File: TestCuda_InterOp_StreamsMultiGPU.cpp

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//@HEADER
// ************************************************************************
//
//                        Kokkos v. 4.0
//       Copyright (2022) National Technology & Engineering
//               Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Part of Kokkos, under the Apache License v2.0 with LLVM Exceptions.
// See https://kokkos.org/LICENSE for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//@HEADER

#include <TestCuda_Category.hpp>
#include <TestMultiGPU.hpp>

namespace {

struct StreamsAndDevices {
  std::array<cudaStream_t, 2> streams;
  std::array<int, 2> devices;

  StreamsAndDevices() {
    int n_devices;
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaGetDeviceCount(&n_devices));

    devices = {0, n_devices - 1};
    for (int i = 0; i < 2; ++i) {
      KOKKOS_IMPL_CUDA_SAFE_CALL(cudaSetDevice(devices[i]));
      KOKKOS_IMPL_CUDA_SAFE_CALL(cudaStreamCreate(&streams[i]));
    }
  }
  StreamsAndDevices(const StreamsAndDevices &)            = delete;
  StreamsAndDevices &operator=(const StreamsAndDevices &) = delete;
  ~StreamsAndDevices() {
    for (int i = 0; i < 2; ++i) {
      KOKKOS_IMPL_CUDA_SAFE_CALL(cudaSetDevice(devices[i]));
      KOKKOS_IMPL_CUDA_SAFE_CALL(cudaStreamDestroy(streams[i]));
    }
  }
};

std::array<TEST_EXECSPACE, 2> get_execution_spaces(
    const StreamsAndDevices &streams_and_devices) {
  TEST_EXECSPACE exec0(streams_and_devices.streams[0]);
  TEST_EXECSPACE exec1(streams_and_devices.streams[1]);

  // Must return void to use ASSERT_EQ
  [&]() {
    ASSERT_EQ(exec0.cuda_device(), streams_and_devices.devices[0]);
    ASSERT_EQ(exec1.cuda_device(), streams_and_devices.devices[1]);
  }();

  return {exec0, exec1};
}

struct TEST_CATEGORY_FIXTURE(multi_gpu) : public ::testing::Test {
  StreamsAndDevices sd;

  void SetUp() override {
    if (sd.devices[0] == sd.devices[1])
      GTEST_SKIP() << "Skipping Cuda multi-gpu testing since current machine "
                      "only contains a single GPU.\n";
  }
};

TEST_F(TEST_CATEGORY_FIXTURE(multi_gpu), managed_views) {
  StreamsAndDevices streams_and_devices;
  {
    std::array<TEST_EXECSPACE, 2> execs =
        get_execution_spaces(streams_and_devices);

    Kokkos::View<int *, TEST_EXECSPACE> view0(
        Kokkos::view_alloc("v0", execs[0]), 100);
    Kokkos::View<int *, TEST_EXECSPACE> view(Kokkos::view_alloc("v", execs[1]),
                                             100);

    test_policies(execs[0], view0, execs[1], view);
  }
}

TEST_F(TEST_CATEGORY_FIXTURE(multi_gpu), unmanaged_views) {
  StreamsAndDevices streams_and_devices;
  {
    std::array<TEST_EXECSPACE, 2> execs =
        get_execution_spaces(streams_and_devices);

    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaSetDevice(execs[0].cuda_device()));
    int *p0;
    void *p0_void_ptr = nullptr;
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaMalloc(&p0_void_ptr, sizeof(int) * 100));
    p0 = static_cast<int *>(p0_void_ptr);
    Kokkos::View<int *, TEST_EXECSPACE> view0(p0, 100);

    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaSetDevice(execs[1].cuda_device()));
    int *p;
    void *p_void_ptr = nullptr;
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaMalloc(&p_void_ptr, sizeof(int) * 100));
    p = static_cast<int *>(p_void_ptr);
    Kokkos::View<int *, TEST_EXECSPACE> view(p, 100);

    test_policies(execs[0], view0, execs[1], view);
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaFree(p0));
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaFree(p));
  }
}

TEST_F(TEST_CATEGORY_FIXTURE(multi_gpu), scratch_space) {
  StreamsAndDevices streams_and_devices;
  {
    std::array<TEST_EXECSPACE, 2> execs =
        get_execution_spaces(streams_and_devices);

    test_scratch(execs[0], execs[1]);
  }
}

TEST_F(TEST_CATEGORY_FIXTURE(multi_gpu), stream_sync_semantics_raw_cuda) {
  // Test that stream synchronization behavior for various GPU APIs matches the
  // assumptions made in Kokkos for multi gpu support, namely, that any stream
  // (no matter which device it is created on) can be synced from any device.

  StreamsAndDevices streams_and_devices;
  {
    auto streams = streams_and_devices.streams;
    auto devices = streams_and_devices.devices;

    // Allocate data.
    int *value;
    void *value_void_ptr = nullptr;
    KOKKOS_IMPL_CUDA_SAFE_CALL(
        cudaMallocHost(&value_void_ptr, 1 * sizeof(int)));
    value = static_cast<int *>(value_void_ptr);

    int *check;
    void *check_void_ptr = nullptr;
    KOKKOS_IMPL_CUDA_SAFE_CALL(
        cudaMallocHost(&check_void_ptr, 1 * sizeof(int)));
    check = static_cast<int *>(check_void_ptr);

    // Launch "long" kernel on device 0.
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaSetDevice(devices[0]));
    constexpr size_t size = 10000;
    accumulate_kernel<size><<<1, 1, 0, streams[0]>>>(value);

    // Wait for the kernel running on device 0 while we are on device 1, then
    // check the value.
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaSetDevice(devices[1]));
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaStreamSynchronize(streams[0]));
    copy_kernel<<<1, 1, 0, streams[1]>>>(check, value);
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaStreamSynchronize(streams[1]));
    ASSERT_EQ(check[0], size);

    // Cleanup.
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaFreeHost(value));
    KOKKOS_IMPL_CUDA_SAFE_CALL(cudaFreeHost(check));
  }
}

}  // namespace