Large-Scale Graph Processing on Emerging Storage Devices

This course aims to teach learners about large-scale graph processing on emerging storage devices. The goal is to highlight the inefficiency of prior solutions that assumed high I/O latencies and to introduce a new graph partitioning and processing framework that leverages the capabilities of modern storage devices. The course covers topics such as challenges in large-scale graph processing, fine-grained access in external graph processing, programming models, scalability issues, partitioning graph data, and performance evaluation. The teaching method includes theoretical explanations, practical examples, and experimental results. This course is intended for individuals interested in optimizing graph processing performance on modern storage devices.