rocm-systems/catch/perftests/stream/hipPerfDeviceConcurrency.cc

/*
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 */

/**
* @addtogroup hipPerfDeviceConcurrency hipPerfDeviceConcurrency
* @{
* @ingroup perfStreamTest
* `hipError_t hipStreamCreate(hipStream_t* stream)` -
* Create an asynchronous stream.
*/

#include <hip_test_common.hh>

typedef struct {
  double x;
  double y;
  double width;
} coordRec;

static coordRec coords[] = {
    {0.0, 0.0, 0.00001},         // All black
};

static unsigned int numCoords = sizeof(coords) / sizeof(coordRec);

__global__ void mandelbrot(uint *out, uint width, float xPos,
                          float yPos, float xStep, float yStep, uint maxIter) {
  int tid = (blockIdx.x * blockDim.x + threadIdx.x);
  int i = tid % width;
  int j = tid / width;
  float x0 = static_cast<float>(xPos + xStep*i);
  float y0 = static_cast<float>(yPos + yStep*j);

  float x = x0;
  float y = y0;

  uint iter = 0;
  float tmp;
  for (iter = 0; (x*x + y*y <= 4.0f) && (iter < maxIter); iter++) {
    tmp = x;
    x = fma(-y, y, fma(x, x, x0));
    y = fma(2.0f*tmp, y, y0);
  }
  out[tid] = iter;
};

class hipPerfDeviceConcurrency {
 public:
  hipPerfDeviceConcurrency();
  ~hipPerfDeviceConcurrency();

  void setNumGpus(unsigned int num) {
    numDevices = num;
  }
  unsigned int getNumGpus() {
    return numDevices;
  }

  void open(void);
  void close(void);
  bool run(unsigned int testCase, int numGpus);

 private:
  void setData(void *ptr, unsigned int value);
  void checkData(uint *ptr);

  unsigned int numDevices;
  unsigned int width_;
  unsigned int bufSize;
  unsigned int coordIdx;
  unsigned long long totalIters = 0;
};

hipPerfDeviceConcurrency::hipPerfDeviceConcurrency() {}

hipPerfDeviceConcurrency::~hipPerfDeviceConcurrency() {}

void hipPerfDeviceConcurrency::open(void) {
  int nGpu = 0;
  HIP_CHECK(hipGetDeviceCount(&nGpu));
  setNumGpus(nGpu);
  if (nGpu < 1) {
    HipTest::HIP_SKIP_TEST("Skipping because devices < 1");
  }
}

void hipPerfDeviceConcurrency::close() {
}

bool hipPerfDeviceConcurrency::run(unsigned int testCase, int numGpus) {
  static int deviceId;
  uint ** hPtr = new uint*[numGpus];
  uint ** dPtr = new uint*[numGpus];
  hipStream_t * streams = new hipStream_t[numGpus];
  int *numCUs = new int[numGpus];
  unsigned int *maxIter = new unsigned int[numGpus];
  unsigned long long *expectedIters = new unsigned long long[numGpus];

  int threads, threads_per_block, blocks;
  float xStep, yStep, xPos, yPos;

  for (int i = 0; i < numGpus; i++) {
    if (testCase != 0) {
      deviceId = i;
    }

    HIP_CHECK(hipSetDevice(deviceId));
    hipDeviceProp_t props;
    HIP_CHECK(hipGetDeviceProperties(&props, i));
    if (testCase != 0) {
    std::cout << "info: running on bus " << "0x" << props.pciBusID
              << " " << props.name << " with " << props.multiProcessorCount
              << " CUs" << " and device ID: " << i << std::endl;
    }

    numCUs[i] = props.multiProcessorCount;
    int clkFrequency = 0;
    HIP_CHECK(hipDeviceGetAttribute(&clkFrequency,
                                    hipDeviceAttributeClockRate, i));
    if (clkFrequency == 0) {
      std::cout << "clkFrequency = 0, set it to 1000000\n";
      clkFrequency = 1000000;
    }
    clkFrequency =(unsigned int)clkFrequency/1000;

    // Maximum iteration count
    // maxIter = 8388608 * (engine_clock / 1000).serial execution
    maxIter[i] = (unsigned int)(((8388608 * ((float)clkFrequency / 1000))
                                              * numCUs[i]) / 128);
    maxIter[i] = (maxIter[i] + 15) & ~15;

    // Width is divisible by 4 because the mandelbrot
    // kernel processes 4 pixels at once.
    width_ = 256;
    bufSize = width_ * width_ * sizeof(uint);
    // Create streams for concurrency
    HIP_CHECK(hipStreamCreate(&streams[i]));

