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Tpose #67

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merged 2 commits into from
Apr 14, 2022
Merged

Tpose #67

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5d90fb3
comment out, add tpose
rayegun Apr 9, 2022
67e2ec3
fix tpose
rayegun Apr 9, 2022
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193 changes: 110 additions & 83 deletions benchmarks/benchmarks2.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -73,9 +73,11 @@ end

function tpose(A::SuiteSparseGraphBLAS.GBArray)
Ao = storageorder(A) == ColMajor() ? "C" : "R"
Bo = storageorder(B) == ColMajor() ? "C" : "R"
printstyled(stdout, "\nC::GBArray = transpose(A::GBArray($Ao, $(size(A))))\n")
result = @gbbench copy(transpose(A))
C = similar(A)
gbset(C, :format, storageorder(A) === ColMajor() ? SuiteSparseGraphBLAS.BYCOL : SuiteSparseGraphBLAS.BYROW)
Co = storageorder(A) == ColMajor() ? "C" : "R"
printstyled(stdout, "\nC::GBArray($(Co)) = transpose(A::GBArray($Ao, $(size(A))))\n")
result = @gbbench SuiteSparseGraphBLAS.gbtranspose!(C, A)
println(stdout, result, "s")
GC.gc()
flush(stdout)
Expand All @@ -91,7 +93,14 @@ function tpose(A::SparseMatrixCSC)
return result
end

function spdbench(A)
function runthreadedt(A, B; accumdenseoutput=false)
v = []
for t ∈ threadlist
printstyled(stdout, "\nRunning GraphBLAS with $t threads\n"; bold=true)
gbset(:nthreads, t)
push!(v, tpose(A))
end
return v
end

function singlebench(pathornum)
Expand All @@ -113,98 +122,116 @@ function singlebench(pathornum)
printstyled(stdout, "\n#################################################################################\n"; bold=true, color=:green)
printstyled(stdout, "Benchmarking $name:\n"; bold=true, color=:green)
printstyled(stdout, "#################################################################################\n"; bold=true, color=:green)
printstyled(stdout, "\nSparse * Vec\n"; bold=true)

# printstyled(stdout, "\nSparse * Vec\n"; bold=true)
# println(stdout, "################################")
# flush(stdout)
# B = rand(eltype(A), size(A, 2))
# B = GBVector(B)
#
# gbresultsR = runthreaded(A, B; accumdenseoutput=true)
# gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
# diag(A)
# gbresultsC = runthreaded(A, B; accumdenseoutput=true)
# SAresults = mxm(SparseMatrixCSC(A), Vector(B))
# printstyled(stdout, "\nRESULTS, Sparse * DenseVec: \n"; bold=true, color=:green)
# println(stdout, "################################")
# println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
# println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
# println(stdout, "SparseArrays: $SAresults")
# flush(stdout)
#
# printstyled(stdout, "\nSparse * (n x 2)\n"; bold=true)
# println(stdout, "################################")
# flush(stdout)
# B = GBMatrix(rand(eltype(A), size(A, 2), 2))
# gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
# diag(A)
# gbresultsR = runthreaded(A, B; accumdenseoutput=true)
# gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
# diag(A)
# gbresultsC = runthreaded(A, B; accumdenseoutput=true)
# SAresults = mxm(SparseMatrixCSC(A), Matrix(B))
# printstyled(stdout, "\nRESULTS, Sparse * n x 2 Dense: \n"; bold=true, color=:green)
# println(stdout, "################################")
# println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
# println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
# println(stdout, "SparseArrays: $SAresults")
# flush(stdout)
#
# printstyled(stdout, "\nSparse * (n x 32)\n"; bold=true)
# println(stdout, "################################")
# flush(stdout)
# B = GBMatrix(rand(eltype(A), size(A, 2), 32))
# gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
# diag(A)
# gbresultsR = runthreaded(A, B; accumdenseoutput=true)
# gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
# diag(A)
# gbresultsC = runthreaded(A, B; accumdenseoutput=true)
# SAresults = mxm(SparseMatrixCSC(A), Matrix(B))
# printstyled(stdout, "\nRESULTS, Sparse * n x 32 Dense: \n"; bold=true, color=:green)
# println(stdout, "################################")
# println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
# println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
# println(stdout, "SparseArrays: $SAresults")
# flush(stdout)
#
# printstyled(stdout, "\nSparse * Sparse'"; bold=true)
# println(stdout, "################################")
# flush(stdout)
# gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
# diag(A)
# gbresultsR = runthreaded(A, transpose(A))
# gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
# diag(A)
# gbresultsC = runthreaded(A, transpose(A))
# A2 = SparseMatrixCSC(A)
# SAresults = mxm(A2, transpose(A2))
# println(stdout, )
# printstyled(stdout, "\nRESULTS, Sparse * Sparse: \n"; bold=true, color=:green)
# println(stdout, "################################")
# println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
# println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
# println(stdout, "SparseArrays: $SAresults")
# flush(stdout)
#
# printstyled(stdout, "\nSparse * Sparse'"; bold=true)
# println(stdout, "################################")
# flush(stdout)
# gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
# diag(A)
# gbresultsR = runthreaded(A, transpose(A))
# gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
# diag(A)
# gbresultsC = runthreaded(A, transpose(A))
# A2 = SparseMatrixCSC(A)
# SAresults = mxm(A2, transpose(A2))
# println(stdout, )
# printstyled(stdout, "\nRESULTS, Sparse * Sparse: \n"; bold=true, color=:green)
# println(stdout, "################################")
# println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
# println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
# println(stdout, "SparseArrays: $SAresults")
# flush(stdout)
printstyled(stdout, "\nC = copy(transpose(A))"; bold=true)
println(stdout, "################################")
flush(stdout)
B = rand(eltype(A), size(A, 2))
B = GBVector(B)

