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kaktoos.cu
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kaktoos.cu
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#include <cstdint>
#include <memory.h>
#include <cstdio>
#include <ctime>
#include <thread>
#include <vector>
#include <mutex>
#include <chrono>
#define RANDOM_MULTIPLIER 0x5DEECE66DULL
#define RANDOM_ADDEND 0xBULL
#define RANDOM_MASK ((1ULL << 48ULL) - 1ULL)
#ifndef FLOOR_LEVEL
#define FLOOR_LEVEL 63LL
#endif
#ifndef WANTED_CACTUS_HEIGHT
#define WANTED_CACTUS_HEIGHT 8ULL
#endif
#ifndef WORK_UNIT_SIZE
#define WORK_UNIT_SIZE (1ULL << 23ULL)
#endif
#ifndef WORK_RANDOM_SIZE
#define WORK_RANDOM_SIZE (WORK_UNIT_SIZE + 1000)
#endif
#ifndef BLOCK_SIZE
#define BLOCK_SIZE 1024ULL
#endif
#ifndef GPU_COUNT
#define GPU_COUNT 1ULL
#endif
#ifndef OFFSET
#define OFFSET 0
#endif
#ifndef END
#define END (1ULL << 48ULL)
#endif
__device__ inline int8_t extract(const int8_t heightMap[], uint32_t i) {
return (int8_t) (heightMap[i >> 1ULL] >> ((i & 1ULL) << 2ULL)) & 0xF;
}
__device__ inline void increase(int8_t heightMap[], uint32_t i) {
heightMap[i >> 1ULL] += 1ULL << ((i & 1ULL) << 2ULL);
}
namespace java_random {
// Random::next(bits)
__device__ inline uint32_t next(uint64_t *random, size_t *i, int32_t bits) {
return (uint32_t) (random[++*i] >> (48ULL - bits));
}
__device__ inline int32_t next_int_unknown(uint64_t *random, size_t *i, int16_t bound) {
if ((bound & -bound) == bound) {
return (int32_t) ((bound * (random[++*i] >> 17ULL)) >> 31ULL);
}
int32_t bits, value;
do {
bits = random[++*i] >> 17ULL;
value = bits % bound;
} while (bits - value + (bound - 1) < 0);
return value;
}
// Random::nextInt(bound)
__device__ inline uint32_t next_int(uint64_t *random, size_t *i) {
return java_random::next(random, i, 31) % 3;
}
}
struct rand_params {
uint64_t multiplier;
uint64_t addend;
};
__host__ uint64_t get_start_seed(uint64_t offset) {
uint64_t seed = 0;
uint64_t i = 0;
for (; i + 1024 * 1024 <= offset; i += 1024 * 1024) {
seed = (seed * 280364631195649ULL + 215216710221824ULL) & RANDOM_MASK;
}
for (; i < offset; i++) {
seed = (seed * RANDOM_MULTIPLIER + RANDOM_ADDEND) & RANDOM_MASK;
}
return seed;
}
__host__ void gen_rand_params(rand_params *rp, size_t n) {
rp[0].multiplier = 1;
rp[0].addend = 0;
for (size_t i = 1; i < n; i++) {
rp[i].multiplier = (rp[i - 1].multiplier * RANDOM_MULTIPLIER) & RANDOM_MASK;
rp[i].addend = (rp[i - 1].addend * RANDOM_MULTIPLIER + RANDOM_ADDEND) & RANDOM_MASK;
}
}
// TODO: generate low bits seperately so crack() only has to index 32 bit values, ~3% speed improvement
__global__ __launch_bounds__(BLOCK_SIZE, 2) void init(rand_params *rp, uint64_t *random, uint64_t seed, uint64_t m, uint64_t a) {
size_t index = blockIdx.x * blockDim.x + threadIdx.x;
size_t stride = blockDim.x * gridDim.x;
seed = (seed * rp[index].multiplier + rp[index].addend) & RANDOM_MASK;
random[index] = seed;
for (size_t i = index + stride; i < WORK_RANDOM_SIZE; i += stride) {
seed = (seed * m + a) & RANDOM_MASK;
random[i] = seed;
}
}
__global__ __launch_bounds__(BLOCK_SIZE, 2) void crack(uint64_t *random, int32_t *num_seeds, uint64_t *seeds) {
size_t seedIndex = blockIdx.x * blockDim.x + threadIdx.x;
uint64_t originalSeed = random[seedIndex];
int8_t heightMap[512];
#pragma unroll
for (int i = 0; i < 512; i++) {
heightMap[i] = 0;
}
int16_t currentHighestPos = 0;
int16_t terrainHeight;
int16_t initialPosX, initialPosY, initialPosZ;
int16_t posX, posY, posZ;
int16_t offset, posMap;
int16_t i, a, j;
for (i = 0; i < 10; i++) {
// Keep, most threads finish early this way
if (WANTED_CACTUS_HEIGHT - extract(heightMap, currentHighestPos) > 9 * (10 - i))
return;
initialPosX = java_random::next(random, &seedIndex, 4) + 8;
initialPosZ = java_random::next(random, &seedIndex, 4) + 8;
terrainHeight = (extract(heightMap, initialPosX + initialPosZ * 32) + FLOOR_LEVEL + 1) * 2;
initialPosY = java_random::next_int_unknown(random, &seedIndex, terrainHeight);
for (a = 0; a < 10; a++) {
posX = initialPosX + java_random::next(random, &seedIndex, 3) - java_random::next(random, &seedIndex, 3);
