Support extra metrics in the RDC

Remove the * in the rdci stats
When a group is created, the GPUs can be added in the same command.
Add the support to the memory temperature.
Add the support to the memory clock.
Add the support to report the ECC errors.
Add the support to report the PCIe bandwidth throughput.

Since the RX/TX throughput may take 1 second to retreive, an async fetch is implemented
in the RdcMetricFetcherImpl.

Change-Id: If04f602fe1f2d14dbf7c2fb189549fd030523f9a
This commit is contained in:
Bill(Shuzhou) Liu
2020-04-29 10:32:50 -04:00
committed by Chris Freehill
parent 096dc2dadb
commit f4a3fd4dda
20 changed files with 601 additions and 62 deletions
+103 -5
View File
@@ -235,7 +235,11 @@ rdc_status_t RdcCacheManagerImpl::rdc_update_job_stats(uint32_t gpu_index,
void RdcCacheManagerImpl::set_summary(const FieldSummaryStats & stats,
rdc_stats_summary_t & gpu, rdc_stats_summary_t& summary,
unsigned int adjuster) {
if (stats.count == 0) return;
if (stats.count == 0) {
gpu.min_value = std::numeric_limits<uint64_t>::max();
gpu.max_value = gpu.average = 0;
return;
}
gpu.max_value = stats.max_value / adjuster;
gpu.min_value = stats.min_value / adjuster;
@@ -247,7 +251,7 @@ void RdcCacheManagerImpl::set_summary(const FieldSummaryStats & stats,
}
rdc_status_t RdcCacheManagerImpl::rdc_job_get_stats(char jobId[64],
const rdc_gpu_total_memory_t& total_memory,
const rdc_gpu_gauges_t& gpu_gauges,
rdc_job_info_t* p_job_info) {
std::lock_guard<std::mutex> guard(cache_mutex_);
auto job_stats = cache_jobs_.find(jobId);
@@ -257,6 +261,7 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_get_stats(char jobId[64],
}
//< Init the summary info
bool is_job_stopped = (job_stats->second.end_time != 0);
RDC_LOG(RDC_DEBUG, "rdc_job_get_stats for job " << jobId);
auto& summary_info = p_job_info->summary;
summary_info.start_time = job_stats->second.start_time;
@@ -267,7 +272,13 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_get_stats(char jobId[64],
}
summary_info.energy_consumed = 0;
summary_info.max_gpu_memory_used = 0;
summary_info.ecc_correct = 0;
summary_info.ecc_uncorrect = 0;
summary_info.power_usage = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.pcie_tx = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.pcie_rx = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.gpu_temperature = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.memory_clock = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.gpu_clock = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.gpu_utilization = {0, std::numeric_limits<uint64_t>::max(), 0};
summary_info.memory_utilization = {0,
@@ -285,13 +296,46 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_get_stats(char jobId[64],
gpu_info.energy_consumed = gpus->second.energy_consumed;
summary_info.energy_consumed += gpu_info.energy_consumed;
if (is_job_stopped) {
gpu_info.ecc_correct = gpus->second.ecc_correct_init;
summary_info.ecc_correct += gpu_info.ecc_correct;
} else if (gpu_gauges.find({gpus->first,
RDC_FI_ECC_CORRECT_TOTAL}) != gpu_gauges.end()) {
gpu_info.ecc_correct = gpu_gauges.at({
gpus->first, RDC_FI_ECC_CORRECT_TOTAL}) -
gpus->second.ecc_correct_init;
summary_info.ecc_correct += gpu_info.ecc_correct;
} else {
gpu_info.ecc_correct = 0;
}
if (is_job_stopped) {
gpu_info.ecc_uncorrect = gpus->second.ecc_uncorrect_init;
summary_info.ecc_uncorrect += gpu_info.ecc_uncorrect;
} else if (gpu_gauges.find({gpus->first,
RDC_FI_ECC_UNCORRECT_TOTAL}) != gpu_gauges.end()) {
gpu_info.ecc_uncorrect = gpu_gauges.at({
gpus->first, RDC_FI_ECC_UNCORRECT_TOTAL}) -
gpus->second.ecc_uncorrect_init;
summary_info.ecc_uncorrect += gpu_info.ecc_uncorrect;
} else {
gpu_info.ecc_uncorrect = 0;
}
if (gpu_gauges.find({gpus->first,
RDC_FI_GPU_MEMORY_TOTAL}) == gpu_gauges.end()) {
RDC_LOG(RDC_ERROR, "Cannot find the total memory");
return RDC_ST_BAD_PARAMETER;
}
uint64_t tmemory = gpu_gauges.at({gpus->first,
RDC_FI_GPU_MEMORY_TOTAL});
