master-thesis/package/test/CpuInterpreterTests.jl

75 lines
2.9 KiB
Julia

using LinearAlgebra
using BenchmarkTools
using DelimitedFiles
using GZip
include("parser.jl") # to parse expressions from a file
function test_cpu_interpreter(nrows; parallel = false)
exprs = [
# CPU interpreter requires an anonymous function and array ref s
:(p[1] * x[1] + p[2]), # 5 op
:((((x[1] + x[2]) + x[3]) + x[4]) + x[5]), # 9 op
:(log(abs(x[1]))), # 3 op
:(powabs(p[2] - powabs(p[1] + x[1], 1/x[1]),p[3])) # 13 op
] # 30 op
exprs = map(e -> Expr(:->, :(x,p), e), exprs)
X = randn(Float32, nrows, 10)
p = [randn(Float32, 10) for _ in 1:length(exprs)] # generate 10 random parameter values for each expr
# warmup
interpret_cpu(exprs, X, p)
expr_reps = 100 # for each expr
reps= 100
if parallel
# t_sec = @elapsed fetch.([Threads.@spawn interpret_cpu(exprs, X, p; repetitions=expr_reps) for i in 1:reps])
@btime parallel(exprs, X, p, expr_reps, reps)
println("~ $(round(30 * reps * expr_reps * nrows / 1e9 / t_sec, digits=2)) GFLOPS ($(Threads.nthreads()) threads) ($(round(LinearAlgebra.peakflops(1000, eltype=Float32, ntrials=1) / 1e9, digits=2)) GFLOPS (peak, single-core))")
else
# t_sec = @elapsed for i in 1:reps interpret_cpu(exprs, X, p; repetitions=expr_reps) end
@btime single(exprs, X, p, expr_reps, reps)
println("~ $(round(30 * reps * expr_reps * nrows / 1e9 / t_sec, digits=2)) GFLOPS (single-core) ($(round(LinearAlgebra.peakflops(1000, eltype=Float32, ntrials=1) / 1e9, digits=2)) GFLOPS (peak, single-core))")
end
true
end
function parallel(exprs, X, p, expr_reps, reps)
fetch.([Threads.@spawn interpret_cpu(exprs, X, p; repetitions=expr_reps) for i in 1:reps])
end
function single(exprs, X, p, expr_reps, reps)
for i in 1:reps interpret_cpu(exprs, X, p; repetitions=expr_reps) end
end
# LinearAlgebra.BLAS.set_num_threads(1) # only use a single thread for peakflops
@test test_cpu_interpreter(1000)
@test test_cpu_interpreter(1000, parallel=true) # start julia -t 6 for six threads
@test test_cpu_interpreter(10000)
@test test_cpu_interpreter(10000, parallel=true)
function test_cpu_interpreter_nikuradse()
data,varnames = readdlm("data/nikuradse_1.csv", ',', header=true);
X = convert(Matrix{Float32}, data)
exprs = Expr[]
parameters = Vector{Vector{Float32}}()
varnames = ["x$i" for i in 1:10]
paramnames = ["p$i" for i in 1:20]
# data/esr_nvar2_len10.txt.gz_9.txt.gz has ~250_000 exprs
# data/esr_nvar2_len10.txt.gz_10.txt.gz has ~800_000 exrps
GZip.open("data/esr_nvar2_len10.txt.gz_9.txt.gz") do io
for line in eachline(io)
expr, p = parse_infix(line, varnames, paramnames)
push!(exprs, expr)
push!(parameters, randn(Float32, length(p)))
end
end
interpret_cpu(exprs, X, parameters) # TODO: sufficient to do up to 10 repetitions per expression,
end