Add LinearAlgebra and Printf compat entries

[christiangnrd]

Close #1101 and Close #1100

I've also cancelled CI for the PRs mentioned above to save on resources.

[github-actions]

AMDGPU.jl Benchmarks

Details

Benchmark suite	Current: e0161ac	Previous: 4f0ab1a	Ratio
amdgpu/synchronization/context/device	565 ns	562.5 ns	1.00
amdgpu/synchronization/stream/blocking	235 ns	235 ns	1
amdgpu/synchronization/stream/nonblocking	320 ns	320 ns	1
applications/bitonic_sort	1156492.5 ns	1098082.75 ns	1.05
applications/convolution	73008.5 ns	104229 ns	0.70
applications/floyd_warshall	9120157.25 ns	8878742.25 ns	1.03
applications/histogram	820457.25 ns	815134 ns	1.01
applications/prefix_sum	189648 ns	231900.75 ns	0.82
array/accumulate/Float32/1d	73898.5 ns	80493.75 ns	0.92
array/accumulate/Float32/dims=1	271761.5 ns	272491.25 ns	1.00
array/accumulate/Float32/dims=1L	81933.5 ns	88573.75 ns	0.93
array/accumulate/Float32/dims=2	74648.5 ns	81833.75 ns	0.91
array/accumulate/Float32/dims=2L	2831619.5 ns	2754656.25 ns	1.03
array/accumulate/Int64/1d	78811 ns	79688.75 ns	0.99
array/accumulate/Int64/dims=1	247923.5 ns	244706 ns	1.01
array/accumulate/Int64/dims=1L	89011.25 ns	84231.25 ns	1.06
array/accumulate/Int64/dims=2	76151 ns	86993.75 ns	0.88
array/accumulate/Int64/dims=2L	3136244 ns	3133859.25 ns	1.00
array/broadcast	75803.5 ns	71851 ns	1.06
array/construct	2030 ns	2385 ns	0.85
array/copy	31965.25 ns	38018 ns	0.84
array/copyto!/cpu_to_gpu	85848.75 ns	110996.5 ns	0.77
array/copyto!/gpu_to_cpu	85626.25 ns	111031.5 ns	0.77
array/copyto!/gpu_to_gpu	45640.5 ns	59370.75 ns	0.77
array/iteration/findall/bool	131752 ns	135379.5 ns	0.97
array/iteration/findall/int	148964.5 ns	150062.25 ns	0.99
array/iteration/findfirst/bool	154927.25 ns	152017.25 ns	1.02
array/iteration/findfirst/int	168969.75 ns	142527 ns	1.19
array/iteration/findmin/1d	104271.5 ns	106111.5 ns	0.98
array/iteration/findmin/2d	90501.25 ns	108821.5 ns	0.83
array/iteration/logical	229313.25 ns	243736 ns	0.94
array/iteration/scalar	304226.75 ns	300659.25 ns	1.01
array/permutedims/2d	71258.5 ns	71656 ns	0.99
array/permutedims/3d	69838.5 ns	71226 ns	0.98
array/permutedims/4d	72501 ns	73858.75 ns	0.98
array/random/rand/Float32	46645.5 ns	45950.75 ns	1.02
array/random/rand/Int64	56285.75 ns	54290.75 ns	1.04
array/random/rand!/Float32	57485.75 ns	65176 ns	0.88
array/random/rand!/Int64	74231.25 ns	66563.5 ns	1.12
array/random/randn/Float32	71321 ns	81206.25 ns	0.88
array/random/randn!/Float32	60188.25 ns	80368.5 ns	0.75
array/reductions/mapreduce/Float32/1d	82891.25 ns	95054 ns	0.87
array/reductions/mapreduce/Float32/dims=1	76583.5 ns	86063.75 ns	0.89
array/reductions/mapreduce/Float32/dims=1L	841604.25 ns	843989.5 ns	1.00
array/reductions/mapreduce/Float32/dims=2	75961 ns	75981 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	137349.5 ns	138774.5 ns	0.99
array/reductions/mapreduce/Int64/1d	82948.75 ns	94306.5 ns	0.88
array/reductions/mapreduce/Int64/dims=1	73763.5 ns	86678.75 ns	0.85
array/reductions/mapreduce/Int64/dims=1L	836249 ns	846329.5 ns	0.99
array/reductions/mapreduce/Int64/dims=2	76233.5 ns	81706.25 ns	0.93
array/reductions/mapreduce/Int64/dims=2L	138367 ns	140432 ns	0.99
array/reductions/reduce/Float32/1d	82808.75 ns	94821.25 ns	0.87
array/reductions/reduce/Float32/dims=1	73708.5 ns	87331.25 ns	0.84
array/reductions/reduce/Float32/dims=1L	841659.25 ns	834664.5 ns	1.01
array/reductions/reduce/Float32/dims=2	59948.25 ns	76153.5 ns	0.79
array/reductions/reduce/Float32/dims=2L	137781.75 ns	139254.5 ns	0.99
array/reductions/reduce/Int64/1d	82626.25 ns	94776.5 ns	0.87
array/reductions/reduce/Int64/dims=1	74703.75 ns	86181 ns	0.87
array/reductions/reduce/Int64/dims=1L	844651.75 ns	839047 ns	1.01
array/reductions/reduce/Int64/dims=2	75946.25 ns	83326 ns	0.91
array/reductions/reduce/Int64/dims=2L	138379.5 ns	140177 ns	0.99
array/reverse/1d	44458 ns	42600.5 ns	1.04
array/reverse/1dL	72148.5 ns	72488.5 ns	1.00
array/reverse/1dL_inplace	80298.5 ns	78666 ns	1.02
array/reverse/1d_inplace	59338.25 ns	56155.75 ns	1.06
array/reverse/2d	48740.75 ns	49858.25 ns	0.98
array/reverse/2dL	58333.5 ns	82311.25 ns	0.71
array/reverse/2dL_inplace	90676.25 ns	89706.25 ns	1.01
array/reverse/2d_inplace	62733.5 ns	61980.75 ns	1.01
array/sorting/1d	328527 ns	332449.75 ns	0.99
gemm/tiled	1925799.25 ns	1904269.25 ns	1.01
gemm/tiled_unbounded	1936901.75 ns	1909711.75 ns	1.01
integration/byval/reference	40181 ns	39271 ns	1.02
integration/byval/slices=1	41110 ns	41411 ns	0.99
integration/byval/slices=2	128962 ns	132252 ns	0.98
integration/byval/slices=3	238494 ns	238713 ns	1.00
integration/volumerhs	4879313 ns	4997480 ns	0.98
kernel/indexing	55140.75 ns	28585.25 ns	1.93
kernel/indexing_checked	46385.75 ns	57423.5 ns	0.81
kernel/launch	1247.75 ns	1255 ns	0.99
kernel/rand	70736 ns	98873.75 ns	0.72
latency/import	1451672979 ns	1700382856 ns	0.85
latency/precompile	22709357338 ns	40071892794 ns	0.57
latency/ttfp	2249203778 ns	2305806765 ns	0.98
stencil/diffusion3d	1604551.75 ns	1623510.75 ns	0.99
stencil/diffusion3d_checked	1657360 ns	1662718.75 ns	1.00

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