This repository contains work towards creating a comprehensive cross-platform graph processing benchmark for Community Detection and Subgraph Isomorphism problems. The repository is NOT YET COMPLETE and should not be used outside of a preliminary development perspective.
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Create custom Github Page to use as website for the Benchmark suite #6
Create custom Github Page to use as website for the Benchmark suite.
CURRENT DIRECTORY STRUCTURE:
As you can see, it’s a bit of a mess. We have a bunch of random bits and pieces in there and aren’t consistent between subdirectories. Just needs a bit of a tidy up.
his is just indicative, I don’t mind exactly how we get there as long as we’re consistent. If anyone knows a better way I’m very open to you going ahead with it and letting us all know what you come up with.
Create custom Github Page to use as website for the Benchmark suite. CURRENT DIRECTORY STRUCTURE:
As you can see, it’s a bit of a mess. We have a bunch of random bits and pieces in there and aren’t consistent between subdirectories. Just needs a bit of a tidy up.
├── Code │ ├── Data_Analysis │ ├── Dataset_Creation │ │ └── Morein │ ├── Experiment_Framework │ ├── Graph_Problems │ │ ├── BFS │ │ │ ├── Nandini Ramachandran │ │ │ │ ├── bfs │ │ │ │ ├── bfs_parallel │ │ │ │ ├── bfs_parallel_v2 │ │ │ │ └── bfs_v2 │ │ │ ├── kent │ │ │ │ ├── bfs │ │ │ │ ├── chatGPT_generated │ │ │ │ └── helloworld │ │ │ └── morein │ │ │ └── BFS │ │ ├── CommunityDetection │ │ │ └── Louvian │ │ │ ├── Parallel │ │ │ └── Sequential │ │ └── GraphMatching │ │ ├── Parallel │ │ │ ├── CPU │ │ │ └── GPU │ │ ├── Sequential │ │ │ ├── CPU │ │ │ └── GPU │ │ ├── gunrock │ │ │ ├── cmake │ │ │ ├── dataset │ │ │ ├── docker │ │ │ ├── doxygen │ │ │ ├── examples │ │ │ ├── externals │ │ │ ├── gunrock │ │ │ ├── python │ │ │ ├── scripts │ │ │ ├── tools │ │ │ └── unittests │ │ └── vf3lib │ │ ├── bin │ │ ├── include │ │ └── test │ ├── Telemetry │ └── Utilities │ ├── c-utils │ │ ├── src │ │ └── tests │ │ └── tmp │ ├── dataLoader │ │ └── files_for_tests │ └── sets │ ├── src │ └── tests ── Data │ ├── bfs │ │ ├── figures │ │ └── toy │ ├── community_detection │ └── subgraph_matching │ └── newSIPbenchmarks │ ├── LV │ ├── biochemicalReactions │ ├── images-CVIU11 │ ├── images-PR15 │ ├── meshes-CVIU11 │ ├── phase │ ├── scalefree │ └── si ├── Papers │ ├── ARLIS_FR_MN │ │ └── Figures │ ├── ARLIS_MPR_MN │ │ └── Figures │ ├── Poster │ │ └── figures │ ├── Presentations │ │ ├── week1_brief │ │ │ └── Figures │ │ └── week3_brief │ │ ├── Demo │ │ ├── Figures │ │ ├── Scripts │ │ └── Sections │ ├── Scripts │ │ └── style-check │ ├── Templates │ │ └── ARLIS_MPR_Template │ │ └── Figures │ ├── bibliography │ │ └── reference_papers │ ├── graphBenchmarking │ │ ├── Scripts │ │ │ └── style-check │ │ └── style │ └── style ├── hive_env │ ├── bin │ ├── include │ │ └── python3.11 │ ├── lib │ │ └── python3.11 │ │ └── site-packages │ └── share │ └── doc │ └── networkx-3.1 └── systemConfig
his is just indicative, I don’t mind exactly how we get there as long as we’re consistent. If anyone knows a better way I’m very open to you going ahead with it and letting us all know what you come up with.