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libcsb.jl
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@doc """
$(TYPEDEF)
Matrix type for storing sparse matrices in the Compressed Sparse
Blocks format. The standard way of constructing `SparseMatrixCSB` is
to pass a `SparseMatrixCSC` object, see the constructors.
"""
mutable struct SparseMatrixCSB{Tv,Ti} <: SparseArrays.AbstractSparseMatrix{Tv,Ti}
m::Ti
n::Ti
nz::Ti
ptr::Ptr{Cvoid}
function SparseMatrixCSB{Tv,Ti}(m::Ti, n::Ti, nz::Ti, ptr::Ptr{Cvoid}) where {Tv,Ti}
A = new(m, n, nz, ptr)
function f(X)
@async deallocateCSB!(X)
end
return finalizer(f, A)
end
end
CSBTYPES = Union{
SparseMatrixCSB{Tv,Ti},
LinearAlgebra.Adjoint{Tv,SparseMatrixCSB{Tv,Ti}},
Transpose{Tv,SparseMatrixCSB{Tv,Ti}},
} where {Tv,Ti}
@doc """
$(TYPEDSIGNATURES)
Convert a `SparseMatrixCSC` matrix `A` into a `SparseMatrixCSB` matrix.
# Optional arguments
- `beta`: The size of each block in base-2 logarithm; if 0 the package
decides the block size internally.
"""
SparseMatrixCSB(A::SparseMatrixCSC{Tv,Ti}, beta::Integer=0) where {Tv,Ti<:Integer} =
prepareCSB(A, beta)
@doc """
$(TYPEDSIGNATURES)
Query the number of `Cilk` workers.
"""
getWorkers() = Int64(@ccall libcsb.getWorkers()::Cint)
@doc """
$(TYPEDSIGNATURES)
Set the number of `Cilk` workers to `np`.
"""
setWorkers(np::Int64) = @ccall libcsb.setWorkers(np::Int64)::Cvoid
function prepareCSB(A::SparseMatrixCSC{Tv,Ti}, beta=0) where {Tv,Ti<:Integer}
size(A, 1) == 0 && error("Matrix too small.")
size(A, 2) == 0 && error("Matrix too small.")
nextpow(2, size(A, 1)) <= SLACKNESS * getWorkers() && error("Matrix too small.")
nextpow(2, size(A, 2)) <= SLACKNESS * getWorkers() && error("Matrix too small.")
mktemp() do path, io
redirect_stdout(io) do
SparseMatrixCSB{Tv,Ti}(
Ti(size(A, 1)),
Ti(size(A, 2)),
Ti(nnz(A)),
_prepareCSB(
A.nzval,
A.rowval .- one(Ti),
A.colptr .- one(Ti),
Ti(nnz(A)),
Ti(size(A, 1)),
Ti(size(A, 2)),
getWorkers(),
beta,
),
)
end
end
end
for (Tv, Tvname) in ((Cdouble, "double"),)
for (Ti, Tiname) in ((Cuint, "uint32"), (Cintmax_t, "int64"))
@eval @inline function _prepareCSB(
val::Vector{$Tv},
row::Vector{$Ti},
colptr::Vector{$Ti},
nzmax::$Ti,
m::$Ti,
n::$Ti,
workers::Integer,
forcelogbeta::Integer,
)
return ccall(
($("prepareCSB_" * Tvname * "_" * Tiname), libcsb),
Ptr{Cvoid},
(Ptr{$Tv}, Ptr{$Ti}, Ptr{$Ti}, $Ti, $Ti, $Ti, Cint, Cint),
val,
row,
colptr,
nzmax,
m,
n,
workers,
forcelogbeta,
)
end
@eval @inline function _gespmvCSB!(
y::Vector{$Tv}, A::SparseMatrixCSB{$Tv,$Ti}, x::Vector{$Tv}
)
return ccall(
($("gespmv_" * Tvname * "_" * Tiname), libcsb),
Ptr{Cvoid},
(Ptr{Cvoid}, Ptr{$Tv}, Ptr{$Tv}),
A.ptr,
x,
y,
)
end
@eval @inline function _gespmvtCSB!(
y::Vector{$Tv},
A::LinearAlgebra.Adjoint{$Tv,SparseMatrixCSB{$Tv,$Ti}},
x::Vector{$Tv},
)
return ccall(
($("gespmvt_" * Tvname * "_" * Tiname), libcsb),
Ptr{Cvoid},
(Ptr{Cvoid}, Ptr{$Tv}, Ptr{$Tv}),
A.parent.ptr,
x,
y,
)
end
@eval @inline function _gespmvtCSB!(
y::Vector{$Tv},
A::LinearAlgebra.Transpose{$Tv,SparseMatrixCSB{$Tv,$Ti}},
x::Vector{$Tv},
)
return ccall(
($("gespmvt_" * Tvname * "_" * Tiname), libcsb),
Ptr{Cvoid},
(Ptr{Cvoid}, Ptr{$Tv}, Ptr{$Tv}),
A.parent.ptr,
x,
y,
)
end
for DIM in 2:32
@eval @inline function _gespmmCSB!(
