AAAAgito / vsgm_sc22

VSGM

VSGM: View-Based GPU-Accelerated Subgraph Matching on Large Graphs

Dependencies

1. nvidia/cuda:11.3.0
2. g++ - 7

Submodule

$ git submodule init
$ git submodule update

Build

$ cd lib/bliss-0.73/bliss && make
$ cd src/preprocess && make -j
$ cd src/tools && make -j
$ cd src/app && make -j

Change Data Format

$ mkdir test
$ cd test
$ wget https://snap.stanford.edu/data/bigdata/communities/com-friendster.ungraph.txt.gz
$ gunzip com-friendster.ungraph.txt.gz
$ ../src/preprocess/preprocess -f com-friendster.ungraph.txt -d 0 -o 1  # build csr binary

K-Means Clustering

$ cd test
$ ../src/tools/features -f com-friendster.ungraph.txt.bin -h 1
$ ../src/tools/kmeans -f com-friendster.ungraph.txt.bin.1hop.bin -i 10 -t 32 -k 4 -init 0 -rc 1  # i: iterations, t: threads, k: cluster num, init: 0 - kmeans++, 1 - random, rc: enable reorder cluster

View Bin Packing

$ cd test
$ cp com-friendster.ungraph.txt.bin.kmeans.4 com-friendster.ungraph.txt.bin.kmeans.1x4
$ ../src/tools/view_packing -gf com-friendster.ungraph.txt.bin -pf com-friendster.ungraph.txt.bin.kmeans.1x4 -h 2 -m 10 -t 1 -s 1 -d 1  # for 2 hop
$ ../src/tools/view_packing -gf com-friendster.ungraph.txt.bin -pf com-friendster.ungraph.txt.bin.kmeans.1x4 -h 3 -m 10 -t 1 -s 1 -d 1  # for 3 hop

Run Subgraph Matching

$ cd test
$ ../src/app/pm_pipeline -f com-friendster.ungraph.txt.bin -t 32 -m 10 -dm 1 -qs 3 -pn 1 -cn 1 -kc 3  # triangle counting
$ ../src/app/pm_pipeline -f com-friendster.ungraph.txt.bin -t 32 -m 10 -dm 1 -qs 3 -pn 1 -cn 1 -p 2  # pattern 2

Acknowledgements

1. GPU-Accelerated Subgraph Enumeration on Partitioned Graphs. SIGMOD 2020.
2. Bliss Library
3. ModernGPU Library
4. MPMCQueue Library