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78 lines
2.2 KiB
C++
78 lines
2.2 KiB
C++
#include "test_framework.hpp"
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#include <vector>
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// SALU-heavy kernel: Scalar operations
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// Targets SQ_INSTS_SALU counter
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__global__ void salu_heavy_kernel(int* output, const int* input, int iterations) {
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int idx = blockIdx.x * blockDim.x + threadIdx.x;
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// Scalar operations using __lane_id() and wave-uniform values
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int lane = __lane_id();
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int scalar_val = blockIdx.x; // Scalar uniform across wavefront
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int result = input[idx];
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// Perform many scalar operations
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#pragma unroll 4
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for (int i = 0; i < iterations; i++) {
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// Scalar ALU operations
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scalar_val = scalar_val + 1;
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scalar_val = scalar_val << 1;
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scalar_val = scalar_val ^ 0xABCD;
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scalar_val = scalar_val >> 1;
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scalar_val = scalar_val & 0xFFFF;
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scalar_val = scalar_val | 0x1000;
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// Use scalar value with vector
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result += scalar_val;
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}
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output[idx] = result + lane;
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}
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class SALUHeavyTest : public test_framework::TestBase {
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public:
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SALUHeavyTest() : TestBase("SALU Heavy - Scalar Operations") {}
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bool setup() override {
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size_ = 1024 * 1024; // 1M elements
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iterations_ = 1000;
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// Allocate device memory
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d_input_ = hip_utils::allocateDeviceWithValue<int>(size_, 1);
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d_output_ = hip_utils::allocateDevice<int>(size_);
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std::cout << " Array size: " << size_ << " elements" << std::endl;
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std::cout << " Iterations per thread: " << iterations_ << std::endl;
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std::cout << " Total SALU operations: " << (size_ * iterations_ * 6) << std::endl;
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return true;
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}
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bool execute() override {
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dim3 block_size(256);
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dim3 grid_size((size_ + block_size.x - 1) / block_size.x);
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test_framework::KernelRunner runner("salu_heavy_kernel", grid_size, block_size);
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runner.launch(salu_heavy_kernel, d_output_, d_input_, iterations_);
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return true;
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}
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void cleanup() override {
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hip_utils::freeDevice(d_input_);
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hip_utils::freeDevice(d_output_);
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}
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private:
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int* d_input_ = nullptr;
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int* d_output_ = nullptr;
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size_t size_;
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int iterations_;
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};
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int main() {
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SALUHeavyTest test;
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return test.run();
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}
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