Istvan Kiss
197f73dac9
* Add examples to tools folder * Correct P2P memory access section * Sync poriting guide * Add HIP Graph tutorial * Add hint about using amdgpu-dkms for IPC API * Add a few more env variables
90 行
3.4 KiB
Plaintext
90 行
3.4 KiB
Plaintext
// MIT License
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//
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// Copyright (c) 2025 Advanced Micro Devices, Inc. All rights reserved.
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//
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// Permission is hereby granted, free of charge, to any person obtaining a copy
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// of this software and associated documentation files (the "Software"), to deal
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// in the Software without restriction, including without limitation the rights
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// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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// copies of the Software, and to permit persons to whom the Software is
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// furnished to do so, subject to the following conditions:
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//
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// The above copyright notice and this permission notice shall be included in all
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// copies or substantial portions of the Software.
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//
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// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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// SOFTWARE.
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// [sphinx-start]
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#include <hip/hip_runtime.h>
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#include <iostream>
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#define HIP_CHECK(expression) \
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{ \
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const hipError_t err = expression; \
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if(err != hipSuccess) \
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{ \
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std::cerr << "HIP error: " << hipGetErrorString(err) \
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<< " at " << __LINE__ << "\n"; \
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} \
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}
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// Performs a simple initialization of an array with the thread's index variables.
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// This function is only available in device code.
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__device__ void init_array(float * const a, const unsigned int arraySize)
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{
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// globalIdx uniquely identifies a thread in a 1D launch configuration.
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const int globalIdx = threadIdx.x + blockIdx.x * blockDim.x;
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// Each thread initializes a single element of the array.
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if(globalIdx < arraySize)
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{
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a[globalIdx] = globalIdx;
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}
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}
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// Rounds a value up to the next multiple.
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// This function is available in host and device code.
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__host__ __device__ constexpr int round_up_to_nearest_multiple(int number, int multiple)
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{
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return (number + multiple - 1)/multiple;
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}
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__global__ void example_kernel(float * const a, const unsigned int N)
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{
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// Initialize array.
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init_array(a, N);
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// Perform additional work:
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// - work with the array
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// - use the array in a different kernel
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// - ...
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}
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int main()
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{
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constexpr int N = 100000000; // problem size
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constexpr int blockSize = 256; //configurable block size
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//needed number of blocks for the given problem size
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constexpr int gridSize = round_up_to_nearest_multiple(N, blockSize);
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float *a;
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// allocate memory on the GPU
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HIP_CHECK(hipMalloc(&a, sizeof(*a) * N));
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std::cout << "Launching kernel." << std::endl;
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example_kernel<<<dim3(gridSize), dim3(blockSize), 0/*example doesn't use shared memory*/, 0/*default stream*/>>>(a, N);
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// make sure kernel execution is finished by synchronizing. The CPU can also
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// execute other instructions during that time
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HIP_CHECK(hipDeviceSynchronize());
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std::cout << "Kernel execution finished." << std::endl;
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HIP_CHECK(hipFree(a));
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}
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// [sphinx-end]
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