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[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: 4b2ba62	Previous: e13541e	Ratio
array/accumulate/Float32/1d	99660 ns	99639 ns	1.00
array/accumulate/Float32/dims=1	75240 ns	75729 ns	0.99
array/accumulate/Float32/dims=1L	1586097 ns	1586365 ns	1.00
array/accumulate/Float32/dims=2	140415 ns	141018 ns	1.00
array/accumulate/Float32/dims=2L	652370 ns	653104 ns	1.00
array/accumulate/Int64/1d	116925 ns	116680 ns	1.00
array/accumulate/Int64/dims=1	78507 ns	79215 ns	0.99
array/accumulate/Int64/dims=1L	1699083 ns	1699113 ns	1.00
array/accumulate/Int64/dims=2	150763 ns	151662 ns	0.99
array/accumulate/Int64/dims=2L	958820 ns	958865 ns	1.00
array/broadcast	18359 ns	18274 ns	1.00
array/construct	1208.8 ns	1219.9 ns	0.99
array/copy	16591 ns	16456 ns	1.01
array/copyto!/cpu_to_gpu	212464 ns	211722 ns	1.00
array/copyto!/gpu_to_cpu	276870 ns	279088 ns	0.99
array/copyto!/gpu_to_gpu	10413 ns	10311 ns	1.01
array/iteration/findall/bool	130909 ns	131360 ns	1.00
array/iteration/findall/int	145094 ns	144792 ns	1.00
array/iteration/findfirst/bool	68693 ns	69161 ns	0.99
array/iteration/findfirst/int	70567 ns	70977 ns	0.99
array/iteration/findmin/1d	65284 ns	65877 ns	0.99
array/iteration/findmin/2d	100890 ns	101534 ns	0.99
array/iteration/logical	188155 ns	189756 ns	0.99
array/iteration/scalar	65884 ns	64275 ns	1.03
array/permutedims/2d	49565 ns	49440 ns	1.00
array/permutedims/3d	50057 ns	50394 ns	0.99
array/permutedims/4d	50563 ns	50213 ns	1.01
array/random/rand/Float32	11688 ns	11532 ns	1.01
array/random/rand/Int64	22066 ns	23488 ns	0.94
array/random/rand!/Float32	7976.333333333333 ns	7911.666666666667 ns	1.01
array/random/rand!/Int64	18040 ns	20553 ns	0.88
array/random/randn/Float32	35611 ns	35800 ns	0.99
array/random/randn!/Float32	24193 ns	23702 ns	1.02
array/reductions/mapreduce/Float32/1d	33141 ns	33010 ns	1.00
array/reductions/mapreduce/Float32/dims=1	37887 ns	37873 ns	1.00
array/reductions/mapreduce/Float32/dims=1L	50336 ns	50240 ns	1.00
array/reductions/mapreduce/Float32/dims=2	55282 ns	55474 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	67046 ns	66984 ns	1.00
array/reductions/mapreduce/Int64/1d	39291 ns	39254 ns	1.00
array/reductions/mapreduce/Int64/dims=1	41085 ns	40660 ns	1.01
array/reductions/mapreduce/Int64/dims=1L	86444 ns	86434 ns	1.00
array/reductions/mapreduce/Int64/dims=2	57607 ns	57852 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	82863 ns	83169 ns	1.00
array/reductions/reduce/Float32/1d	32977 ns	33050 ns	1.00
array/reductions/reduce/Float32/dims=1	38160 ns	38122 ns	1.00
array/reductions/reduce/Float32/dims=1L	50309 ns	50362 ns	1.00
array/reductions/reduce/Float32/dims=2	55266 ns	55220 ns	1.00
array/reductions/reduce/Float32/dims=2L	67435 ns	67510 ns	1.00
array/reductions/reduce/Int64/1d	39384 ns	39443 ns	1.00
array/reductions/reduce/Int64/dims=1	40630 ns	40416 ns	1.01
array/reductions/reduce/Int64/dims=1L	86233 ns	86281 ns	1.00
array/reductions/reduce/Int64/dims=2	57597 ns	57610 ns	1.00
array/reductions/reduce/Int64/dims=2L	82676 ns	82536 ns	1.00
array/reverse/1d	16785 ns	16590 ns	1.01
array/reverse/1dL	67644 ns	67515 ns	1.00
array/reverse/1dL_inplace	65272 ns	65216 ns	1.00
array/reverse/1d_inplace	8298.333333333334 ns	8850.666666666666 ns	0.94
array/reverse/2d	19832 ns	19411 ns	1.02
array/reverse/2dL	71469 ns	71262 ns	1.00
array/reverse/2dL_inplace	64909 ns	65007 ns	1.00
array/reverse/2d_inplace	9581 ns	10398 ns	0.92
array/sorting/1d	2723951 ns	2714804 ns	1.00
array/sorting/2d	1062439 ns	1062310 ns	1.00
array/sorting/by	3254748 ns	3268184 ns	1.00
cuda/synchronization/context/auto	1142.5 ns	1134.3 ns	1.01
cuda/synchronization/context/blocking	933.1379310344828 ns	923.3333333333334 ns	1.01
cuda/synchronization/context/nonblocking	6006.6 ns	5929 ns	1.01
cuda/synchronization/stream/auto	998 ns	997.2857142857143 ns	1.00
cuda/synchronization/stream/blocking	856.5694444444445 ns	807.1684210526316 ns	1.06
cuda/synchronization/stream/nonblocking	6055.4 ns	5894.8 ns	1.03
integration/byval/reference	143262 ns	143239 ns	1.00
integration/byval/slices=1	145353 ns	145256 ns	1.00
integration/byval/slices=2	284195 ns	283668 ns	1.00
integration/byval/slices=3	422419 ns	422144 ns	1.00
integration/cudadevrt	101763 ns	101766 ns	1.00
integration/volumerhs	8879798 ns	8884780 ns	1.00
kernel/indexing	12634 ns	12552 ns	1.01
kernel/indexing_checked	13423 ns	13362 ns	1.00
kernel/launch	2154.777777777778 ns	2078.4444444444443 ns	1.04
kernel/occupancy	691.527027027027 ns	701.984962406015 ns	0.99
kernel/rand	14256 ns	14424 ns	0.99
latency/import	3869046372 ns	3859927635 ns	1.00
latency/precompile	4632083292 ns	4623280780 ns	1.00
latency/ttfp	4486859471 ns	4484391359 ns	1.00

This comment was automatically generated by workflow using github-action-benchmark.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 16.31%. Comparing base (e13541e) to head (4b2ba62).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #3156   +/-   ##
=======================================
  Coverage   16.31%   16.31%           
=======================================
  Files         124      124           
  Lines        9875     9875           
=======================================
  Hits         1611     1611           
  Misses       8264     8264           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 16.31%. Comparing base (e13541e) to head (4b2ba62).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #3156   +/-   ##
=======================================
  Coverage   16.31%   16.31%           
=======================================
  Files         124      124           
  Lines        9875     9875           
=======================================
  Hits         1611     1611           
  Misses       8264     8264           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.