Peachy parallel assignments (EduHPC 2023).
Peachy Parallel Assignments are model assignments for teaching parallel computing concepts. They are competitively selected for being adoptable by other instructors and ``cool and inspirational'' for students. Thus, they allow instructors to easily add high-quality assignments that will engage students to their classes. This group of Peachy assignments features six new assignments. Students completing them will use k-Nearest Neighbor for classification, cluster using k-means, implement a data science pipeline of their choice, model traffic jams, apply parallel language features to solve the heat equation, and speed up a machine learning classification system.