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Commit 6ca11dc3 authored by Carla Guillen Carias's avatar Carla Guillen Carias
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Removing puning of ints to doubles and viceversa, and implementing use of... 

Removing puning of ints to doubles and viceversa, and implementing use of scaling factor from metadata
parent d5e7a0fa
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Showing with 120 additions and 121 deletions
analytics/operators/persystsql/PerSystSqlOperator.cpp
View file @ 6ca11dc3
......@@ -59,6 +59,40 @@ PerSystSqlOperator::PerSystSqlOperator(const std::string& name) :
PerSystSqlOperator::~PerSystSqlOperator() {
}
PerSystSqlOperator::PerSystSqlOperator(const PerSystSqlOperator& other) : OperatorTemplate(other._name), JobOperatorTemplate(other._name){
copy(other);
}
PerSystSqlOperator& PerSystSqlOperator::operator=(const PerSystSqlOperator& other){
OperatorTemplate::operator=(other);
JobOperatorTemplate::operator=(other);
copy(other);
return *this;
}
void PerSystSqlOperator::copy(const PerSystSqlOperator& other){
this->_buffer = other._buffer;
this->_quantileSensors = other._quantileSensors;
this->_number_of_even_quantiles = other._number_of_even_quantiles;
this->_severity_formula = other._severity_formula;
this->_severity_threshold = other._severity_threshold;
this->_severity_exponent = other._severity_exponent;
this->_severity_max_memory = other._severity_max_memory;
this->_severities = other._severities;
this->_go_back_ns = other._go_back_ns;
this->_backend = other._backend;
this->_scaling_factor = other._scaling_factor;
this->_conn.database_name = other._conn.database_name;
this->_conn.every_x_days = other._conn.every_x_days;
this->_conn.host = other._conn.host;
this->_conn.password = other._conn.password;
this->_conn.port = other._conn.port;
this->_conn.rotation = other._conn.rotation;
this->_conn.user = other._conn.user;
this->_property_id = other._property_id;
}
void PerSystSqlOperator::printConfig(LOG_LEVEL ll) {
LOG_VAR(ll) << "backend=" << _backend;
LOG_VAR(ll) << "go_back_ms=" << _go_back_ns/1e6;
......@@ -74,7 +108,6 @@ void PerSystSqlOperator::printConfig(LOG_LEVEL ll) {
LOG_VAR(ll) << "Property Configuration:";
LOG_VAR(ll) << "\tnumber_of_even_quantiles=" << _number_of_even_quantiles;
LOG_VAR(ll) << "\tproperty_id=" << _property_id;
LOG_VAR(ll) << "\tscaling_factor=" << _scaling_factor;
LOG_VAR(ll) << "Severity Configuration:";
LOG_VAR(ll) << "\tseverity_formula=" << _severity_formula;
LOG_VAR(ll) << "\tseverity_exponent=" << _severity_exponent;
......@@ -88,16 +121,13 @@ void PerSystSqlOperator::compute(U_Ptr unit, qeJobData& jobData) {
size_t elCtr = 0;
uint64_t my_timestamp = getTimestamp() - _go_back_ns;
// Making sure that the aggregation boundaries do not go past the job start/end time
uint64_t jobEnd =
jobData.endTime != 0 && my_timestamp > jobData.endTime ?
jobData.endTime : my_timestamp;
uint64_t jobStart =
jobEnd - my_timestamp < jobData.startTime ?
