refector: Rename last year experimental

Signed-off-by: KunoiSayami <[email protected]>

1 files changed, 0 insertions, 290 deletions

diff --git a/expt_0830.cu b/expt_0830.cu
deleted file mode 100644
index fc05092..0000000
--- a/expt_0830.cu
+++ /dev/null
@@ -1,290 +0,0 @@
-#define ENABLE_SORT_TEST
-#define SORT_FIRST_VERSION
-#include "sortlib.cuh"
-
-#include <algorithm>
-#include <cassert>
-#include <cstdio>
-#include <vector>
-
-std::vector<unsigned long long> population_vector, sample_vector;
-
-constexpr size_t SAMPLE_LENGTH = 1023;
-constexpr size_t TEST_LENGTH = 32'768;
-// constexpr size_t TEST_LENGTH = 4096;
-constexpr size_t RESERVED_BLOCK = 10'000;
-
-unsigned long long max_value = 0, min_value = 0xfffffffff;
-typedef std::pair<int, int> dim_pair_type;
-
-inline void store_into_vector(unsigned long long value) {
-  if (max_value < value) {
-    max_value = value;
-  }
-  if (min_value > value) {
-    min_value = value;
-  }
-  population_vector.push_back(value);
-}
-// #define TEST_BOUNDS
-
-__device__ key_type *cudaSampleItem, *cudaPopulationItem;
-__device__ bool *cdf_result;
-#ifdef TEST_BOUNDS
-__device__ unsigned insert_value;
-__device__ unsigned int index_max, index_min;
-#endif
-
-__global__ void initSample(key_type *sample, key_type *population) {
-  cudaSampleItem = sample;
-  cudaPopulationItem = population;
-  // cudaMalloc(&cdf_result, sizeof(bool) * TEST_LENGTH);
-  cdf_result = nullptr;
-#ifdef TEST_BOUNDS
-  index_max = 0;
-  index_min = 0x7fffffff;
-#endif
-}
-
-__global__ void kernel(unsigned long step, const double slice_size,
-                       const unsigned long split_size) {
-  auto custom_sort = CustomSort(SAMPLE_LENGTH, sizeof(key_type) * 8);
-  // printf("kernel1 step: %ld\n", step);
-  for (int i = 0; i < step; i++) {
-    auto tid = step * (blockIdx.x * blockDim.x + threadIdx.x) + i;
-
-    // printf("%d\n", tid);
-    auto index = (int)(custom_sort.sample_cdf_custom_version(
-                           cudaSampleItem, cudaPopulationItem[tid]) /
-                       slice_size) -
-                 1;
-    // printf("%llu %d\n", cudaPopulationItem[tid], index);
-    /*if (cdf_result[index]) {
-      while (cdf_result[++index]) {
-        if (index >= split_size) {
-          //printf("escape: %llu %lu\n", cudaPopulationItem[tid], split_size);
-        }
-        assert(index < (split_size + RESERVED_BLOCK));
-      }
-    }*/
-    cdf_result[index] = true;
-  }
-}
-
-__global__ void kernel2_real_binary(unsigned long step, const double slice_size,
-                                    const unsigned long split_size) {
-  auto custom_sort = CustomSort(SAMPLE_LENGTH, sizeof(key_type) * 8);
-  // printf("%d\n", custom_sort.MOVE_OFFSET);
-  //  printf("kernel2\n");
-
-  for (int i = 0; i < step; i++) {
-    auto tid = step * (blockIdx.x * blockDim.x + threadIdx.x) + i;
-    // printf("%lu ", tid);
-
-    // assert(tid < TEST_LENGTH);
-    auto index = (int)(custom_sort.sample_cdf(cudaSampleItem,
-                                              cudaSampleItem + SAMPLE_LENGTH,
