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Practicably Boosting the Processing Performance of BFS-like Algorithms on Semi-External Graph System via I-O-Efficient Graph Ordering

USENIX via YouTube

Overview

This course aims to enhance the processing performance of BFS-like algorithms on semi-external graph systems through I/O-Efficient Graph Ordering. The learning outcomes include understanding the challenges faced by BFS-like algorithms on external graph systems, learning about the IOE-Order technique for improving I/O efficiency, and evaluating the effectiveness of this approach. The course teaches skills such as Breadth-First Degree-Second (BFDS) Ordering and Out-Degree Binning for optimizing graph data processing. The teaching method involves presenting research findings and techniques for improving the performance of BFS-like algorithms on external graph systems. The intended audience for this course includes researchers, practitioners, and students interested in graph processing, algorithm optimization, and I/O efficiency in large-scale graph systems.

Syllabus

Intro
Semi-External Graph System
BFS-like Algorithms on Semi-External System
Existing Work for Optimizing BFS-like Algorithms
I/O Efficiency
Motivation
1/O-Efficient Graph Ordering (IOE-Order)
Out-Degree Binning (Conti.)
Evaluation Setup
Overall Comparison
Pre-processing Overhead
Non-BFS Evaluation
Conclusion

Taught by

USENIX

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