jobData.startTime : jobEnd - my_timestamp;
uint64_t jobEnd = jobData.endTime != 0 && my_timestamp > jobData.endTime ? jobData.endTime : my_timestamp;
uint64_t jobStart = jobEnd - my_timestamp < jobData.startTime ? jobData.startTime : jobEnd - my_timestamp;
// Job units are hierarchical, and thus we iterate over all sub-units associated to each single node
for (const auto& subUnit : unit->getSubUnits()) {
// Since we do not clear the internal buffer, all sensor readings will be accumulated in the same vector
for (const auto& in : subUnit->getInputs()) {
_scaling_factor = in->getMetadata()->scale;
if (!_queryEngine.querySensor(in->getName(), my_timestamp, my_timestamp, _buffer, false)) {
LOG(debug)<< "PerSystSql Operator " << _name << " cannot read from sensor " << in->getName() << "!";
}
......@@ -121,16 +151,16 @@ void PerSystSqlOperator::compute(U_Ptr unit, qeJobData& jobData) {
job_ids.push_back(jobidBuilder.str());
std::map<std::string, std::string> job_map;
if(!persystdb.getTableSuffix(table_suffix)){
LOG(error) << "failed to create table!";
return;
}
if(!persystdb.getDBJobIDs(job_ids, job_map)){
return;
}
if(!persystdb.getTableSuffix(table_suffix)){
LOG(error) << "failed to create table!";
return;
}
if(!persystdb.getDBJobIDs(job_ids, job_map)){
return;
}
// handle jobs which are not present
for(auto &job_id_string : job_ids ){
for(auto &job_id_string : job_ids ){
auto search = job_map.find(job_id_string);
if(search == job_map.end()){ //Not found
int job_id_db;
......@@ -140,7 +170,7 @@ void PerSystSqlOperator::compute(U_Ptr unit, qeJobData& jobData) {
continue;
}
}
}
}
agg_info.timestamp = (my_timestamp/1e9);
}
......@@ -156,6 +186,14 @@ void PerSystSqlOperator::compute(U_Ptr unit, qeJobData& jobData) {
}
}
void PerSystSqlOperator::convertToDoubles(std::vector<reading_t> &buffer, std::vector<double> &douBuffer){
for(auto &reading: buffer){
double value = reading.value/_scaling_factor;
douBuffer.push_back(value);
}
}
void PerSystSqlOperator::compute_internal(U_Ptr& unit, vector<reading_t>& buffer, Aggregate_info_t & agg_info) {
_quantileSensors.clear();
......@@ -164,7 +202,7 @@ void PerSystSqlOperator::compute_internal(U_Ptr& unit, vector<reading_t>& buffer
reading.timestamp = getTimestamp() - _go_back_ns;
std::vector<double> douBuffer;
punToDoubles(buffer, douBuffer);
convertToDoubles(buffer, douBuffer);
// Performing the actual aggregation operation
for (const auto& out : unit->getOutputs()) {
op = out->getOperation();
......@@ -183,7 +221,7 @@ void PerSystSqlOperator::compute_internal(U_Ptr& unit, vector<reading_t>& buffer
break;
case AggregatorSensorBase::AVG_SEV:
if (_backend == CASSANDRA) {
reading.value = computeSeverityAverage(douBuffer) * _scaling_factor;
reading.value = computeSeverityAverage(douBuffer) * SCALING_FACTOR_SEVERITY;
} else {
agg_info.severity_average = computeSeverityAverage(douBuffer);
}
......@@ -288,29 +326,25 @@ double PerSystSqlOperator::computeSeverityAverage(
switch (_severity_formula) {
case (FORMULA1):
for (auto val : buffer) {
auto severity = severity_formula1(val, _severity_threshold,
_severity_exponent);
auto severity = severity_formula1(val, _severity_threshold, _severity_exponent);
severities.push_back(severity);
}
break;
case (FORMULA2):
for (auto val : buffer) {
auto severity = severity_formula2(val, _severity_threshold,
_severity_exponent);
auto severity = severity_formula2(val, _severity_threshold, _severity_exponent);
severities.push_back(severity);
}
break;
case (FORMULA3):
for (auto val : buffer) {
auto severity = severity_formula3(val, _severity_threshold,
_severity_exponent);
auto severity = severity_formula3(val, _severity_threshold, _severity_exponent);
severities.push_back(severity);
}
break;
case (MEMORY_FORMULA):
for (auto val : buffer) {
auto severity = severity_memory(val, _severity_threshold,
_severity_max_memory);
auto severity = severity_memory(val, _severity_threshold, _severity_max_memory);
severities.push_back(severity);
}
break;
......@@ -330,28 +364,7 @@ double PerSystSqlOperator::computeSeverityAverage(
return 0.0;
}
void punToDoubles(std::vector<reading_t> & buffer,
std::vector<double> & outDoubleVec) {
for (auto & reading : buffer) {
outDoubleVec.push_back(punLLToDouble(reading.value));
}
}
double punLLToDouble(long long value) {
double * returnval;
returnval = (double *) (&value);
return *returnval;
}
long long punDoubleToLL(double value) {
long long * returnval;
returnval = (long long *) (&value);
return *returnval;
}
void computeEvenQuantiles(std::vector<double> &data,
const unsigned int NUMBER_QUANTILES, std::vector<double> &quantiles) {
void computeEvenQuantiles(std::vector<double> &data, const unsigned int NUMBER_QUANTILES, std::vector<double> &quantiles) {
if (data.empty() || NUMBER_QUANTILES == 0) {
return;
}
......@@ -368,8 +381,7 @@ void computeEvenQuantiles(std::vector<double> &data,
quantiles[i] = data[0];
} else {
double rest = (i * factor) - idx;
quantiles[i] = data[idx - 1]
+ rest * (data[idx] - data[idx - 1]); //ToDo scaling factor??
