Jaydeep Patel
81 satır
2.7 KiB
C++
81 satır
2.7 KiB
C++
/*
|
|
Copyright (c) 2024 Advanced Micro Devices, Inc. All rights reserved.
|
|
Permission is hereby granted, free of charge, to any person obtaining a copy
|
|
of this software and associated documentation files (the "Software"), to deal
|
|
in the Software without restriction, including without limitation the rights
|
|
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
|
copies of the Software, and to permit persons to whom the Software is
|
|
furnished to do so, subject to the following conditions:
|
|
The above copyright notice and this permission notice shall be included in
|
|
all copies or substantial portions of the Software.
|
|
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANNTY OF ANY KIND, EXPRESS OR
|
|
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
FITNNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
|
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
LIABILITY, WHETHER INN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
|
OUT OF OR INN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
|
|
THE SOFTWARE.
|
|
*/
|
|
#include"hip/hip_runtime.h"
|
|
__device__ int deviceGlobal = 1;
|
|
|
|
extern "C" __global__ void matmulK(int clockrate, int* A, int* B, int* C,
|
|
int N) {
|
|
int ROW = blockIdx.y * blockDim.y + threadIdx.y;
|
|
int COL = blockIdx.x * blockDim.x + threadIdx.x;
|
|
int tmpSum = 0;
|
|
if ((ROW < N) && (COL < N)) {
|
|
// each thread computes one element of the block sub-matrix
|
|
for (int i = 0; i < N; i++) {
|
|
tmpSum += A[ROW * N + i] * B[i * N + COL];
|
|
}
|
|
C[ROW * N + COL] = tmpSum;
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void KernelandExtraParams(int* A, int* B, int* C,
|
|
int *D, int N) {
|
|
int ROW = blockIdx.y * blockDim.y + threadIdx.y;
|
|
int COL = blockIdx.x * blockDim.x + threadIdx.x;
|
|
int tmpSum = 0;
|
|
if (ROW < N && COL < N) {
|
|
// each thread computes one element of the block sub-matrix
|
|
for (int i = 0; i < N; i++) {
|
|
tmpSum += A[ROW * N + i] * B[i * N + COL];
|
|
}
|
|
}
|
|
C[ROW * N + COL] = tmpSum;
|
|
D[ROW * N + COL] = tmpSum;
|
|
}
|
|
|
|
__device__ void Delay(uint32_t interval, const uint32_t ticks_per_ms) {
|
|
while (interval--) {
|
|
#if HT_AMD
|
|
uint64_t start = wall_clock64();
|
|
while (wall_clock64() - start < ticks_per_ms) {
|
|
__builtin_amdgcn_s_sleep(10);
|
|
}
|
|
#endif
|
|
#if HT_NVIDIA
|
|
uint64_t start = clock64();
|
|
while (clock64() - start < ticks_per_ms) {
|
|
}
|
|
#endif
|
|
}
|
|
}
|
|
|
|
extern "C" __global__ void SixteenSecKernel(int clockrate) {
|
|
Delay(16000, clockrate);
|
|
}
|
|
|
|
extern "C" __global__ void TwoSecKernel(int clockrate) {
|
|
Delay(2000, clockrate);
|
|
}
|
|
|
|
extern "C" __global__ void FourSecKernel(int clockrate) {
|
|
Delay(4000, clockrate);
|
|
}
|
|
|
|
extern "C" __global__ void dummyKernel() {
|
|
}
|