DiffEqGPU: Massively Data-Parallel GPU Solving of ODEs
This library is a component package of the DifferentialEquations.jl ecosystem. It includes functionality for making use of GPUs in the differential equation solvers.
Installation
To install DiffEqGPU.jl, use the Julia package manager:
using Pkg
Pkg.add("DiffEqGPU")This will also install all the dependencies, including the CUDA.jl, which will also install all the required versions of CUDA and CuDNN required by these libraries. Note that the same requirements of CUDA.jl apply to DiffEqGPU, such as requiring a GPU with CUDA v11 compatibility. For more information on these requirements, see the requirements of CUDA.jl.
Contributing
Please refer to the SciML ColPrac: Contributor's Guide on Collaborative Practices for Community Packages for guidance on PRs, issues, and other matters relating to contributing to SciML.
There are a few community forums:
- the #diffeq-bridged channel in the Julia Slack
- JuliaDiffEq on Gitter
- on the Julia Discourse forums
- see also SciML Community page
Reproducibility
The documentation of this SciML package was built using these direct dependencies,
Status `~/_work/DiffEqGPU.jl/DiffEqGPU.jl/docs/Project.toml`
[79e6a3ab] Adapt v4.7.1
[6e4b80f9] BenchmarkTools v1.8.0
⌃ [052768ef] CUDA v6.2.2
[2b5f629d] DiffEqBase v7.21.1
[071ae1c0] DiffEqGPU v3.21.2 `~/_work/DiffEqGPU.jl/DiffEqGPU.jl`
[e30172f5] Documenter v1.19.0
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[63c18a36] KernelAbstractions v0.9.42
[b2108857] Lux v1.31.4
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[3bd65402] Optimisers v0.4.9
[1dea7af3] OrdinaryDiffEq v7.8.1
[91a5bcdd] Plots v1.41.7
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[0bca4576] SciMLBase v3.55.0
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[90137ffa] StaticArrays v1.9.21
[10745b16] Statistics v1.11.5
[789caeaf] StochasticDiffEq v7.2.0
[2efcf032] SymbolicIndexingInterface v0.3.55
[e88e6eb3] Zygote v0.7.13
[8ba89e20] Distributed v1.11.0
[37e2e46d] LinearAlgebra v1.13.0
[9a3f8284] Random v1.11.0
Info Packages marked with ⌃ have new versions available and may be upgradable.and using this machine and Julia version.
Julia Version 1.13.0
Commit d1c37793dd2 (2026-09-09 19:00 UTC)
Build Info:
Official https://julialang.org release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 128 × AMD EPYC 9354 32-Core Processor
WORD_SIZE: 64
LLVM: libLLVM-20.1.8 (ORCJIT, znver4)
GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 8 virtual cores)
Environment:
JULIA_CPU_THREADS = 8
JULIA_NUM_PRECOMPILE_TASKS = 8A more complete overview of all dependencies and their versions is also provided.
Status `~/_work/DiffEqGPU.jl/DiffEqGPU.jl/docs/Manifest.toml`
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[36db933b] libinput_jll v1.28.1+0
[b53b4c65] libpng_jll v1.6.58+0
[9a156e7d] libva_jll v2.23.0+0
[f27f6e37] libvorbis_jll v1.3.8+0
[009596ad] mtdev_jll v1.1.7+0
[1317d2d5] oneTBB_jll v2022.3.0+0
⌅ [1270edf5] x264_jll v10164.0.1+0
[dfaa095f] x265_jll v4.1.0+0
[d8fb68d0] xkbcommon_jll v1.13.0+0
[0dad84c5] ArgTools v1.1.2
[56f22d72] Artifacts v1.11.0
[2a0f44e3] Base64 v1.11.0
[ade2ca70] Dates v1.11.0
[8ba89e20] Distributed v1.11.0
[f43a241f] Downloads v1.7.0
[7b1f6079] FileWatching v1.11.0
[9fa8497b] Future v1.11.0
[b77e0a4c] InteractiveUtils v1.11.0
[ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
[4af54fe1] LazyArtifacts v1.11.0
[b27032c2] LibCURL v1.0.0
[76f85450] LibGit2 v1.11.0
[8f399da3] Libdl v1.11.0
[37e2e46d] LinearAlgebra v1.13.0
[56ddb016] Logging v1.11.0
[d6f4376e] Markdown v1.11.0
[a63ad114] Mmap v1.11.0
[ca575930] NetworkOptions v1.3.0
[44cfe95a] Pkg v1.13.0
[de0858da] Printf v1.11.0
[9abbd945] Profile v1.11.0
[3fa0cd96] REPL v1.11.0
[9a3f8284] Random v1.11.0
[ea8e919c] SHA v1.0.0
[9e88b42a] Serialization v1.11.0
[6462fe0b] Sockets v1.11.0
[2f01184e] SparseArrays v1.13.0
[f489334b] StyledStrings v1.11.0
[4607b0f0] SuiteSparse
[fa267f1f] TOML v1.0.3
[a4e569a6] Tar v1.10.0
[8dfed614] Test v1.11.0
[cf7118a7] UUIDs v1.11.0
[4ec0a83e] Unicode v1.11.0
[e66e0078] CompilerSupportLibraries_jll v1.5.5+2
[deac9b47] LibCURL_jll v8.18.0+1
[e37daf67] LibGit2_jll v1.9.1+0
[29816b5a] LibSSH2_jll v1.11.103+0
[14a3606d] MozillaCACerts_jll v2026.8.13
[4536629a] OpenBLAS_jll v0.3.30+0
[05823500] OpenLibm_jll v0.8.7+0
[458c3c95] OpenSSL_jll v3.5.6+0
[efcefdf7] PCRE2_jll v10.46.0+0
[bea87d4a] SuiteSparse_jll v7.10.1+0
[83775a58] Zlib_jll v1.3.1+2
[3161d3a3] Zstd_jll v1.5.7+1
[8e850b90] libblastrampoline_jll v5.15.0+0
[8e850ede] nghttp2_jll v1.67.1+0
[3f19e933] p7zip_jll v17.8.2+0
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`You can also download the manifest file and the project file.