Cleaning up data structures that are not used after a certain point. This further brings down peak memory usage by 15% for a large benchmark.
Before:
note: Before parsePerfTraces note: VM: 40.73 GB RSS: 39.18 GB note: Before parseAndAggregateTrace note: VM: 40.73 GB RSS: 39.18 GB note: After parseAndAggregateTrace note: VM: 88.93 GB RSS: 87.97 GB note: Before generateUnsymbolizedProfile note: VM: 88.95 GB RSS: 87.99 GB note: After generateUnsymbolizedProfile note: VM: 93.50 GB RSS: 92.53 GB note: After computeSizeForProfiledFunctions note: VM: 101.13 GB RSS: 99.36 GB note: After generateProbeBasedProfile note: VM: 215.61 GB RSS: 210.88 GB note: After postProcessProfiles note: VM: 237.48 GB RSS: 212.50 GB
After:
note: Before parsePerfTraces note: VM: 40.73 GB RSS: 39.18 GB note: Before parseAndAggregateTrace note: VM: 40.73 GB RSS: 39.18 GB note: After parseAndAggregateTrace note: VM: 88.93 GB RSS: 87.96 GB note: Before generateUnsymbolizedProfile note: VM: 88.95 GB RSS: 87.97 GB note: After generateUnsymbolizedProfile note: VM: 93.50 GB RSS: 92.51 GB note: After computeSizeForProfiledFunctions note: VM: 93.50 GB RSS: 92.53 GB note: After generateProbeBasedProfile note: VM: 164.87 GB RSS: 163.55 GB note: After postProcessProfiles note: VM: 182.28 GB RSS: 179.43 GB
nit: using a lexical scope for this purpose might be better.