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Adapt to GPUArrays.jl transition to KernelAbstractions.jl. #475

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Merged
maleadt merged 1 commit into from
Oct 17, 2024
Merged

Adapt to GPUArrays.jl transition to KernelAbstractions.jl. #475

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2 changes: 1 addition & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ oneAPI_Support_jll = "b049733a-a71d-5ed3-8eba-7d323ac00b36"
Adapt = "4"
CEnum = "0.4, 0.5"
ExprTools = "0.1"
GPUArrays = "10"
GPUArrays = "11"
GPUCompiler = "0.23, 0.24, 0.25, 0.26, 0.27, 1"
KernelAbstractions = "0.9.1"
LLVM = "6, 7, 8, 9"
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65 changes: 0 additions & 65 deletions src/gpuarrays.jl
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@@ -1,70 +1,5 @@
# GPUArrays.jl interface


#
# Device functionality
#


## execution

struct oneArrayBackend <: AbstractGPUBackend end

struct oneKernelContext <: AbstractKernelContext end

@inline function GPUArrays.launch_heuristic(::oneArrayBackend, f::F, args::Vararg{Any,N};
elements::Int, elements_per_thread::Int) where {F,N}
kernel = @oneapi launch=false f(oneKernelContext(), args...)

items = launch_configuration(kernel)
# XXX: how many groups is a good number? the API doesn't tell us.
# measured on a low-end IGP, 32 blocks seems like a good sweet spot.
# note that this only matters for grid-stride kernels, like broadcast.
return (threads=items, blocks=32)
end

function GPUArrays.gpu_call(::oneArrayBackend, f, args, threads::Int, blocks::Int;
name::Union{String,Nothing})
@oneapi items=threads groups=blocks name=name f(oneKernelContext(), args...)
end


## on-device

# indexing

GPUArrays.blockidx(ctx::oneKernelContext) = oneAPI.get_group_id(0)
GPUArrays.blockdim(ctx::oneKernelContext) = oneAPI.get_local_size(0)
GPUArrays.threadidx(ctx::oneKernelContext) = oneAPI.get_local_id(0)
GPUArrays.griddim(ctx::oneKernelContext) = oneAPI.get_num_groups(0)

# math

@inline GPUArrays.cos(ctx::oneKernelContext, x) = oneAPI.cos(x)
@inline GPUArrays.sin(ctx::oneKernelContext, x) = oneAPI.sin(x)
@inline GPUArrays.sqrt(ctx::oneKernelContext, x) = oneAPI.sqrt(x)
@inline GPUArrays.log(ctx::oneKernelContext, x) = oneAPI.log(x)

# memory

@inline function GPUArrays.LocalMemory(::oneKernelContext, ::Type{T}, ::Val{dims}, ::Val{id}
) where {T, dims, id}
ptr = oneAPI.emit_localmemory(Val(id), T, Val(prod(dims)))
oneDeviceArray(dims, LLVMPtr{T, onePI.AS.Local}(ptr))
end

# synchronization

@inline GPUArrays.synchronize_threads(::oneKernelContext) = oneAPI.barrier()



#
# Host abstractions
#

GPUArrays.backend(::Type{<:oneArray}) = oneArrayBackend()

const GLOBAL_RNGs = Dict{ZeDevice,GPUArrays.RNG}()
function GPUArrays.default_rng(::Type{<:oneArray})
dev = device()
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