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Software requirement

gcc 4.4.7 or 4.8.5

CUDA 5.5, 6.0, 6.5, 7.0, 7.5 (tested and works)

Hardware

GPU: C2050, C2070, K20, K40 (tested)

Compile

make

Execute

Type: "./enterprise.bin" it will show you what is needed.

Tips: It needs a CSR formated graph (beg file and csr file).

You could use the code from "tuple_text_to_bin.binary_csr" folder to convert a edge list (text formated) graph into CSR files (binary), e.g., if you have a text file called "test.txt", it will convert it into "test.txt_beg_pos.bin" and "test.txt_csr.bin". You will need these two files to run enterprise.

Converter: edge tuples to CSR

  • Compile: make
  • To execute: type "./text_to_bin.bin", it will show you what is needed
  • Basically, you could download a tuple list file from snap. Afterwards, you could use this converter to convert the edge list into CSR format.

For example:

  • Download https://snap.stanford.edu/data/com-Orkut.html file. unzip it.
  • ./text_to_bin.bin soc-orkut.mtx 1 2(could change, depends on the number of lines are not edges)
  • You will get soc-orkut.mtx_beg_pos.bin and soc-orkut.mtx_csr.bin.
  • You could use these two files to run enterprise.

Code specification

The overall code structure of this project is:

  • main.cu: main function.

  • graph.hpp,graph.h: read the csr format graph file.

  • allocator.cuh: alloc GPU memory and copy the graph from CPU to GPU.

  • bfs_gpu_opt.cuh: run enterprise BFS.

  • expander.cuh: explore the neighbors of each frontier and mark next level frontiers in status array, leverages hub vertex cache and workload balancing as well.

  • inspector.cuh: scan status array to generate frontier queue, also prepare next level hub vertex for caching.

  • scan.cuh: compute offsets of different thread bins in order to put them in global frontier queue in parallel.

  • write_result.cuh: write result out for validation.

  • validate.h: graph500 alike validate process.

  • wtime.h: timing.

  • comm.h: common headers or preprocessors shared by all files.

  • gather.h: copy results from GPU to CPU.

Should you have any questions about this project, please contact us by [email protected].

Reference

[SC '15] Enterprise: Breadth-First Graph Traversal on GPUs [PDF] [Slides] [Blog]

[SIGMOD '16] iBFS: Concurrent Breadth-First Search on GPUs [PDF] [Slides] [Poster]