Peachy Parallel Assignments (EduPar 2022). - H. Martin Bücker; Henri Casanova; Rafael Ferreira da Silva; Alice Lasserre; Derrick Luyen; Raymond Namyst; Johannes Schoder; Pierre-André Wacrenier; David P. Bunde (IPDPS Workshops, 2022)

MusicDress: A Heterogeneous Dataset for Comparing Music Recommender Systems. - Johannes Schoder; H. Martin Bücker; André Bötticher; Ronja M. Karmann (SNAMS, 2022)

Peachy Parallel Assignments (EduHPC 2023). - H. Martin Bücker; Jeremiah Corrado; Daniel Fedorin; Diego García-Álvarez; Arturo González-Escribano; John Li; Maria Pantoja; Erik Pautsch; Marieke Plesske; Marcelo Ponce; Silvio Rizzi 001; Erik Saule; et al. (SC Workshops, 2023)

Scaling an Augmented RISC-V Processor Design with High-Level Synthesis. - Johannes Schoder; H. Martin Bücker (ISC Workshops, 2024)

Peachy Parallel Assignments (EduPar 2025). - H. Martin Bücker; Johannes Schoder; Xiaoyuan Suo; David P. Bunde (IPDPS (Workshops), 2025)

Exploring data science workflows: A practice-oriented approach to teaching processing of massive datasets. - Johannes Schoder; H. Martin Bücker (J. Parallel Distributed Comput., 2025)