gbresultsR = runthreaded(A, B; accumdenseoutput=true)
gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
diag(A)
gbresultsC = runthreaded(A, B; accumdenseoutput=true)
SAresults = mxm(SparseMatrixCSC(A), Vector(B))
printstyled(stdout, "\nRESULTS, Sparse * DenseVec: \n"; bold=true, color=:green)
println(stdout, "################################")
println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
println(stdout, "SparseArrays: $SAresults")
flush(stdout)

printstyled(stdout, "\nSparse * (n x 2)\n"; bold=true)
println(stdout, "################################")
flush(stdout)
B = GBMatrix(rand(eltype(A), size(A, 2), 2))
gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
diag(A)
gbresultsR = runthreaded(A, B; accumdenseoutput=true)
gbresultsR = runthreadedt(A, transpose(A))
gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
diag(A)
gbresultsC = runthreaded(A, B; accumdenseoutput=true)
SAresults = mxm(SparseMatrixCSC(A), Matrix(B))
printstyled(stdout, "\nRESULTS, Sparse * n x 2 Dense: \n"; bold=true, color=:green)
println(stdout, "################################")
println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
println(stdout, "SparseArrays: $SAresults")
flush(stdout)

printstyled(stdout, "\nSparse * (n x 32)\n"; bold=true)
println(stdout, "################################")
flush(stdout)
B = GBMatrix(rand(eltype(A), size(A, 2), 32))
gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
diag(A)
gbresultsR = runthreaded(A, B; accumdenseoutput=true)
gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
diag(A)
gbresultsC = runthreaded(A, B; accumdenseoutput=true)
SAresults = mxm(SparseMatrixCSC(A), Matrix(B))
printstyled(stdout, "\nRESULTS, Sparse * n x 32 Dense: \n"; bold=true, color=:green)
println(stdout, "################################")
println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
println(stdout, "SparseArrays: $SAresults")
flush(stdout)

printstyled(stdout, "\nSparse * Sparse'"; bold=true)
println(stdout, "################################")
flush(stdout)
gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
diag(A)
gbresultsR = runthreaded(A, transpose(A))
gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
diag(A)
gbresultsC = runthreaded(A, transpose(A))
A2 = SparseMatrixCSC(A)
SAresults = mxm(A2, transpose(A2))
println(stdout, )
printstyled(stdout, "\nRESULTS, Sparse * Sparse: \n"; bold=true, color=:green)
println(stdout, "################################")
println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
println(stdout, "SparseArrays: $SAresults")
flush(stdout)

printstyled(stdout, "\nSparse * Sparse'"; bold=true)
println(stdout, "################################")
flush(stdout)
gbset(A, :format, SuiteSparseGraphBLAS.BYROW)
diag(A)
gbresultsR = runthreaded(A, transpose(A))
gbset(A, :format, SuiteSparseGraphBLAS.BYCOL)
diag(A)
gbresultsC = runthreaded(A, transpose(A))
gbresultsC = runthreadedt(A, transpose(A))
A2 = SparseMatrixCSC(A)
SAresults = mxm(A2, transpose(A2))
SAresults = tpose(A2)
println(stdout, )
printstyled(stdout, "\nRESULTS, Sparse * Sparse: \n"; bold=true, color=:green)
printstyled(stdout, "\nRESULTS, C = copy(transpose(A)): \n"; bold=true, color=:green)
println(stdout, "################################")
println(stdout, "A by row (1, 2, 16 thread): $gbresultsR")
println(stdout, "A by col (1, 2, 16 thread): $gbresultsC")
println(stdout, "SparseArrays: $SAresults")
flush(stdout)

return nothing
end

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