Files
bee/iso/builder/bee-gpu-stress-cuda.inc

357 lines
12 KiB
C++

static int load_symbol(void *lib, const char *name, void **out) {
*out = dlsym(lib, name);
return *out != NULL;
}
static int load_cuda(struct cuda_api *api) {
memset(api, 0, sizeof(*api));
api->lib = dlopen("libcuda.so.1", RTLD_NOW | RTLD_LOCAL);
if (!api->lib) {
return 0;
}
if (!(
load_symbol(api->lib, "cuInit", (void **)&api->cuInit) &&
load_symbol(api->lib, "cuDeviceGetCount", (void **)&api->cuDeviceGetCount) &&
load_symbol(api->lib, "cuDeviceGet", (void **)&api->cuDeviceGet) &&
load_symbol(api->lib, "cuDeviceGetName", (void **)&api->cuDeviceGetName) &&
load_symbol(api->lib, "cuDeviceGetAttribute", (void **)&api->cuDeviceGetAttribute) &&
load_symbol(api->lib, "cuCtxCreate_v2", (void **)&api->cuCtxCreate) &&
load_symbol(api->lib, "cuCtxDestroy_v2", (void **)&api->cuCtxDestroy) &&
load_symbol(api->lib, "cuCtxSynchronize", (void **)&api->cuCtxSynchronize) &&
load_symbol(api->lib, "cuMemAlloc_v2", (void **)&api->cuMemAlloc) &&
load_symbol(api->lib, "cuMemFree_v2", (void **)&api->cuMemFree) &&
load_symbol(api->lib, "cuMemsetD8_v2", (void **)&api->cuMemsetD8) &&
load_symbol(api->lib, "cuMemcpyHtoD_v2", (void **)&api->cuMemcpyHtoD) &&
load_symbol(api->lib, "cuMemcpyDtoH_v2", (void **)&api->cuMemcpyDtoH) &&
load_symbol(api->lib, "cuModuleLoadDataEx", (void **)&api->cuModuleLoadDataEx) &&
load_symbol(api->lib, "cuModuleGetFunction", (void **)&api->cuModuleGetFunction) &&
load_symbol(api->lib, "cuLaunchKernel", (void **)&api->cuLaunchKernel))) {
dlclose(api->lib);
memset(api, 0, sizeof(*api));
return 0;
}
load_symbol(api->lib, "cuMemGetInfo_v2", (void **)&api->cuMemGetInfo);
load_symbol(api->lib, "cuStreamCreate", (void **)&api->cuStreamCreate);
if (!load_symbol(api->lib, "cuStreamDestroy_v2", (void **)&api->cuStreamDestroy)) {
load_symbol(api->lib, "cuStreamDestroy", (void **)&api->cuStreamDestroy);
}
return 1;
}
static const char *cu_error_name(struct cuda_api *api, CUresult rc) {
const char *value = NULL;
if (api->cuGetErrorName && api->cuGetErrorName(rc, &value) == CU_SUCCESS && value) {
return value;
}
return "CUDA_ERROR";
}
static const char *cu_error_string(struct cuda_api *api, CUresult rc) {
const char *value = NULL;
if (api->cuGetErrorString && api->cuGetErrorString(rc, &value) == CU_SUCCESS && value) {
return value;
}
return "unknown";
}
static int check_rc(struct cuda_api *api, const char *step, CUresult rc) {
if (rc == CU_SUCCESS) {
return 1;
}
fprintf(stderr, "%s failed: %s (%s)\n", step, cu_error_name(api, rc), cu_error_string(api, rc));
return 0;
}
static double now_seconds(void) {
struct timespec ts;
clock_gettime(CLOCK_MONOTONIC, &ts);
return (double)ts.tv_sec + ((double)ts.tv_nsec / 1000000000.0);
}
static size_t round_down_size(size_t value, size_t multiple) {
if (multiple == 0 || value < multiple) {
return value;
}
return value - (value % multiple);
}
static int query_compute_capability(struct cuda_api *api, CUdevice dev, int *major, int *minor) {
int cc_major = 0;
int cc_minor = 0;
if (!check_rc(api,
"cuDeviceGetAttribute(major)",
api->cuDeviceGetAttribute(&cc_major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, dev))) {
return 0;
}
if (!check_rc(api,
"cuDeviceGetAttribute(minor)",
api->cuDeviceGetAttribute(&cc_minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, dev))) {
