added guard clause generation
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This commit is contained in:
Daniel 2024-09-28 11:41:13 +02:00
parent d875fc7325
commit 7283082699
5 changed files with 98 additions and 33 deletions

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@ -44,8 +44,8 @@ end
#TODO: Add @inbounds to all indexing after it is verified that all works https://cuda.juliagpu.org/stable/development/kernel/#Bounds-checking
const MAX_STACK_SIZE = 25 # The max number of values the expression can have. so Constant values, Variables and parameters
function interpret_expression(expressions::CuDeviceArray{ExpressionElement}, variables::CuDeviceArray{Float64}, parameters::CuDeviceArray{Float64}, results::CuDeviceArray{Float64}, stepsize::CuDeviceArray{Int}, exprIndex::Int)
index = (blockIdx().x - 1) * blockDim().x + threadIdx().x
stride = gridDim().x * blockDim().x
index = (blockIdx().x - 1) * blockDim().x + threadIdx().x # ctaid.x * ntid.x + tid.x
stride = gridDim().x * blockDim().x # nctaid.x * ntid.x
firstExprIndex = ((exprIndex - 1) * stepsize[1]) + 1 # Inclusive
lastExprIndex = firstExprIndex + stepsize[1] - 1 # Inclusive

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@ -78,8 +78,25 @@ function culoadtest(N::Int32, op = "add.f32")
@time CUDA.@sync cudacall(func, Tuple{CuPtr{Cfloat},CuPtr{Cfloat},CuPtr{Cfloat},Cint}, d_a, d_b, d_c, N; threads=threadsPerBlock, blocks=blocksPerGrid)
end
const exitJumpLocationMarker = "\$L__BB0_2"
function transpile(expression::ExpressionProcessing.PostfixType)
ptxBuffer = IOBuffer()
println(ptxBuffer, get_cuda_header())
println(ptxBuffer, get_kernel_signature("ExpressionProcessing", [Int64, Float64]))
println(ptxBuffer, "{")
# Register definition
# Parameter loading
println(ptxBuffer, get_guard_clause())
# Code goes here
# exit jump location
print(ptxBuffer, exitJumpLocationMarker)
println(ptxBuffer, ": ret;")
println(ptxBuffer, "}")
println(String(take!(ptxBuffer)))
end
# TODO: Make version, target and address_size configurable
@ -91,23 +108,53 @@ function get_cuda_header()::String
"
end
function get_kernel_signature(kernelName::String, parameters::Vector{Type})::String
signature = ".visible .entry " * kernelName
function get_kernel_signature(kernelName::String, parameters::Vector{DataType})::String
signatureBuffer = IOBuffer()
print(signatureBuffer, ".visible .entry ")
print(signatureBuffer, kernelName)
println(signatureBuffer, "(")
stringBuilder = IOBuffer()
print(stringBuilder, "(")
for i in eachindex(parameters)
type = type_to_cuda_type(parameters[i])
print(stringBuilder,
".param ", type, " ", kernelName, "_param_", i, ",")
print(signatureBuffer,
" .param ", type, " ", kernelName, "_param_", i)
if i != lastindex(parameters)
println(signatureBuffer, ",")
end
end
print(stringBuilder, ")")
return String(take!(stringBuilder))
print(signatureBuffer, ")")
return String(take!(signatureBuffer))
end
function type_to_cuda_type(type::Type)::String
"
Constructs the PTX code used for handling the case where too many threads are started.
Assumes the following:
- There are the unused ```32 bit``` registers ```r1, r2, r3, r4```
- There is an unused ```predicate``` register ```p1```
- The ```32 bit``` register ```r5``` contains the number of variable sets
"
function get_guard_clause()::String
guardBuffer = IOBuffer()
println(guardBuffer, "mov.u32 %r1, %ntid.x;") # nr of thread ids
println(guardBuffer, "mov.u32 %r2, %ctaid.x;") # nr of threads per cta
println(guardBuffer, "mov.u32 %r3, %tid.x;") # id of the current thread
println(guardBuffer, "mad.lo.s32 %r4, %r1, %r2, %r3;") # the current index (basically index of variable set)
println(guardBuffer, "setp.ge.s32 %p1, %r4, %r5;") # guard clause (p1 = r4 > r5 -> index > nrOfVariableSets)
# branch to end if p1 is true
print(guardBuffer, "@%p1 bra ")
print(guardBuffer, exitJumpLocationMarker)
println(guardBuffer, ";")
return String(take!(guardBuffer))
end
function type_to_cuda_type(type::DataType)::String
if type == Int64
return ".s64"
elseif type == Float64

