CUDA.jl Improve launch latency

Improve launch latency

Open cibinjoseph opened this issue 6 months ago • 4 comments

For a fairly simple minimal working example shown below, I see a considerably large delay between the HtoD memcopy and the kernel launch. The times reported by Nsight systems are:

HtoD memcopy: ~3 μs
Delay to kernel launch: ~157 μs
Kernel: ~18 μs
DtoH memcopy: ~3 μs

On further inspection of cufunction() in src/compiler/execution.jl using NVTX annotations, it seems like the calls to methodinstance and cached_compilation take more time than expected.

Reference discussion in the Julia discourse here.

MWE

using CUDA
using Random

@inline function kernel!(a)
    i = threadIdx().x + blockDim().x*(blockIdx().x-1)
    a[i] = CUDA.cos(a[i]) + i^0.6 + CUDA.tan(a[i])
    return
end

function main()
    n = 2^12
    a = rand(n)
    
    threads = 256
    blocks = cld(n, threads)
    a_d = CuArray(a)
    @cuda threads=threads blocks=blocks kernel!(a_d)
    a = Array(a_d)

    return
end

main()
CUDA.@profile main()

Expected behavior I expect the delay between memcopy and kernel launch to be around two orders of magnitude lower.

Project.toml

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Manifest.toml

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git-tree-sha1 = "eeafab08ae20c62c44c8399ccb9354a04b80db50"
uuid = "90137ffa-7385-5640-81b9-e52037218182"
version = "1.9.7"

    [deps.StaticArrays.extensions]
    StaticArraysChainRulesCoreExt = "ChainRulesCore"
    StaticArraysStatisticsExt = "Statistics"

    [deps.StaticArrays.weakdeps]
    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
    Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

[[deps.StaticArraysCore]]
git-tree-sha1 = "192954ef1208c7019899fbf8049e717f92959682"
uuid = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
version = "1.4.3"

[[deps.Statistics]]
deps = ["LinearAlgebra", "SparseArrays"]
uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
version = "1.10.0"

[[deps.StringManipulation]]
deps = ["PrecompileTools"]
git-tree-sha1 = "a04cabe79c5f01f4d723cc6704070ada0b9d46d5"
uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e"
version = "0.3.4"

[[deps.SuiteSparse_jll]]
deps = ["Artifacts", "Libdl", "libblastrampoline_jll"]
uuid = "bea87d4a-7f5b-5778-9afe-8cc45184846c"
version = "7.2.1+1"

[[deps.TOML]]
deps = ["Dates"]
uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"
version = "1.0.3"

[[deps.TableTraits]]
deps = ["IteratorInterfaceExtensions"]
git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39"
uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c"
version = "1.0.1"

[[deps.Tables]]
deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "OrderedCollections", "TableTraits"]
git-tree-sha1 = "598cd7c1f68d1e205689b1c2fe65a9f85846f297"
uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
version = "1.12.0"

[[deps.Tar]]
deps = ["ArgTools", "SHA"]
uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
version = "1.10.0"

[[deps.Test]]
deps = ["InteractiveUtils", "Logging", "Random", "Serialization"]
uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[[deps.TimerOutputs]]
deps = ["ExprTools", "Printf"]
git-tree-sha1 = "5a13ae8a41237cff5ecf34f73eb1b8f42fff6531"
uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
version = "0.5.24"

[[deps.UUIDs]]
deps = ["Random", "SHA"]
uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

[[deps.Unicode]]
uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"

[[deps.UnsafeAtomics]]
git-tree-sha1 = "6331ac3440856ea1988316b46045303bef658278"
uuid = "013be700-e6cd-48c3-b4a1-df204f14c38f"
version = "0.2.1"

[[deps.UnsafeAtomicsLLVM]]
deps = ["LLVM", "UnsafeAtomics"]
git-tree-sha1 = "bf2c553f25e954a9b38c9c0593a59bb13113f9e5"
uuid = "d80eeb9a-aca5-4d75-85e5-170c8b632249"
version = "0.1.5"

[[deps.Zlib_jll]]
deps = ["Libdl"]
uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
version = "1.2.13+1"

[[deps.libblastrampoline_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"
version = "5.8.0+1"

[[deps.nghttp2_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
version = "1.52.0+1"

[[deps.p7zip_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
version = "17.4.0+2"

Version info

Details on Julia:

julia> versioninfo()
Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 72 × Intel(R) Xeon(R) CPU E5-2699 v3 @ 2.30GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 72 virtual cores)

Details on CUDA:

julia> CUDA.versioninfo()
CUDA runtime 12.5, artifact installation
CUDA driver 12.5
NVIDIA driver 535.183.1, originally for CUDA 12.2

CUDA libraries: 
- CUBLAS: 12.5.3
- CURAND: 10.3.6
- CUFFT: 11.2.3
- CUSOLVER: 11.6.3
- CUSPARSE: 12.5.1
- CUPTI: 2024.2.1 (API 23.0.0)
- NVML: 12.0.0+535.183.1

Julia packages: 
- CUDA: 5.4.3
- CUDA_Driver_jll: 0.9.1+1
- CUDA_Runtime_jll: 0.14.1+0

Toolchain:
- Julia: 1.10.4
- LLVM: 15.0.7

1 device:
  0: Quadro M4000 (sm_52, 7.468 GiB / 8.000 GiB available)

Additional context The Nsight systems profiling output is shown below:

The same MWE was also run on a P100 GPU and similar trends were seen although each block took shorter times.

For other larger cases, a large delay between kernel completion and DtoH memcopy was also noticed. However, this may be unrelated.

Jul 31 '24 23:07 cibinjoseph

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Improve launch latency

CUDA.jl
CUDA.jl copied to clipboard