return 0;
}
*major = cc_major;
*minor = cc_minor;
return 1;
}
static int query_multiprocessor_count(struct cuda_api *api, CUdevice dev, int *count) {
int mp_count = 0;
if (!check_rc(api,
"cuDeviceGetAttribute(multiprocessors)",
api->cuDeviceGetAttribute(&mp_count, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, dev))) {
return 0;
}
*count = mp_count;
return 1;
}
static size_t clamp_budget_to_free_memory(struct cuda_api *api, size_t requested_bytes) {
size_t free_bytes = 0;
size_t total_bytes = 0;
size_t max_bytes = requested_bytes;
if (!api->cuMemGetInfo) {
return requested_bytes;
}
if (api->cuMemGetInfo(&free_bytes, &total_bytes) != CU_SUCCESS || free_bytes == 0) {
return requested_bytes;
}
max_bytes = (free_bytes * 9u) / 10u;
if (max_bytes < (size_t)4u * 1024u * 1024u) {
max_bytes = (size_t)4u * 1024u * 1024u;
}
if (requested_bytes > max_bytes) {
return max_bytes;
}
return requested_bytes;
}
static int choose_stream_count(int mp_count, int planned_profiles, size_t total_budget, int have_streams) {
int stream_count = 1;
if (!have_streams || mp_count <= 0 || planned_profiles <= 0) {
return 1;
}
stream_count = mp_count / 8;
if (stream_count < 2) {
stream_count = 2;
}
if (stream_count > MAX_STRESS_STREAMS) {
stream_count = MAX_STRESS_STREAMS;
}
while (stream_count > 1) {
size_t per_stream_budget = total_budget / ((size_t)planned_profiles * (size_t)stream_count);
if (per_stream_budget >= MIN_STREAM_BUDGET_BYTES) {
break;
}
stream_count--;
}
return stream_count;
}
#if HAVE_CUBLASLT_HEADERS
static size_t clamp_single_precision_profile_budget(size_t profile_budget_bytes) {
if (profile_budget_bytes > MAX_SINGLE_PRECISION_PROFILE_BUDGET_BYTES) {
return MAX_SINGLE_PRECISION_PROFILE_BUDGET_BYTES;
}
return profile_budget_bytes;
}
#endif
static void destroy_streams(struct cuda_api *api, CUstream *streams, int count) {
if (!api->cuStreamDestroy) {
return;
}
for (int i = 0; i < count; i++) {
if (streams[i]) {
api->cuStreamDestroy(streams[i]);
streams[i] = NULL;
}
}
}
#if HAVE_CUBLASLT_HEADERS
static void append_detail(char *buf, size_t cap, const char *fmt, ...) {
size_t len = strlen(buf);
if (len >= cap) {
return;
}
va_list ap;
va_start(ap, fmt);
vsnprintf(buf + len, cap - len, fmt, ap);
va_end(ap);
}
#endif
static int run_ptx_fallback(struct cuda_api *api,
CUdevice dev,
const char *device_name,
int cc_major,
int cc_minor,
int seconds,
int size_mb,
struct stress_report *report) {
CUcontext ctx = NULL;
CUmodule module = NULL;
CUfunction kernel = NULL;
uint32_t sample[256];
CUdeviceptr device_mem[MAX_STRESS_STREAMS] = {0};
CUstream streams[MAX_STRESS_STREAMS] = {0};
uint32_t words[MAX_STRESS_STREAMS] = {0};
uint32_t rounds[MAX_STRESS_STREAMS] = {0};
void *params[MAX_STRESS_STREAMS][3];
size_t bytes_per_stream[MAX_STRESS_STREAMS] = {0};
unsigned long iterations = 0;
int mp_count = 0;
int stream_count = 1;
memset(report, 0, sizeof(*report));
snprintf(report->backend, sizeof(report->backend), "driver-ptx");
snprintf(report->device, sizeof(report->device), "%s", device_name);
report->cc_major = cc_major;
report->cc_minor = cc_minor;
report->buffer_mb = size_mb;
if (!check_rc(api, "cuCtxCreate", api->cuCtxCreate(&ctx, 0, dev))) {
return 0;
}
size_t requested_bytes = (size_t)size_mb * 1024u * 1024u;
if (requested_bytes < MIN_PROFILE_BUDGET_BYTES) {
