Rahul Garg
40 lines
1.7 KiB
C++
Executable File
40 lines
1.7 KiB
C++
Executable File
/*
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Copyright (c) 2019 - present Advanced Micro Devices, Inc. All rights reserved.
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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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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANNTY OF ANY KIND, EXPRESS OR
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IMPLIED, INNCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANNY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER INN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR INN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#include"hip/hip_runtime.h"
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extern "C" __global__ void matmulK(int* A, int* B, int* C, int N) {
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int ROW = blockIdx.y*blockDim.y+threadIdx.y;
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int COL = blockIdx.x*blockDim.x+threadIdx.x;
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int tmpSum = 0;
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if (ROW < N && COL < N) {
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// each thread computes one element of the block sub-matrix
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for (int i = 0; i < N; i++) {
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tmpSum += A[ROW * N + i] * B[i * N + COL];
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}
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}
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C[ROW * N + COL] =tmpSum;
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}
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extern "C" __global__ void WaitKernel() {
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unsigned long long int wait_t=32000000000,start=clock64(),cur;
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do{cur=clock64()-start;}
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while(cur<wait_t);
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}
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