Parallel Graph Analysis, Fall 2016
Class Info   |   Assignments   |   Lecture Notes   |   Project Info

Class Info

Syllabus
Meeting times: Monday and Thursday, 16:00-17:50 in 235 Darrin
No Class: September 5; October 10/11; November 14, 17, 24

Course Instructor:
Prof. George M. Slota
slotag@rpi.edu
Office Hours: Tuesday and Wednesday, 14:00-16:00 in 317 Lally

Class Info


Class Resources:
TextsPapersDatasets
Networks, Crowds, and Markets - Easly, Kleinburg
Network Science - Barabasi
Mining of Massive Datasets - Leskovec, Rajaraman, Ullman 		Thinking Like a Vertex Standford Large Network Dataset Collection
UF Sparse Matrix Collection
Koblenz Network Collection
Laboratory for Web Algorithmics
Mark Newman's Collection
DIMACS Challenge Graphs

Assignments

All assignments are due (emailed to slotag@rpi.edu) before class on the scheduled date!

TopicDue DateAssignmentFilesSolution
Assignment 1: Introduction to Parallel Graph Analysis Monday 19 Sept. 2016 Assignment 1 Code Graph 1 Graph 2 Form 1 Form 2 Solution
Assignment 2: Web Graph Analysis Thursday 29 Sept. 2016 Assignment 2 Code 1 Code 2 Graph 1 Graph 2 Graph 3 Graph 4 Graph 5 SCC PR
Assignment 3: Social Graph Analysis Monday 17 Oct. 2016 Assignment 3 Code Social Graph Test Graph Solution
Assignment 4: Running on CCI Clusters Thursday 10 Nov. 2016 Assignment 4 Tarball Solution
Assignment 5: Triangle Counting Monday 21 Nov. 2016 Assignment 5 Tarball Solution
Assignment 6: Processing Models and Frameworks Thursday 8 Dec. 2016 Assignment 6 Solution

Lecture Notes and Readings

Note: Class schedule subject to change.

WeekClass DateTopicReadingsSlides and CodeOther resources
1 29 Aug Lecture 1: Syllabus and Course Overview Syllabus Lecture 1 Intro to network analysis   |   More intro   |   Even more intro   |   Network Theory
1 Sept Lecture 2: Parallel Graph Analytics and OpenMP 2.1-2.4 Lecture 2   |   Code   |   Final Code   |   Test Data Processing Models   |   Graph Representation   |   OpenMP Tutorial   |   OpenMP Site
2 5 Sept Labor Day: No class
8 Sept Lecture 3: Introduction to MPI Lecture 3   |   Code   |   Final Code   |   Test Data MPI Overview   |   Livermore MPI Tutorial   |   MPI Tutorials
3 12 Sept Lecture 4: Web Graph - Structure and PageRank Ch. 13-14   |   Paper 1   |   Paper 2 Lecture 4   |   Code   |   Final Code   |   Test Data Pagerank   |   More PageRank   |   MPI slides
15 Sept Lecture 5: Parallel SCC and Centrality Lecture 5   |   Code   |   Final Code   |   Test Data Centrality   |   Alltoallv
4 19 Sept Lecture 6: Social Networks Topics Sections 3.1-3.5, Ch. 4 Lecture 6 Triangle Counting
22 Sept Lecture 7: Community Detection and Clustering Sections 3.1-3.5, Ch. 4   |   Ch. 9 Lecture 7   |   Code   |   Final Code   |   Test Graph   |   Data 1   |   Data 2 Comm 1   |   Comm 2   |   Modularity
5 26 Sept Lecture 8: Graph Partitioning Lecture 8   |   Code   |   Final Code   |   METIS   |   Test Graph   |   METIS Graph   |   METIS-M Graph   |   Part File 1   |   Part File 2   |   Part File 3   |   Part File 4 Partitioning Overview   |   Overview 2   |   FENNEL
29 Sept Lecture 9: Bio Network Topics D-O BFS Lecture 9 Motifs 1   |   Motifs 2   |   Alignment 1   |   Alignment 2   |   Min-weight   |   BFS
6 3 Oct Lecture 10: Random Networks Lecture 10   |   Code   |   Final Code   |   Data Random Networks   |   Random 2   |   R-MAT
6 Oct Lecture 11: Project Presentations 1
7 11 Oct No class
13 Oct Lecture 12: Random Networks 2 Lecture 12   |   Code   |   Final Code   |   More Data
8 17 Oct Lecture 13: Distributed Graph Processing Lecture 13   |   Code   |   Final Code   |   Graph 1   |   Graph 2
20 Oct Lecture 14: Distributed Graph Proc 2 Lecture 14   |   Code   |   Final Code
9 24 Oct Lecture 15: Distributed Graph Proc 3 Lecture 15   |   Code   |   Final Code   |   Graph 1   |   Part 1   |   Part 2   |   Part 3   |   Part 4   |   Graph 2   |   Part 1   |   Part 2   |   Part 3   |   Part 4
27 Oct Lecture 16: Graph Vertex Re-ordering Lecture 16   |   Code   |   Final Code
10 31 Oct Lecture 17: Graph Compression Lecture 17   |   Code   |   Compression Library WebGraph Framework
3 Nov Lecture 18: Proj Pres 2/Graph Compression 2 Lec 17-18 Final Code   |   PA-road
11 7 Nov Lecture 19: Graph Sampling and Sparsification Lecture 19   |   Code   |   Final Code Sampling Social Networks   |   Community Detection via Sampling   |   Spectral Sparsification
10 Nov Lecture 20: Sampling 2 Lecture 20   |   Code   |   Final Code Random Walks
12 14 Nov No class
17 Nov No class
13 21 Nov Lecture 21: Temporal Networks Lecture 21   |   Code   |   Final Code Dynamic Networks   |   Temporal Graphs
24 Nov Thanksgiving: No class
14 28 Nov Lecture 22: Graphs as Matrices Lecture 22   |   Code   |   Final Code GABB 14   |   Graph BLAS   |   CombBLAS   |   Graph Analytics in GraphBLAS
1 Dec Lecture 23: Graphs on Manycores Lecture 23   |   Code   |   Final Code GPUs   |   Xeon Phis
14 5 Dec: Graph Frameworks Lecture 24 Lecture 24   |   Code   |   Final Code Pregel Slides   |   Giraph   |   Giraph Slides   |   GraphLab Slides   |   PowerGraph Slides   |   2D partitioning slides
8 Dec Final Presentations

Project Info


Important Dates:
ItemDue DateDescription
Project Proposal Thursday 22 Sept. 2016, 16:00 See Lecture 3 slides pages 6 and 7
Progress Presentation 1 Thursday 6 Oct. 2016
Progress Presentation 2 Thursday 3 Nov. 2016
Final Presentation Thursday 8 Dec. 2016
Final Report Sunday 11 Dec. 2016, 23:59