--595},
}
 

 @inproceedings{smelko_gpuacceleration_2024,
    title = {{GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM}},
    author = {Šmelko, Adam and Kruliš, Martin and Klepl, Jiří},
    year = {2024},
    booktitle = {{16th Workshop on General Purpose Processing Using GPU}},
    publisher = {Association for Computing Machinery},
    doi = {10.1145/3649411.3649414},
    pages = {13--18},
}
 

 @article{smelko_maboss_2024,
    title = {{Maboss for HPC environments: implementations of the continuous time Boolean model simulator for large CPU clusters and GPU accelerators}},
    author = {Šmelko, Adam and Kratochvíl, Miroslav and Barillot, Emmanuel and Noël, Vincent},
    year = {2024},
    journal = {{BMC bioinformatics}},
    doi = {10.1186/s12859-024-05815-5},
    volume = {25},
}