-                                              cudaPopulationItem[tid]) /
-                       slice_size);
-    // printf("%llu %d\n", cudaPopulationItem[tid], index);
-    /*if (cdf_result[index]) {
-      while (cdf_result[++index]) {
-        assert(index < split_size);
-      }
-    }*/
-    cdf_result[index] = true;
-#ifdef TEST_BOUNDS
-    atomicAdd(&insert_value, 1);
-
-    while (true) {
-      unsigned tmp = index_min;
-      if (tmp < tid) {
-        break;
-      }
-      if (atomicCAS(&index_min, tmp, tid) == tmp) {
-        break;
-      }
-    }
-    while (true) {
-      unsigned tmp = index_max;
-      if (tmp > tid) {
-        break;
-      }
-      if (atomicCAS(&index_max, tmp, tid) == tmp) {
-        break;
-      }
-    }
-#endif
-  }
-}
-
-__global__ void print2() {
-  /*for (int i = 0; i< SAMPLE_LENGTH; i++) {
-    printf("%llu ", cudaSampleItem[i]);
-  }
-  printf("\n");*/
-  printf("%lu\n", CustomSort::fast_log(SAMPLE_LENGTH));
-}
-
-__global__ void print_function() {
-#ifdef TEST_BOUNDS
-  printf("%u\n", insert_value);
-  printf("%u %u\n", index_min, index_max);
-#endif
-}
-
-__global__ void initStorage(unsigned scale, unsigned test_size) {
-  cudaFree(cdf_result);
-  // printf("test size: %u\n", test_size);
-  cudaMalloc(&cdf_result, (scale * test_size + RESERVED_BLOCK) * sizeof(bool));
-  memset(cdf_result, 0, (scale * test_size + RESERVED_BLOCK) * sizeof(bool));
-}
-
-__global__ void freeStorage() {
-  cudaFree(cudaSampleItem);
-  cudaFree(cudaPopulationItem);
-  cudaFree(cdf_result);
-}
-
-__global__ void initCustomSample() {
-  // printf("init\n");
-  key_type *tmp = nullptr;
-  auto custom_sort = CustomSort(SAMPLE_LENGTH, 0);
-  cudaMalloc(&tmp, sizeof(key_type) * SAMPLE_LENGTH);
-  for (size_t i = 0; i < SAMPLE_LENGTH; i++) {
-    tmp[i] = cudaSampleItem[custom_sort.calculate_index(i) - 1];
-  }
-  // printf("copy\n");
-  memcpy(cudaSampleItem, tmp, sizeof(key_type) * SAMPLE_LENGTH);
-  cudaFree(tmp);
-  tmp = nullptr;
-  // memset(cdf_result, 0, sizeof(key_type) * TEST_LENGTH);
-  cudaFree(cdf_result);
-  cdf_result = nullptr;
-  // printf("finalize\n");
-}
-
-const dim_pair_type DIM_PAIR[] = {dim_pair_type(16, 64), dim_pair_type(32, 32)};
-
-void run_kernel(size_t test_size, bool custom = false) {
-  for (auto &pair : DIM_PAIR) {
-    dim3 grid_dim = pair.first, block_dim = pair.second;
-    unsigned long step = test_size / (grid_dim.x * block_dim.x);
-    printf("%scurrent dim: %d %d %lu\n", custom ? "custom " : "", pair.first,
-           pair.second, step);
-    for (int scale = 2; scale <= 16; scale += 2) {
-      const unsigned long split_size = test_size * scale;
-      const auto slice_size = 1.0 / (double)split_size;
-      printf("scale: %i ", scale);
-      initStorage<<<1, 1>>>(scale, test_size);
-      cudaDeviceSynchronize();
-      cudaEvent_t start, stop;
-      cudaEventCreate(&start);
-      cudaEventCreate(&stop);
-      cudaEventRecord(start, nullptr);
-      if (custom)
-        kernel<<<grid_dim, block_dim>>>(step, slice_size, split_size);
-      else
