JuliaGPU
`get_backend` support for `MVector`
This fails right now:
julia> using KernelAbstractions, StaticArrays
julia> get_backend(MVector(1,2,3))
ERROR: ArgumentError: Implement `KernelAbstractions.get_backend(::MVector{3, Int64})`
Stacktrace:
[1] get_backend(A::MVector{3, Int64})
@ KernelAbstractions ~/.julia/packages/KernelAbstractions/C3nYQ/src/KernelAbstractions.jl:522
[2] top-level scope
@ REPL[6]:1
MVectors are very small and for most scenarios I would expect the overhead of KA not to be worth it, and I would rather receive an error instead of making an implicit bad decision
MVectors are very small and for most scenarios I would expect the overhead of KA not to be worth it,
Thanks to KernelAbstractions, I have a single framework where I can do particle tracking both on the CPU and GPU. This can be anywhere between 1 particle to billions of particles. Each particle is 6 phase space coordinates.
On the CPU, something we do frequently is track a "Taylor-series" type number (see GTPSA.jl) so that we get the transport map expanded around a specific particle as a Taylor series. This is only one particle but the number types are basically Taylor series.
In the spirit of KA, I do not want to have a different framework for tracking 1 particle (which does have benefits when using MVector outside of the tracking part) vs 1 billion particles.