[v0.01] Retrieve more info; frequency, topology and peak performance
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@@ -1,12 +1,37 @@
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#include "gpu.hpp"
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#include <cstddef>
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#include <cstring>
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#include <cstdio>
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#include <cassert>
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#include "../common/global.hpp"
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#include "gpu.hpp"
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#define STRING_YES "Yes"
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#define STRING_NO "No"
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#define STRING_NONE "None"
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#define STRING_MEGAHERZ "MHz"
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#define STRING_GIGAHERZ "GHz"
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#define STRING_KILOBYTES "KB"
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#define STRING_MEGABYTES "MB"
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char* get_str_gpu_name(struct gpu_info* gpu) {
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return gpu->name;
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}
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char* get_str_freq(struct gpu_info* gpu) {
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return NULL;
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// Max 5 digits and 3 for '(M/G)Hz'
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uint32_t size = (5+1+3+1);
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assert(strlen(STRING_UNKNOWN)+1 <= size);
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char* string = (char *) ecalloc(size, sizeof(char));
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if(gpu->freq == UNKNOWN_FREQ || gpu->freq < 0)
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snprintf(string,strlen(STRING_UNKNOWN)+1, STRING_UNKNOWN);
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else if(gpu->freq >= 1000)
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snprintf(string,size,"%.3f "STRING_GIGAHERZ, (float)(gpu->freq)/1000);
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else
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snprintf(string,size,"%.3f "STRING_MEGAHERZ, (float)gpu->freq);
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return string;
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}
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char* get_str_memory_size(struct gpu_info* gpu) {
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@@ -26,5 +51,25 @@ char* get_str_l2(struct gpu_info* gpu) {
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}
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char* get_str_peak_performance(struct gpu_info* gpu) {
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return NULL;
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char* str;
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if(gpu->peak_performance == -1) {
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str = (char *) emalloc(sizeof(char) * (strlen(STRING_UNKNOWN) + 1));
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strncpy(str, STRING_UNKNOWN, strlen(STRING_UNKNOWN) + 1);
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return str;
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}
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// 7 for digits (e.g, XXXX.XX), 7 for XFLOP/s
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double flopsd = (double) gpu->peak_performance;
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uint32_t max_size = 7+1+7+1;
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str = (char *) ecalloc(max_size, sizeof(char));
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if(flopsd >= (double)1000000000000.0)
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snprintf(str, max_size, "%.2f TFLOP/s", flopsd/1000000000000);
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else if(flopsd >= 1000000000.0)
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snprintf(str, max_size, "%.2f GFLOP/s", flopsd/1000000000);
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else
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snprintf(str, max_size, "%.2f MFLOP/s", flopsd/1000000);
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return str;
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}
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@@ -7,6 +7,8 @@
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#include "../cuda/nvmlb.hpp"
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#include "../cuda/pci.hpp"
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#define UNKNOWN_FREQ -1
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enum {
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GPU_VENDOR_NVIDIA
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};
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@@ -59,9 +59,9 @@ int main(int argc, char* argv[]) {
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printf("Compute Capability: %s\n", get_str_cc(gpu->arch));
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printf("Technology: %s\n", get_str_process(gpu->arch));
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printf("Max Frequency: %s\n", get_str_freq(gpu));
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printf("SM: %s\n", get_str_sm(gpu));
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printf("Cores/MP: %s\n", get_str_cores_sm(gpu));
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printf("CUDA cores: %s\n", get_str_cuda_cores(gpu));
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printf("SM: %d\n", get_str_sm(gpu));
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printf("Cores/MP: %d\n", get_str_cores_sm(gpu));
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printf("CUDA cores: %d\n", get_str_cuda_cores(gpu));
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printf("Memory size: %s\n", get_str_memory_size(gpu));
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printf("Memory type: %s\n", get_str_memory_type(gpu));
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printf("L1 size: %s\n", get_str_l1(gpu));
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@@ -12,9 +12,13 @@ struct cache* get_cache_info(struct gpu_info* gpu) {
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return cach;
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}
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struct topology* get_topology_info(struct gpu_info* gpu) {
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struct topology* get_topology_info(struct gpu_info* gpu, cudaDeviceProp prop) {
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struct topology* topo = (struct topology*) emalloc(sizeof(struct topology));
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topo->streaming_mp = prop.multiProcessorCount;
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topo->cores_per_mp = _ConvertSMVer2Cores(prop.major, prop.minor);
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topo->cuda_cores = topo->streaming_mp * topo->cores_per_mp;
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return topo;
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}
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@@ -25,7 +29,7 @@ struct memory* get_memory_info(struct gpu_info* gpu) {
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}
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int64_t get_peak_performance(struct gpu_info* gpu) {
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return 1000;
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return gpu->freq * 1000000 * gpu->topo->cuda_cores * 2;
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}
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struct gpu_info* get_gpu_info() {
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@@ -38,10 +42,10 @@ struct gpu_info* get_gpu_info() {
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cudaDeviceProp deviceProp;
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cudaGetDeviceProperties(&deviceProp, dev);
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gpu->freq = deviceProp.clockRate * 1e-3f;
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gpu->vendor = GPU_VENDOR_NVIDIA;
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gpu->name = (char *) emalloc(sizeof(char) * (strlen(deviceProp.name) + 1));
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strcpy(gpu->name, deviceProp.name);
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gpu->freq = 10000;
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gpu->nvmld = nvml_init();
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if(nvml_get_pci_info(dev, gpu->nvmld)) {
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@@ -50,21 +54,21 @@ struct gpu_info* get_gpu_info() {
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gpu->arch = get_uarch_from_cuda(gpu);
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gpu->cach = get_cache_info(gpu);
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gpu->topo = get_topology_info(gpu);
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gpu->topo = get_topology_info(gpu, deviceProp);
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gpu->peak_performance = get_peak_performance(gpu);
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return gpu;
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}
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char* get_str_sm(struct gpu_info* gpu) {
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return NULL;
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int32_t get_str_sm(struct gpu_info* gpu) {
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return gpu->topo->streaming_mp;
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}
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char* get_str_cores_sm(struct gpu_info* gpu) {
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return NULL;
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int32_t get_str_cores_sm(struct gpu_info* gpu) {
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return gpu->topo->cores_per_mp;
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}
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char* get_str_cuda_cores(struct gpu_info* gpu) {
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return NULL;
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int32_t get_str_cuda_cores(struct gpu_info* gpu) {
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return gpu->topo->cuda_cores;
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}
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@@ -4,8 +4,8 @@
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#include "../common/gpu.hpp"
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struct gpu_info* get_gpu_info();
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char* get_str_sm(struct gpu_info* gpu);
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char* get_str_cores_sm(struct gpu_info* gpu);
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char* get_str_cuda_cores(struct gpu_info* gpu);
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int32_t get_str_sm(struct gpu_info* gpu);
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int32_t get_str_cores_sm(struct gpu_info* gpu);
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int32_t get_str_cuda_cores(struct gpu_info* gpu);
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#endif
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@@ -37,7 +37,7 @@ bool nvml_get_pci_info(int dev, struct nvml_data* data) {
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return false;
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}
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if ((result = nvmlDeviceGetPciInfo(device, &data->pci)) != result) {
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if ((result = nvmlDeviceGetPciInfo(device, &data->pci)) != NVML_SUCCESS) {
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printErr("nvmlDeviceGetPciInfo: %s\n", nvmlErrorString(result));
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return false;
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}
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