    // Allocate memory on the host and device
    HIP_CHECK(hipHostMalloc(reinterpret_cast<void **>(&hPtr[i]),
                            bufSize, hipHostMallocDefault));
    setData(hPtr[i], 0xdeadbeef);
    HIP_CHECK(hipMalloc(reinterpret_cast<uint **>(&dPtr[i]), bufSize))

    // Prepare kernel launch parameters
    threads = (bufSize/sizeof(uint));
    threads_per_block  = 64;
    blocks = (threads/threads_per_block) + (threads % threads_per_block);

    coordIdx = testCase % numCoords;
    xStep = static_cast<float>(coords[coordIdx].width / static_cast<double>(width_));
    yStep = static_cast<float>(-coords[coordIdx].width / static_cast<double>(width_));
    xPos = static_cast<float>(coords[coordIdx].x - 0.5 * coords[coordIdx].width);
    yPos = static_cast<float>(coords[coordIdx].y + 0.5 * coords[coordIdx].width);

    // Copy memory from host to device
    HIP_CHECK(hipMemcpy(dPtr[i], hPtr[i], bufSize, hipMemcpyHostToDevice));
  }

  // Time the kernel execution
  auto all_start = std::chrono::steady_clock::now();
  for (int i = 0; i < numGpus; i++) {
    if (testCase != 0) {
      deviceId = i;
    }

  HIP_CHECK(hipSetDevice(deviceId));
  hipLaunchKernelGGL(mandelbrot, dim3(blocks), dim3(threads_per_block), 0,
                    streams[i], dPtr[i], width_, xPos, yPos, xStep,
                    yStep, maxIter[i]);
  }
  for (int i = 0; i < numGpus; i++) {
    HIP_CHECK(hipStreamSynchronize(0));
  }

  auto all_end = std::chrono::steady_clock::now();
  std::chrono::duration<double> all_kernel_time = all_end - all_start;

  for(int i = 0; i < numGpus; i++) {
    if(testCase != 0) {
      deviceId = i;
    }
    HIP_CHECK(hipSetDevice(deviceId));

    // Copy data back from device to the host
    HIP_CHECK(hipMemcpy(hPtr[i], dPtr[i], bufSize, hipMemcpyDeviceToHost));
    checkData(hPtr[i]);
    expectedIters[i] = width_ * width_ * (unsigned long long) maxIter[i];
    if (testCase != 0) {
      checkData(hPtr[i]);
      if (totalIters != expectedIters[i]) {
        std::cout << "Incorrect iteration count detected" << std::endl;
      }
    }

    HIP_CHECK(hipStreamDestroy(streams[i]));
    // Free host and device memory
    HIP_CHECK(hipHostFree(hPtr[i]));
    HIP_CHECK(hipFree(dPtr[i]));
  }

  if (testCase != 0) {
  std::cout << '\n' << "Measured time for kernel computation on " << numGpus
            << " device (s): " << all_kernel_time.count() << " (s) "
            << '\n' << std::endl;
  }

  if (testCase == 0) {
    deviceId++;
  }
  delete [] hPtr;
  delete [] dPtr;
  delete [] streams;
  delete [] numCUs;
  delete [] maxIter;
  delete [] expectedIters;
  return true;
}

void hipPerfDeviceConcurrency::setData(void *ptr, unsigned int value) {
  unsigned int *ptr2 = (unsigned int *)ptr;
  for (unsigned int i = 0; i < width_ * width_ ; i++) {
      ptr2[i] = value;
  }
}

void hipPerfDeviceConcurrency::checkData(uint *ptr) {
  totalIters = 0;
  for (unsigned int i = 0; i < width_ * width_; i++) {
    totalIters += ptr[i];
  }
}

/**
* Test Description
* ------------------------
*  - Verify the different levels of device concurrency.
* Test source
* ------------------------
*  - perftests/stream/hipPerfDeviceConcurrency.cc
* Test requirements
* ------------------------
*  - HIP_VERSION >= 5.6
*/

TEST_CASE("Perf_hipPerfDeviceConcurrency") {
  hipPerfDeviceConcurrency deviceConcurrency;
  deviceConcurrency.open();
  int nGpu = deviceConcurrency.getNumGpus();

  // testCase = 0 refers to warmup kernel run
  int testCase = 0;
  for (int i = 0; i < nGpu; i++) {
    // Warm-up kernel on all devices
    REQUIRE(true == deviceConcurrency.run(testCase, 1));
  }

  // Time for kernel on 1 device
  REQUIRE(true == deviceConcurrency.run(++testCase, 1));

  // Time for kernel on all available devices
  REQUIRE(true == deviceConcurrency.run(++testCase, nGpu));
}

/**
* End doxygen group perfStreamTest.
* @}
*/