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 (draft)

 @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},
}