quantiles[i] = data[idx - 1] + rest * (data[idx] - data[idx - 1]);
}
} else { //optimization, we don't need to calculate all the quantiles
quantiles[i] = data[0];
......
analytics/operators/persystsql/PerSystSqlOperator.h
View file @ 6ca11dc3
......@@ -54,6 +54,10 @@ public:
public:
PerSystSqlOperator(const std::string& name);
virtual ~PerSystSqlOperator();
PerSystSqlOperator(const PerSystSqlOperator& other);
PerSystSqlOperator& operator=(const PerSystSqlOperator& other);
void copy(const PerSystSqlOperator& other);
void compute(U_Ptr unit, qeJobData& jobData) override;
void printConfig(LOG_LEVEL ll) override;
......@@ -138,11 +142,13 @@ private:
static int _number_of_calls;
int _property_id;
static PerSystDB persystdb;
const int SCALING_FACTOR_SEVERITY=1000000;
protected:
virtual void compute(U_Ptr unit) override;
void compute_internal(U_Ptr& unit, vector<reading_t>& buffer, Aggregate_info_t &agg_info);
double computeSeverityAverage(vector<double> & buffer);
void convertToDoubles(std::vector<reading_t> &buffer, std::vector<double> &douBuffer);
};
double severity_formula1(double metric, double threshold, double exponent);
......@@ -150,10 +156,7 @@ double severity_formula2(double metric, double threshold, double exponent);
double severity_formula3(double metric, double threshold, double exponent);
double severity_memory(double metric, double threshold, double max_memory);
constexpr double severity_noformula(){return 0.0;} //No severity
void punToDoubles(std::vector<reading_t> & buffer, std::vector<double> & outDoubleVec);
void computeEvenQuantiles(std::vector<double> &data, const unsigned int NUMBER_QUANTILES, std::vector<double> &quantiles);
double punLLToDouble(long long value);
long long punDoubleToLL(double value);
#endif /* ANALYTICS_OPERATORS_PERSYSTSQL_PERSYSTSQLOPERATOR_H_ */
analytics/operators/smucngperf/SKXPMUMetrics.cpp
View file @ 6ca11dc3
......@@ -28,27 +28,15 @@
#include "SKXPMUMetrics.h"
double punLLToDouble(long long value){
double * returnval;
returnval = (double *)(&value);
return *returnval;
}
long long punDoubleToLL(double value){
long long * returnval;
returnval = (long long *)(&value);
return *returnval;
}
bool calculateFlopsPerSec(reading_t &scalarDB, reading_t & scalarSP,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512, reading_t & result, double measuring_interval_s) {
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result, double scaling_factor, double measuring_interval_s) {
if(!measuring_interval_s) return false;
result.value = punDoubleToLL(packedDP128.value * 2 + packedSP128.value * 4
result.value = scaling_factor * (packedDP128.value * 2 + packedSP128.value * 4
+ packedDP256.value * 4 + packedSP256.value * 8
+ packedDP512.value * 8 + packedSP512.value * 16 + scalarDB.value
+ scalarSP.value)/measuring_interval_s;
......@@ -58,23 +46,23 @@ bool calculateFlopsPerSec(reading_t &scalarDB, reading_t & scalarSP,
bool calculatePackedFlopsPerSec(reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result, double measuring_interval_s) {
result.value = punDoubleToLL((packedDP128.value * 2 + packedSP128.value * 4
reading_t & result, double scaling_factor, double measuring_interval_s) {
result.value = scaling_factor * (packedDP128.value * 2 + packedSP128.value * 4
+ packedDP256.value * 4 + packedSP256.value * 8
+ packedDP512.value * 8 + packedSP512.value * 16)/measuring_interval_s);
+ packedDP512.value * 8 + packedSP512.value * 16)/measuring_interval_s;
return getTimestampFromReadings(result.timestamp, packedDP128, packedSP128, packedDP256, packedSP256, packedDP512, packedSP512);
}
bool calculateVectorizationRatio(reading_t & scalarDB, reading_t & scalarSP,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512, reading_t & result) {