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@ -25,17 +25,7 @@ function testHelper(expression::Expr, variables::Matrix{Float64}, parameters::Ve
@test isequal(result[1,1], expectedResult)
end
@testset "Test TMP interpretation" begin
postfixExpr = expr_to_postfix(expressions[1])
postfixExprs = Vector([postfixExpr])
push!(postfixExprs, expr_to_postfix(expressions[2]))
# CUDA.@sync interpret(postfixExprs, variables, parameters)
end
@testset "Test conversion to matrix" begin
return
reference = Matrix{Float64}(undef, 2, 2)
reference[1,1] = 5.0
reference[2,1] = NaN64
@ -43,14 +33,12 @@ end
reference[2,2] = 0.0
# reference = Matrix([5.0, NaN],
# [5.0, 0.0])
CUDA.@sync result = Interpreter.convert_to_matrix(parameters, NaN64)
result = Interpreter.convert_to_matrix(parameters, NaN64)
@test isequal(result, reference)
end
@testset "Test commutative interpretation" begin
return
var = Matrix{Float64}(undef, 2, 1)
param = Vector{Vector{Float64}}(undef, 1)
expectedResult = 8.0 # Not using "eval" because the variables are not stored in global scope
@ -71,8 +59,6 @@ end
end
@testset "Test non commutative interpretation" begin
return
var = Matrix{Float64}(undef, 2, 1)
param = Vector{Vector{Float64}}(undef, 1)
expectedResult = -2.0 # Not using "eval" because the variables are not stored in global scope
@ -103,8 +89,6 @@ end
end
@testset "Test single value operator interpretation" begin
return
var = Matrix{Float64}(undef, 1, 1)
param = Vector{Vector{Float64}}(undef, 1)
expectedResult = 3.0 # Not using "eval" because the variables are not stored in global scope

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@ -0,0 +1,32 @@
using CUDA
using .ExpressionProcessing
using .Transpiler
expressions = Vector{Expr}(undef, 2)
variables = Matrix{Float64}(undef, 2,2)
parameters = Vector{Vector{Float64}}(undef, 2)
# Resulting value should be 10 for the first expression
expressions[1] = :(x1 + 1 * x2 + p1)
expressions[2] = :(5 + x1 + 1 * x2 + p1 + p2)
variables[1,1] = 2.0
variables[2,1] = 3.0
variables[1,2] = 0.0
variables[2,2] = 5.0
parameters[1] = Vector{Float64}(undef, 1)
parameters[2] = Vector{Float64}(undef, 2)
parameters[1][1] = 5.0
parameters[2][1] = 5.0
parameters[2][2] = 0.0
@testset "Test TMP transpiler" begin
postfixExpr = expr_to_postfix(expressions[1])
postfixExprs = Vector([postfixExpr])
push!(postfixExprs, expr_to_postfix(expressions[2]))
Transpiler.transpile(postfixExpr)
# CUDA.@sync interpret(postfixExprs, variables, parameters)
end
#TODO: test performance of transpiler PTX generation when doing "return String(take!(buffer))" vs "return take!(buffer)"

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@ -4,8 +4,10 @@ using Test
const baseFolder = dirname(dirname(pathof(ExpressionExecutorCuda)))
include(joinpath(baseFolder, "src", "ExpressionProcessing.jl"))
include(joinpath(baseFolder, "src", "Interpreter.jl"))
include(joinpath(baseFolder, "src", "Transpiler.jl"))
@testset "ExpressionExecutorCuda.jl" begin
include("ExpressionProcessingTests.jl")
include("InterpreterTests.jl")
include("TranspilerTests.jl")
end