- Add methods to select random nodes in the graph
- Add statistical analysis of values
- Add single edge access benchmark
Details
Details
Diff Detail
Diff Detail
- Repository
- rDGRPH Compressed graph representation
- Branch
- benchmark-stats
- Lint
No Linters Available - Unit
No Unit Test Coverage - Build Status
Buildable 7198 Build 10160: arc lint + arc unit
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I rebooted the azure VM and did the benchmark, here is the result for 1M edges:
Command being timed: "java -Xmx220G -Xss10M -server -XX:PretenureSizeThreshold=512M -XX:MaxNewSize=4G -XX:+UseLargePages -XX:+UseTransparentHugePages -XX:+UseNUMA -XX:+UseTLAB -XX:+Re sizeTLAB -cp swh-graph-0.0.1.jar org.softwareheritage.graph.benchmark.AccessEdge graph/compressed/all" User time (seconds): 316.50 System time (seconds): 97.80 Percent of CPU this job got: 16% Elapsed (wall clock) time (h:mm:ss or m:ss): 41:58.50 Average shared text size (kbytes): 0 Average unshared data size (kbytes): 0 Average stack size (kbytes): 0 Average total size (kbytes): 0 Maximum resident set size (kbytes): 124274776 Average resident set size (kbytes): 0 Major (requiring I/O) page faults: 151 Minor (reclaiming a frame) page faults: 314267 Voluntary context switches: 902158 Involuntary context switches: 5357 Swaps: 0 File system inputs: 223611496 File system outputs: 2376 Socket messages sent: 0 Socket messages received: 0 Signals delivered: 0 Page size (bytes): 4096 Exit status: 0 Used 1000000 random edges (results are in seconds): min value: 2.0000000233721948E-7 max value: 0.001727816998027265 average: 1.0490578032659385E-6 standard deviation: 3.779805627909352E-6