Unitful support
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- Dominant language
- Julia
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- 327
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- Merged PRs (30d)
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Description
using OrdinaryDiffEq, DiffEqGPU, Test, Unitful
function lorenz(du,u,p,t)
@inbounds begin
du[1] = p[1]*(u[2]-u[1])
du[2] = u[1]*(p[2]-u[3]) - u[2]
du[3] = u[1]*u[2] - p[3]*u[3]
end
nothing
end
u0 = [1f0u"m";0u"m";0u"m"]
tspan = (0.0f0u"s",100.0f0u"s")
p = (10.0f0,28.0f0,8/3f0)
prob = ODEProblem(lorenz,u0,tspan,p)
prob_func = (prob,i,repeat) -> remake(prob,p=rand(Float32,3).*p)
monteprob = EnsembleProblem(prob, prob_func = prob_func)
@test_broken sol = solve(monteprob,Tsit5(),EnsembleGPUArray(),trajectories=10_000,saveat=1.0f0u"s")
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the Unitful example using ODEProblem, EnsembleProblem, EnsembleGPUArray, and Tsit5 shown in the issue. Inspect the DiffEqGPU entry point used by solve and establish a test that replaces the @test_broken marker; done means the 10,000-trajectory Unitful example runs successfully on the GPU.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- hpc
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100