-        kernel2_real_binary<<<grid_dim, block_dim>>>(step, slice_size,
-                                                     split_size);
-      cudaDeviceSynchronize();
-      cudaEventRecord(stop, nullptr);
-      cudaEventSynchronize(stop);
-      float time;
-      cudaEventElapsedTime(&time, start, stop);
-      cudaEventDestroy(start);
-      cudaEventDestroy(stop);
-      if (time == 0) {
-        // printf("last error: %u\n", cudaGetLastError());
-      }
-      printf("time: %lf\n", time);
-
-      print_function<<<1, 1>>>();
-      cudaDeviceSynchronize();
-    }
-  }
-}
-
-int main() {
-
-  auto test_size = TEST_LENGTH;
-  FILE *file = fopen("normal_distribution.txt", "r");
-  assert(file);
-  for (long long i; fscanf(file, "%lld ", &i) != EOF; store_into_vector(i))
-    ;
-  fclose(file);
-
-  printf("test size: %d\n", test_size);
-  sample_vector = std::vector<key_type>(
-      population_vector.begin(), population_vector.begin() + SAMPLE_LENGTH - 2);
-  sample_vector.push_back(min_value);
-  sample_vector.push_back(max_value);
-  std::sort(sample_vector.begin(), sample_vector.end());
-
-  key_type *cudaSample = nullptr, *cudaPopulation;
-  cudaMalloc(&cudaSample, sizeof(key_type) * SAMPLE_LENGTH);
-  assert(SAMPLE_LENGTH == sample_vector.size());
-  cudaMemcpy(cudaSample, sample_vector.data(), sizeof(key_type) * SAMPLE_LENGTH,
-             cudaMemcpyHostToDevice);
-  cudaMalloc(&cudaPopulation, sizeof(key_type) * test_size);
-  cudaMemcpy(cudaPopulation, population_vector.data() + SAMPLE_LENGTH,
-             sizeof(key_type) * test_size, cudaMemcpyHostToDevice);
-
-  // auto custom_sort = CustomSort(SAMPLE_LENGTH, sizeof(long) * 8);
-  // custom_sort.testCalculation();
-  testCustomCalculation<<<1, 1>>>(SAMPLE_LENGTH);
-  cudaDeviceSynchronize();
-
-  initSample<<<1, 1>>>(cudaSample, cudaPopulation);
-  cudaDeviceSynchronize();
-  run_kernel(test_size);
-
-  initCustomSample<<<1, 1>>>();
-  cudaDeviceSynchronize();
-
-  run_kernel(test_size, true);
-  freeStorage<<<1, 1>>>();
-  cudaDeviceSynchronize();
-}
-
-/*
- * Sample output:
-test size: 32768
-current dim: 16 64 32
-scale: 2 time: 0.100352
-scale: 4 time: 0.102176
-scale: 6 time: 0.104448
-scale: 8 time: 0.100352
-scale: 10 time: 0.100512
-scale: 12 time: 0.104384
-scale: 14 time: 0.101152
-scale: 16 time: 0.099232
-current dim: 32 32 32
-scale: 2 time: 0.099168
-scale: 4 time: 0.101376
-scale: 6 time: 0.106496
-scale: 8 time: 0.099584
-scale: 10 time: 0.111616
-scale: 12 time: 0.106464
-scale: 14 time: 0.100352
-scale: 16 time: 0.108544
-custom current dim: 16 64 32
-scale: 2 time: 0.113664
-scale: 4 time: 0.112512
-scale: 6 time: 0.115712
-scale: 8 time: 0.114720
-scale: 10 time: 0.107232
-scale: 12 time: 0.109568
-scale: 14 time: 0.107328
-scale: 16 time: 0.107520
-custom current dim: 32 32 32
-scale: 2 time: 0.106496
-scale: 4 time: 0.106368
-scale: 6 time: 0.108384
-scale: 8 time: 0.108384
-scale: 10 time: 0.109792
-scale: 12 time: 0.112704
-scale: 14 time: 0.108672
-scale: 16 time: 0.122848
-
- */
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