auto ite = gpus->second.field_summaries.begin();
for (; ite != gpus->second.field_summaries.end(); ite++) {
if (ite->first == RDC_FI_POWER_USAGE) {
set_summary(ite->second,
gpu_info.power_usage, summary_info.power_usage, 1000000);
} else if (ite->first == RDC_FI_GPU_MEMORY_USAGE) {
auto tmemory = total_memory.at(gpus->first);
set_summary(ite->second, gpu_info.memory_utilization,
summary_info.memory_utilization, tmemory/100);
gpu_info.max_gpu_memory_used = ite->second.max_value;
@@ -304,6 +348,18 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_get_stats(char jobId[64],
} else if (ite->first == RDC_FI_GPU_UTIL) {
set_summary(ite->second, gpu_info.gpu_utilization,
summary_info.gpu_utilization, 1);
} else if (ite->first == RDC_FI_GPU_TEMP) {
set_summary(ite->second,
gpu_info.gpu_temperature, summary_info.gpu_temperature, 1000);
} else if (ite->first == RDC_FI_MEM_CLOCK) {
set_summary(ite->second,
gpu_info.memory_clock, summary_info.memory_clock, 1000000);
} else if (ite->first == RDC_FI_PCIE_TX) {
set_summary(ite->second,
gpu_info.pcie_tx, summary_info.pcie_tx, 1024*1024);
} else if (ite->first == RDC_FI_PCIE_RX) {
set_summary(ite->second,
gpu_info.pcie_rx, summary_info.pcie_rx, 1024*1024);
}
}
}
@@ -316,12 +372,21 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_get_stats(char jobId[64],
p_job_info->num_gpus;
summary_info.memory_utilization.average =
summary_info.memory_utilization.average/p_job_info->num_gpus;
summary_info.pcie_tx.average = summary_info.pcie_tx.average/
p_job_info->num_gpus;
summary_info.pcie_rx.average = summary_info.pcie_rx.average/
p_job_info->num_gpus;
summary_info.gpu_temperature.average = summary_info.gpu_temperature.average/
p_job_info->num_gpus;
summary_info.memory_clock.average = summary_info.memory_clock.average/
p_job_info->num_gpus;
return RDC_ST_OK;
}
rdc_status_t RdcCacheManagerImpl::rdc_job_start_stats(char job_id[64],
const rdc_group_info_t& ginfo, const rdc_field_group_info_t& finfo) {
const rdc_group_info_t& ginfo, const rdc_field_group_info_t& finfo,
const rdc_gpu_gauges_t& gpu_gauges) {
RdcJobStatsCacheEntry cacheEntry;
cacheEntry.start_time = std::time(nullptr);
cacheEntry.end_time = 0;
@@ -336,6 +401,20 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_start_stats(char job_id[64],
gstats.field_summaries.insert({finfo.field_ids[j], s});
}
gstats.ecc_correct_init = 0;
if (gpu_gauges.find({ginfo.entity_ids[i], RDC_FI_ECC_CORRECT_TOTAL}) !=
gpu_gauges.end()) {
gstats.ecc_correct_init = gpu_gauges.at(
{ginfo.entity_ids[i], RDC_FI_ECC_CORRECT_TOTAL});
}
gstats.ecc_uncorrect_init = 0;
if (gpu_gauges.find({ginfo.entity_ids[i], RDC_FI_ECC_UNCORRECT_TOTAL}) !=
gpu_gauges.end()) {
gstats.ecc_uncorrect_init = gpu_gauges.at(
{ginfo.entity_ids[i], RDC_FI_ECC_UNCORRECT_TOTAL});
}
cacheEntry.gpu_stats.insert({ginfo.entity_ids[i], gstats});
}
@@ -347,7 +426,8 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_start_stats(char job_id[64],
}
rdc_status_t RdcCacheManagerImpl::rdc_job_stop_stats(char job_id[64]) {
rdc_status_t RdcCacheManagerImpl::rdc_job_stop_stats(char job_id[64],
const rdc_gpu_gauges_t& gpu_gauges) {
std::lock_guard<std::mutex> guard(cache_mutex_);
auto job_stats = cache_jobs_.find(job_id);
@@ -357,6 +437,24 @@ rdc_status_t RdcCacheManagerImpl::rdc_job_stop_stats(char job_id[64]) {
job_stats->second.end_time = std::time(nullptr);
// update the ecc errors
auto gpus = job_stats->second.gpu_stats.begin();
for (; gpus != job_stats->second.gpu_stats.end(); gpus++) {
if (gpu_gauges.find({gpus->first,
RDC_FI_ECC_CORRECT_TOTAL}) != gpu_gauges.end()) {
gpus->second.ecc_correct_init = gpu_gauges.at({
gpus->first, RDC_FI_ECC_CORRECT_TOTAL}) -
gpus->second.ecc_correct_init;
}
if (gpu_gauges.find({gpus->first,
RDC_FI_ECC_UNCORRECT_TOTAL}) != gpu_gauges.end()) {
gpus->second.ecc_uncorrect_init = gpu_gauges.at({
gpus->first, RDC_FI_ECC_UNCORRECT_TOTAL}) -
gpus->second.ecc_uncorrect_init;
}
}
return RDC_ST_OK;
}