reading_t & packedDP512, reading_t & packedSP512, reading_t & result, double scaling_factor) {
double denominator = static_cast<double>(scalarDB.value + scalarSP.value +
packedDP128.value + packedSP128.value +
packedDP256.value + packedSP256.value +
packedDP512.value + packedSP512.value);
if(denominator > 0 ){
result.value = punDoubleToLL((packedDP128.value + packedSP128.value + packedDP256.value
result.value = scaling_factor*((packedDP128.value + packedSP128.value + packedDP256.value
+ packedSP256.value + packedDP256.value + packedSP512.value + packedDP512.value)/denominator);
return getTimestampFromReadings(result.timestamp, scalarDB, scalarSP,
packedDP128, packedSP128, packedDP256, packedSP256, packedDP512,
......@@ -86,12 +74,12 @@ bool calculateVectorizationRatio(reading_t & scalarDB, reading_t & scalarSP,
bool calculateAVX512FlopsToVectorizedRatio(reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result){
reading_t & result, double scaling_factor){
double denominator = static_cast<double>(packedDP128.value + packedSP128.value +
packedDP256.value + packedSP256.value +
packedDP512.value + packedSP512.value);
if(denominator > 0){
result.value = punDoubleToLL((packedDP512.value * 8 + packedSP512.value * 16)/denominator);
result.value = scaling_factor* ((packedDP512.value * 8 + packedSP512.value * 16)/denominator);
return getTimestampFromReadings(result.timestamp, packedDP128, packedSP128, packedDP256, packedSP256, packedDP512, packedSP512);
}
return false;
......@@ -102,12 +90,12 @@ bool calculateSP_TO_TOTAL_RATIO(reading_t &scalarDB, reading_t & scalarSP,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result){
reading_t & result, double scaling_factor){
auto single_precision = packedSP128.value * 4 + packedSP256.value * 8
+ packedSP512.value * 16 + scalarSP.value;
double total = single_precision = packedDP128.value * 2 + packedDP256.value * 4 + packedDP512.value * 8 + scalarDB.value;
if(total > 0){
result.value = punDoubleToLL(single_precision/total);
result.value = scaling_factor * (single_precision/total);
return getTimestampFromReadings(result.timestamp, scalarDB, scalarSP,
packedDP128, packedSP128, packedDP256, packedSP256, packedDP512,
packedSP512);
......@@ -116,16 +104,16 @@ bool calculateSP_TO_TOTAL_RATIO(reading_t &scalarDB, reading_t & scalarSP,
}
bool calculateL3HitToL3MissRatio(reading_t & l3_misses, reading_t& l3_load_hits,
reading_t & l3_load_misses, reading_t & result){
reading_t & l3_load_misses, reading_t & result, double scaling_factor){
double denominator = static_cast<double>(l3_load_hits.value + l3_load_misses.value);
if(denominator > 0){
result.value = punDoubleToLL(l3_misses.value/denominator);
result.value = scaling_factor*(l3_misses.value/denominator);
return getTimestampFromReadings(result.timestamp, l3_misses, l3_load_hits, l3_load_misses);
}
return false;
}
bool calculateMemoryBandwidth(std::vector<reading_t> membw_counts, reading_t & result, double measuring_interval_s ) {
bool calculateMemoryBandwidth(std::vector<reading_t> membw_counts, reading_t & result, double measuring_interval_s, double scaling_factor ) {
result.value = 0;
const unsigned int SIZEPERACCESS = 64;
bool ret_val = false;
......@@ -136,7 +124,7 @@ bool calculateMemoryBandwidth(std::vector<reading_t> membw_counts, reading_t & r
ret_val = true;
}
}
result.value = punDoubleToLL(result.value/measuring_interval_s);
result.value = scaling_factor * (result.value/measuring_interval_s);
return ret_val;
}
......@@ -144,31 +132,31 @@ bool calculateMemoryBandwidth(std::vector<reading_t> membw_counts, reading_t & r
/**
* For CPI, LoadsToStore, Branch rate, miss branch ratio, etc..