posY = initialPosY + java_random::next(random, &seedIndex, 2) - java_random::next(random, &seedIndex, 2);
posZ = initialPosZ + java_random::next(random, &seedIndex, 3) - java_random::next(random, &seedIndex, 3);
posMap = posX + posZ * 32;
// Keep
if (posY <= extract(heightMap, posMap) + FLOOR_LEVEL && posY >= 0)
continue;
offset = 1 + java_random::next_int_unknown(random, &seedIndex, java_random::next_int(random, &seedIndex) + 1);
for (j = 0; j < offset; j++) {
if ((posY + j - 1) > extract(heightMap, posMap) + FLOOR_LEVEL || posY < 0) continue;
if ((posY + j) <= extract(heightMap, (posX + 1) + posZ * 32) + FLOOR_LEVEL && posY >= 0) continue;
if ((posY + j) <= extract(heightMap, posX + (posZ - 1) * 32) + FLOOR_LEVEL && posY >= 0) continue;
if ((posY + j) <= extract(heightMap, (posX - 1) + posZ * 32) + FLOOR_LEVEL && posY >= 0) continue;
if ((posY + j) <= extract(heightMap, posX + (posZ + 1) * 32) + FLOOR_LEVEL && posY >= 0) continue;
increase(heightMap, posMap);
if (extract(heightMap, currentHighestPos) < extract(heightMap, posMap)) {
currentHighestPos = posMap;
}
}
}
if (extract(heightMap, currentHighestPos) >= WANTED_CACTUS_HEIGHT) {
seeds[atomicAdd(num_seeds, 1)] = originalSeed;
return;
}
}
}
struct GPU_Node {
int *num_seeds;
uint64_t *seeds;
uint64_t *random;
rand_params *rp;
};
void setup_gpu_node(GPU_Node *node, int32_t gpu) {
cudaSetDevice(gpu);
cudaMallocManaged(&node->num_seeds, sizeof(*node->num_seeds));
cudaMallocManaged(&node->seeds, 1ULL << 10ULL);
cudaMallocManaged(&node->random, WORK_RANDOM_SIZE * sizeof(*node->random));
cudaMallocManaged(&node->rp, WORK_RANDOM_SIZE * sizeof(*node->rp));
}
GPU_Node nodes[GPU_COUNT];
uint64_t offset = OFFSET;
uint64_t seed = get_start_seed(OFFSET);
uint64_t count = 0;
std::mutex info_lock;
std::vector<uint64_t> seeds;
rand_params *rp;
void gpu_manager(int32_t gpu_index) {
std::string fileName = "kaktoos_seeds" + std::to_string(gpu_index) + ".txt";
FILE *out_file = fopen(fileName.c_str(), "w");
cudaSetDevice(gpu_index);
for (size_t i = 0; i < WORK_RANDOM_SIZE; i++)
nodes[gpu_index].rp[i] = rp[i];
while (offset < END) {
*nodes[gpu_index].num_seeds = 0;
uint64_t m = rp[WORK_UNIT_SIZE].multiplier, a = rp[WORK_UNIT_SIZE].addend;
init<<<WORK_UNIT_SIZE / BLOCK_SIZE, BLOCK_SIZE, 0>>>(nodes[gpu_index].rp, nodes[gpu_index].random, seed, m, a);
info_lock.lock();
seed = (seed * m + a) & RANDOM_MASK;
offset += WORK_UNIT_SIZE;
info_lock.unlock();
cudaDeviceSynchronize();
crack<<<WORK_UNIT_SIZE / BLOCK_SIZE, BLOCK_SIZE, 0>>>(nodes[gpu_index].random, nodes[gpu_index].num_seeds, nodes[gpu_index].seeds);
cudaDeviceSynchronize();
for (int32_t i = 0, e = *nodes[gpu_index].num_seeds; i < e; i++) {
fprintf(out_file, "%lld\n", (long long int) nodes[gpu_index].seeds[i]);
seeds.push_back(nodes[gpu_index].seeds[i]);
}
fflush(out_file);
info_lock.lock();
count += *nodes[gpu_index].num_seeds;
info_lock.unlock();
}
fclose(out_file);
}
int main() {
printf("Searching %ld total seeds...\n", (long int) (END - OFFSET));
rp = new rand_params[WORK_RANDOM_SIZE];
gen_rand_params(rp, WORK_RANDOM_SIZE);
std::thread threads[GPU_COUNT];
time_t startTime = time(nullptr), currentTime;
for (int32_t i = 0; i < GPU_COUNT; i++) {
setup_gpu_node(&nodes[i], i);
threads[i] = std::thread(gpu_manager, i);
}
using namespace std::chrono_literals;
while (offset < END) {
time(¤tTime);
int timeElapsed = (int) (currentTime - startTime);
double speed = (double) (offset - OFFSET) / (double) timeElapsed / 1000000.0;
printf("Searched %lld seeds, offset: %lld found %lld matches. Time elapsed: %ds. Speed: %.2fm seeds/s. %f%%\n",
(long long int) (offset - OFFSET),
(long long int) offset,
(long long int) count,
timeElapsed,
speed,
(double) (offset - OFFSET) / (END - OFFSET) * 100);
if (timeElapsed % 2000 == 0) {
printf("Backup seed list:\n");
for (auto &seed : seeds) {
printf("%llu\n", (unsigned long long) seed);
}
}
std::this_thread::sleep_for(1s);
}
for (auto &thread : threads) {
thread.join();
}
printf("Done!\n");
printf("But, verily, it be the nature of dreams to end.\n");
}