y::Matrix{$Tv}, A::SparseMatrixCSB{$Tv,$Ti}, x::Matrix{$Tv}, ::Val{$DIM}
)
return ccall(
(
$("gespmm_" * Tvname * "_" * Tiname * "_" * string(DIM) * "_rhs"),
libcsb,
),
Ptr{Cvoid},
(Ptr{Cvoid}, Ptr{$Tv}, Ptr{$Tv}, Cint, Cint),
A.ptr,
x,
y,
size(y, 1),
size(x, 1),
)
end
@eval @inline function _gespmmtCSB!(
y::Matrix{$Tv},
A::LinearAlgebra.Adjoint{$Tv,SparseMatrixCSB{$Tv,$Ti}},
x::Matrix{$Tv},
::Val{$DIM},
)
return ccall(
(
$("gespmmt_" * Tvname * "_" * Tiname * "_" * string(DIM) * "_rhs"),
libcsb,
),
Ptr{Cvoid},
(Ptr{Cvoid}, Ptr{$Tv}, Ptr{$Tv}, Cint, Cint),
A.parent.ptr,
x,
y,
size(y, 1),
size(x, 1),
)
end
@eval @inline function _gespmmtCSB!(
y::Matrix{$Tv},
A::LinearAlgebra.Transpose{$Tv,SparseMatrixCSB{$Tv,$Ti}},
x::Matrix{$Tv},
::Val{$DIM},
)
return ccall(
(
$("gespmmt_" * Tvname * "_" * Tiname * "_" * string(DIM) * "_rhs"),
libcsb,
),
Ptr{Cvoid},
(Ptr{Cvoid}, Ptr{$Tv}, Ptr{$Tv}, Cint, Cint),
A.parent.ptr,
x,
y,
size(y, 1),
size(x, 1),
)
end
end
@eval @inline function _deallocate!(A::SparseMatrixCSB{$Tv,$Ti})
return ccall(
($("deallocate_" * Tvname * "_" * Tiname), libcsb),
Ptr{Cvoid},
(Ptr{Cvoid},),
A.ptr,
)
end
end
end
function deallocateCSB!(A::SparseMatrixCSB)
A.ptr == C_NULL && error("Invalid CSB object")
_deallocate!(A)
A.ptr = C_NULL
A.m = A.n = A.nz = 0
return nothing
end
# overrides
function mul!(y::AbstractVecOrMat, A::SparseMatrixCSB, x::AbstractVector)
@assert size(y, 1) == size(A, 1)
@assert size(x, 1) == size(A, 2)
fill!(y, 0)
_gespmvCSB!(y, A, x)
return y
end
function mul!(y::AbstractVecOrMat, A::SparseMatrixCSB, x::AbstractMatrix)
@assert size(y, 1) == size(A, 1)
@assert size(x, 1) == size(A, 2)
@assert size(y, 2) == size(x, 2)
fill!(y, 0)
if size(x, 2) == 1
_gespmvCSB!(vec(y), A, vec(x))
elseif size(x, 2) > 32
throw(
DimensionMismatch(
"This CSB wrapper has been compiled to support up to 32 columns at a time."
),
)
else
_gespmmCSB!(y, A, x, Val(size(x, 2)))
end
return y
end
# transpose
function mul!(
y::AbstractVecOrMat,
A::Union{Adjoint{Tv,SparseMatrixCSB{Tv,Ti}},Transpose{Tv,SparseMatrixCSB{Tv,Ti}}},
x::AbstractVector,
) where {Tv,Ti}
@assert size(y, 1) == size(A, 1)
@assert size(x, 1) == size(A, 2)
fill!(y, 0)
_gespmvtCSB!(y, A, x)
return y
end
function mul!(
y::AbstractVecOrMat,
A::Union{Adjoint{Tv,SparseMatrixCSB{Tv,Ti}},Transpose{Tv,SparseMatrixCSB{Tv,Ti}}},
x::AbstractMatrix,
) where {Tv,Ti}
@assert size(y, 1) == size(A, 1)
@assert size(x, 1) == size(A, 2)
@assert size(y, 2) == size(x, 2)
fill!(y, 0)
if size(x, 2) == 1
_gespmvtCSB!(vec(y), A, vec(x))
elseif size(x, 2) > 32
throw(
DimensionMismatch(
"This CSB wrapper has been compiled to support up to 32 columns at a time."
),
)
else
_gespmmtCSB!(y, A, x, Val(size(x, 2)))
end
return y
end
size(A::SparseMatrixCSB) = (A.m, A.n)
nnz(A::SparseMatrixCSB) = A.nz
nnz(A::LinearAlgebra.Adjoint{Tv,SparseMatrixCSB{Tv,Ti}}) where {Tv,Ti} = A.parent.nz
nnz(A::LinearAlgebra.Transpose{Tv,SparseMatrixCSB{Tv,Ti}}) where {Tv,Ti} = A.parent.nz
function Base.print_matrix(io::IO, S::CSBTYPES)
end
function array_summary(io::IO, S::CSBTYPES, dims::Tuple{Vararg{Base.OneTo}})
xnnz = nnz(S)
m, n = size(S)
print(
io,
m,
"×",
n,
" ",
typeof(S),
" with ",
xnnz,
" stored ",
xnnz == 1 ? "entry" : "entries",
)
return nothing
end
function print_array(io::IO, A::CSBTYPES)
end