Peachy Parallel Assignments (EduHPC 2023).
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis(2023)
摘要
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.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要