Johannes Schoder

Publications

2023

• H. M. Bücker, J. Corrado, D. Fedorin, D. Garcia-Alvarez, A. Gonzalez-Escribano, J. Li, M. Pantoja, E. Pautsch, M. Plesske, M. Ponce, S. Rizzi, E. Saule, J. Schoder, G. Thiruvathukal, R. van Zon, W. Weber, D. P. Bunde : Peachy parallel assignments (EduHPC 2023). in Proceedings of the SC 2023 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W 2023), November 12-17, 2023, Denver, CO, USA, pages 366-373, New York, NY, USA, 2023. ACM. more ...

• H. M. Bücker, M. Plesske, J. Schoder, W. Wolf : Program your favorite data science pipeline in Spark. in Conference contribution at the open access repository figshare, 2023. Extended version of a programming project published in Proceedings of the 11th Workshop on Education for High-Performance Computing (EduHPC 2023), November 13, 2023, Denver, CO, USA. more ...

2022

• J. Schoder, H. M. Bücker, A. Bötticher, R. M. Karmann : MusicDress: A heterogeneous dataset for comparing music recommender systems. in P. Ceravolo, C. Guetl, Y. Jararweh, and E. Benkhelifa, editors, Proceedings of the 9th International Conference on Social Networks Analysis, Management and Security (SNAMS 2022), Milan, Italy, November 28-December 1, 2022, pages 1-4. IEEE, 2022. more ...

• H. M. Bücker, H. Casanova, R. Ferreira da Silva, A. Lasserre, D. Luyen, R. Namyst, J. Schoder, P.-A. Wacrenier, D. P. Bunde : Peachy parallel assignments (EduPar 2022). in Proceedings of the 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops (IPDPSW 2022), May 30-June 3, 2022, pages 361-368, Los Alamitos, CA, USA, 2022. IEEE Computer Society. more ...

2019

• J. Schoder : Music similarity analysis using the big data framework spark in Master thesis, Friedrich Schiller University Jena, Germany, 2019 more ...