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Add CUDA HMAC test #218

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2 changes: 2 additions & 0 deletions test/nvcc_jamfile
Original file line number Diff line number Diff line change
Expand Up @@ -22,3 +22,5 @@ run test_sha3_256_nvcc.cu ;
run test_sha3_224_nvcc.cu ;
run test_shake128_nvcc.cu ;
run test_shake256_nvcc.cu ;

run test_hmac.cu ;
122 changes: 122 additions & 0 deletions test/test_hmac.cu
Original file line number Diff line number Diff line change
@@ -0,0 +1,122 @@
// Copyright Matt Borland 2024
// Use, modification and distribution are subject to the
// Boost Software License, Version 1.0. (See accompanying file
// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)

#include <cuda_runtime.h>
#include <boost/crypt2/mac/hmac.hpp>
#include <boost/crypt2/hash/sha3_512.hpp>
#include "cuda_managed_ptr.hpp"
#include "stopwatch.hpp"
#include "generate_random_strings.hpp"
#include <iostream>
#include <iomanip>
#include <exception>
#include <memory>
#include <span>

using digest_type = typename boost::crypt::sha3_512_hasher::return_type;

// The kernel function
__global__ void cuda_test(char** in, digest_type* out, int numElements)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;

if (i < numElements)
{
boost::crypt::hmac<boost::crypt::sha3_512_hasher> hmac_class;
cuda::std::span<char> in_span {in[i], static_cast<cuda::std::size_t>(64)};
hmac_class.init(in_span);
hmac_class.process_bytes(in_span);
hmac_class.finalize();
out[i] = hmac_class.get_digest().value();
}
}

int main()
{
try
{
// Error code to check return values for CUDA calls
cudaError_t err = cudaSuccess;

// Print the vector length to be used, and compute its size
constexpr int numElements = 50000;
constexpr std::size_t elementSize = 64;

std::cout << "[Vector operation on " << numElements << " elements]" << std::endl;

// Allocate the managed input vector A
char** input_vector1;
cudaMallocManaged(&input_vector1, numElements * sizeof(char*));

// Allocate the managed output vector C
cuda_managed_ptr<digest_type> output_vector(numElements);

for (int i = 0; i < numElements; ++i)
{
cudaMallocManaged(&input_vector1[i], elementSize * sizeof(char));
if (input_vector1[i] == nullptr)
{
throw std::runtime_error("Failed to allocate memory for input_vector1");
}
boost::crypt::generate_random_string(input_vector1[i], elementSize);
}

// Launch the Vector Add CUDA Kernel
int threadsPerBlock = 256;
int blocksPerGrid = (numElements + threadsPerBlock - 1) / threadsPerBlock;
std::cout << "CUDA kernel launch with " << blocksPerGrid << " blocks of " << threadsPerBlock << " threads" << std::endl;

watch w;
cuda_test<<<blocksPerGrid, threadsPerBlock>>>(input_vector1, output_vector.get(), numElements);
cudaDeviceSynchronize();
std::cout << "CUDA kernal done in " << w.elapsed() << "s" << std::endl;

err = cudaGetLastError();
if (err != cudaSuccess)
{
std::cerr << "Failed to launch vectorAdd kernel (error code " << cudaGetErrorString(err) << ")!" << std::endl;
return EXIT_FAILURE;
}

// Verify that the result vector is correct
std::vector<digest_type> results;
results.reserve(numElements);
w.reset();
for(int i = 0; i < numElements; ++i)
{
std::span<char> in_span(input_vector1[i], static_cast<std::size_t>(64));
boost::crypt::hmac<boost::crypt::sha3_512_hasher> hmac_class;
hmac_class.init(in_span);
hmac_class.process_bytes(in_span);
hmac_class.finalize();
results.emplace_back(hmac_class.get_digest().value());
}
double t = w.elapsed();

// check the results
for(int i = 0; i < numElements; ++i)
{
if (output_vector[i][0] != results[i][0])
{
std::cerr << "Result verification failed at element " << i << "!" << std::endl;
return EXIT_FAILURE;
}
}

std::cout << "Test PASSED with calculation time: " << t << "s" << std::endl;
std::cout << "Done\n";

// Cleanup all the memory we allocated
for (int i = 0; i < numElements; ++i)
{
cudaFree(input_vector1[i]);
}
cudaFree(input_vector1);
}
catch (const std::exception& e)
{
std::cerr << "Terminated with exception: " << e.what() << std::endl;
}
}
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