Simplify sparse type mappings

[kshyatt]

Needs JuliaGPU/GPUArrays.jl#700 first

cc @gdalle

[github-actions]

CUDA.jl Benchmarks

Details

Benchmark suite	Current: 35efee6	Previous: a9a687c	Ratio
array/accumulate/Float32/1d	101257 ns	102250.5 ns	0.99
array/accumulate/Float32/dims=1	76950 ns	77483 ns	0.99
array/accumulate/Float32/dims=1L	1583804 ns	1593535 ns	0.99
array/accumulate/Float32/dims=2	143805.5 ns	144723 ns	0.99
array/accumulate/Float32/dims=2L	657210 ns	661407 ns	0.99
array/accumulate/Int64/1d	118672 ns	120091 ns	0.99
array/accumulate/Int64/dims=1	80367 ns	81265.5 ns	0.99
array/accumulate/Int64/dims=1L	1694731 ns	1707476 ns	0.99
array/accumulate/Int64/dims=2	155985 ns	158147 ns	0.99
array/accumulate/Int64/dims=2L	961924 ns	962833.5 ns	1.00
array/broadcast	20770 ns	20861 ns	1.00
array/construct	1388.2 ns	1305.3 ns	1.06
array/copy	18725 ns	18977 ns	0.99
array/copyto!/cpu_to_gpu	218074 ns	218984.5 ns	1.00
array/copyto!/gpu_to_cpu	283862 ns	288110 ns	0.99
array/copyto!/gpu_to_gpu	11475 ns	11568 ns	0.99
array/iteration/findall/bool	132338.5 ns	133871.5 ns	0.99
array/iteration/findall/int	149890 ns	150576 ns	1.00
array/iteration/findfirst/bool	81470.5 ns	82372 ns	0.99
array/iteration/findfirst/int	83673 ns	84621.5 ns	0.99
array/iteration/findmin/1d	89238 ns	85921.5 ns	1.04
array/iteration/findmin/2d	117077 ns	117665 ns	1.00
array/iteration/logical	198877 ns	204118.5 ns	0.97
array/iteration/scalar	68356 ns	69670.5 ns	0.98
array/permutedims/2d	52308 ns	53206.5 ns	0.98
array/permutedims/3d	52757.5 ns	53542.5 ns	0.99
array/permutedims/4d	52335 ns	52933.5 ns	0.99
array/random/rand/Float32	13095 ns	13218 ns	0.99
array/random/rand/Int64	37392 ns	34787 ns	1.07
array/random/rand!/Float32	8582.333333333334 ns	8525.333333333334 ns	1.01
array/random/rand!/Int64	34425 ns	34352 ns	1.00
array/random/randn/Float32	43847 ns	38965 ns	1.13
array/random/randn!/Float32	31665 ns	31554 ns	1.00
array/reductions/mapreduce/Float32/1d	35002 ns	35525 ns	0.99
array/reductions/mapreduce/Float32/dims=1	40238 ns	40453.5 ns	0.99
array/reductions/mapreduce/Float32/dims=1L	51798 ns	52015 ns	1.00
array/reductions/mapreduce/Float32/dims=2	56726 ns	56943 ns	1.00
array/reductions/mapreduce/Float32/dims=2L	69040 ns	69861 ns	0.99
array/reductions/mapreduce/Int64/1d	43445 ns	43677 ns	0.99
array/reductions/mapreduce/Int64/dims=1	44863 ns	42176 ns	1.06
array/reductions/mapreduce/Int64/dims=1L	87853 ns	87856 ns	1.00
array/reductions/mapreduce/Int64/dims=2	59601 ns	59673 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	85042.5 ns	84933 ns	1.00
array/reductions/reduce/Float32/1d	34990 ns	35822.5 ns	0.98
array/reductions/reduce/Float32/dims=1	44183 ns	42636 ns	1.04
array/reductions/reduce/Float32/dims=1L	51921.5 ns	51953 ns	1.00
array/reductions/reduce/Float32/dims=2	56857 ns	57183 ns	0.99
array/reductions/reduce/Float32/dims=2L	69514 ns	69983 ns	0.99
array/reductions/reduce/Int64/1d	43111 ns	43946 ns	0.98
array/reductions/reduce/Int64/dims=1	44815.5 ns	52864 ns	0.85
array/reductions/reduce/Int64/dims=1L	87592 ns	88045 ns	0.99
array/reductions/reduce/Int64/dims=2	59547 ns	59735 ns	1.00
array/reductions/reduce/Int64/dims=2L	84652 ns	84891 ns	1.00
array/reverse/1d	18693 ns	18427 ns	1.01
array/reverse/1dL	69235 ns	68976.5 ns	1.00
array/reverse/1dL_inplace	66105 ns	66026 ns	1.00
array/reverse/1d_inplace	8618 ns	10297.333333333334 ns	0.84
array/reverse/2d	20891 ns	20813 ns	1.00
array/reverse/2dL	72885 ns	72948 ns	1.00
array/reverse/2dL_inplace	66111 ns	66137 ns	1.00
array/reverse/2d_inplace	10379 ns	11426 ns	0.91
array/sorting/1d	2735855 ns	2736028 ns	1.00
array/sorting/2d	1068748 ns	1076314.5 ns	0.99
array/sorting/by	3304911.5 ns	3305633 ns	1.00
cuda/synchronization/context/auto	1197.6 ns	1177.1 ns	1.02
cuda/synchronization/context/blocking	937.9428571428572 ns	930.1428571428571 ns	1.01
cuda/synchronization/context/nonblocking	8403.2 ns	7222.2 ns	1.16
cuda/synchronization/stream/auto	1037.9 ns	1023.8235294117648 ns	1.01
cuda/synchronization/stream/blocking	788.2277227722773 ns	829.5588235294117 ns	0.95
cuda/synchronization/stream/nonblocking	7547.1 ns	7804.5 ns	0.97
integration/byval/reference	144068 ns	144003 ns	1.00
integration/byval/slices=1	145857 ns	145940 ns	1.00
integration/byval/slices=2	284769 ns	284688 ns	1.00
integration/byval/slices=3	423136.5 ns	423167.5 ns	1.00
integration/cudadevrt	102708 ns	102604 ns	1.00
integration/volumerhs	9430527 ns	9452453.5 ns	1.00
kernel/indexing	13544.5 ns	13481 ns	1.00
kernel/indexing_checked	14227 ns	14205 ns	1.00
kernel/launch	2210.5555555555557 ns	2129 ns	1.04
kernel/occupancy	663.6863354037267 ns	660.2115384615385 ns	1.01
kernel/rand	14679 ns	18430 ns	0.80
latency/import	3805555922 ns	3804590639.5 ns	1.00
latency/precompile	4587970948 ns	4586818051.5 ns	1.00
latency/ttfp	4385584841.5 ns	4387745362.5 ns	1.00

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