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Improve scheduling performance by ~30% to 1300/pods per second for a sample benchmark consisting of 2500 pods against 400 instance types. Before: scheduled 7610 against 24 nodes in total in 7.609408056s 1000.0777910706909 pods/sec 400 instances 10 pods 1 nodes 14.241995ms per scheduling 1.424199ms per pod 400 instances 100 pods 1 nodes 125.097021ms per scheduling 1.25097ms per pod 400 instances 500 pods 2 nodes 442.08217ms per scheduling 884.164µs per pod 400 instances 1000 pods 3 nodes 826.467467ms per scheduling 826.467µs per pod 400 instances 1500 pods 4 nodes 1.234402934s per scheduling 822.935µs per pod 400 instances 2000 pods 6 nodes 1.670170962s per scheduling 835.085µs per pod 400 instances 2500 pods 7 nodes 2.301283317s per scheduling 920.513µs per pod After: scheduled 7610 against 24 nodes in total in 5.659754728s 1344.5812346516934 pods/sec 400 instances 10 pods 1 nodes 9.699477ms per scheduling 969.947µs per pod 400 instances 100 pods 1 nodes 81.907ms per scheduling 819.07µs per pod 400 instances 500 pods 2 nodes 283.424001ms per scheduling 566.848µs per pod 400 instances 1000 pods 3 nodes 564.304529ms per scheduling 564.304µs per pod 400 instances 1500 pods 4 nodes 854.86969ms per scheduling 569.913µs per pod 400 instances 2000 pods 6 nodes 1.166997512s per scheduling 583.498µs per pod 400 instances 2500 pods 7 nodes 1.571064146s per scheduling 628.425µs per pod
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