requested_bytes = MIN_PROFILE_BUDGET_BYTES;
}
size_t total_bytes = clamp_budget_to_free_memory(api, requested_bytes);
if (total_bytes < MIN_PROFILE_BUDGET_BYTES) {
total_bytes = MIN_PROFILE_BUDGET_BYTES;
}
report->buffer_mb = (int)(total_bytes / (1024u * 1024u));
if (query_multiprocessor_count(api, dev, &mp_count) &&
api->cuStreamCreate &&
api->cuStreamDestroy) {
stream_count = choose_stream_count(mp_count, 1, total_bytes, 1);
}
if (stream_count > 1) {
int created = 0;
for (; created < stream_count; created++) {
if (!check_rc(api, "cuStreamCreate", api->cuStreamCreate(&streams[created], 0))) {
destroy_streams(api, streams, created);
stream_count = 1;
break;
}
}
}
report->stream_count = stream_count;
for (int lane = 0; lane < stream_count; lane++) {
size_t slice = total_bytes / (size_t)stream_count;
if (lane == stream_count - 1) {
slice = total_bytes - ((size_t)lane * (total_bytes / (size_t)stream_count));
}
slice = round_down_size(slice, sizeof(uint32_t));
if (slice < MIN_PROFILE_BUDGET_BYTES) {
slice = MIN_PROFILE_BUDGET_BYTES;
}
bytes_per_stream[lane] = slice;
words[lane] = (uint32_t)(slice / sizeof(uint32_t));
if (!check_rc(api, "cuMemAlloc", api->cuMemAlloc(&device_mem[lane], slice))) {
goto fail;
}
if (!check_rc(api, "cuMemsetD8", api->cuMemsetD8(device_mem[lane], 0, slice))) {
goto fail;
}
rounds[lane] = 2048;
params[lane][0] = &device_mem[lane];
params[lane][1] = &words[lane];
params[lane][2] = &rounds[lane];
}
if (!check_rc(api,
"cuModuleLoadDataEx",
api->cuModuleLoadDataEx(&module, ptx_source, 0, NULL, NULL))) {
goto fail;
}
if (!check_rc(api, "cuModuleGetFunction", api->cuModuleGetFunction(&kernel, module, "burn"))) {
goto fail;
}
unsigned int threads = 256;
double deadline = now_seconds() + (double)seconds;
double next_sync = now_seconds() + 1.0;
while (now_seconds() < deadline) {
int launched = 0;
for (int lane = 0; lane < stream_count; lane++) {
unsigned int blocks = (unsigned int)((words[lane] + threads - 1) / threads);
if (!check_rc(api,
"cuLaunchKernel",
api->cuLaunchKernel(kernel,
blocks,
1,
1,
threads,
1,
1,
0,
streams[lane],
params[lane],
NULL))) {
goto fail;
}
launched++;
iterations++;
}
if (launched <= 0) {
goto fail;
}
double now = now_seconds();
if (now >= next_sync || now >= deadline) {
if (!check_rc(api, "cuCtxSynchronize", api->cuCtxSynchronize())) {
goto fail;
}
next_sync = now + 1.0;
}
}
api->cuCtxSynchronize();
if (!check_rc(api, "cuMemcpyDtoH", api->cuMemcpyDtoH(sample, device_mem[0], sizeof(sample)))) {
goto fail;
}
for (size_t i = 0; i < sizeof(sample) / sizeof(sample[0]); i++) {
report->checksum += sample[i];
}
report->iterations = iterations;
snprintf(report->details,
sizeof(report->details),
"fallback_int32=OK requested_mb=%d actual_mb=%d streams=%d per_stream_mb=%zu iterations=%lu\n",
size_mb,
report->buffer_mb,
report->stream_count,
bytes_per_stream[0] / (1024u * 1024u),
iterations);
for (int lane = 0; lane < stream_count; lane++) {
if (device_mem[lane]) {
api->cuMemFree(device_mem[lane]);
}
}
destroy_streams(api, streams, stream_count);
api->cuCtxDestroy(ctx);
return 1;
fail:
for (int lane = 0; lane < MAX_STRESS_STREAMS; lane++) {
if (device_mem[lane]) {
api->cuMemFree(device_mem[lane]);
}
}
destroy_streams(api, streams, MAX_STRESS_STREAMS);
if (ctx) {
api->cuCtxDestroy(ctx);
}
return 0;
}