*/
bool calculateMetricRatio(reading_t & dividend, reading_t & divisor, reading_t & result) {
bool calculateMetricRatio(reading_t & dividend, reading_t & divisor, reading_t & result, double scaling_factor) {
if(divisor.value > 0){
result.value = punDoubleToLL(dividend.value / static_cast<double>(divisor.value));
result.value = scaling_factor * (dividend.value / static_cast<double>(divisor.value));
return getTimestampFromReadings(result.timestamp, dividend, divisor);
}
return false; //Division by zero
}
/** Any generic metric per second. For instance: instructions per second, l2 misses per second **/
bool calculateMetricPerSec(reading_t & metric, double measuring_interval_s, reading_t & result) {
bool calculateMetricPerSec(reading_t & metric, double measuring_interval_s, reading_t & result, double scaling_factor) {
if(measuring_interval_s > 0) {
result.value = punDoubleToLL(metric.value / measuring_interval_s);
result.value = scaling_factor * (metric.value / measuring_interval_s);
return getTimestampFromReadings(result.timestamp, metric);
}
return false; //Division by zero
}
bool calculateFrequency(reading_t & unhaltedRef, reading_t & unhaltedClocks,
unsigned int min_freq, unsigned int max_freq, reading_t & result) {
unsigned int min_freq, unsigned int max_freq, reading_t & result, double scaling_factor) {
if(unhaltedRef.value > 0){
double resValue = (unhaltedClocks.value / static_cast<double>(unhaltedRef.value)) * max_freq;
if(resValue > (max_freq * 1.1) || resValue < (min_freq*0.9)) { //There is something wrong here...
return false;
}
result.value = punDoubleToLL(resValue);
result.value = scaling_factor * resValue;
return getTimestampFromReadings(result.timestamp, unhaltedRef, unhaltedClocks);
}
return false; //Division by zero
......
analytics/operators/smucngperf/SKXPMUMetrics.h
View file @ 6ca11dc3
......@@ -42,50 +42,46 @@ bool getTimestampFromReadings(uint64_t & timestamp, Args&...args){
return false;
}
double punLLToDouble(long long value);
long long punDoubleToLL(double value);
bool calculateFlopsPerSec(reading_t &scalarDB, reading_t & scalarSP,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result, double measuring_interval_s);
reading_t & result, double scaling_factor, double measuring_interval_s);
bool calculatePackedFlopsPerSec(reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result, double measuring_interval_s);
reading_t & result, double scaling_factor, double measuring_interval_s);
bool calculateVectorizationRatio(reading_t & scalarDB, reading_t & scalarSP,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512, reading_t & result);
reading_t & packedDP512, reading_t & packedSP512, reading_t & result, double scaling_factor);
bool calculateAVX512FlopsToVectorizedRatio(reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result);
reading_t & result, double scaling_factor);
bool calculateSP_TO_TOTAL_RATIO(reading_t &scalarDB, reading_t & scalarSP,
reading_t & packedDP128, reading_t & packedSP128,
reading_t & packedDP256, reading_t & packedSP256,
reading_t & packedDP512, reading_t & packedSP512,
reading_t & result);
reading_t & result, double scaling_factor);
bool calculateL3HitToL3MissRatio(reading_t & l3_misses, reading_t& l3_load_hits,
reading_t & l3_load_misses, reading_t & result);
reading_t & l3_load_misses, reading_t & result, double scaling_factor);
bool calculateMemoryBandwidth(std::vector<reading_t> membw_counts, reading_t & result, double measuring_interval_s);
bool calculateMemoryBandwidth(std::vector<reading_t> membw_counts, reading_t & result, double measuring_interval_s, double scaling_factor);
bool calculateMetricRatio(reading_t & dividend, reading_t & divisor, reading_t & result);
bool calculateMetricRatio(reading_t & dividend, reading_t & divisor, reading_t & result, double scaling_factor);
/** Any generic metric per second. For instance: instructions per second, l2 misses per second **/
bool calculateMetricPerSec(reading_t & metric, double measuring_interval_s, reading_t & result) ;
bool calculateMetricPerSec(reading_t & metric, double measuring_interval_s, reading_t & result, double scaling_factor) ;
bool calculateFrequency(reading_t & unhaltedRef, reading_t & unhaltedClocks,
unsigned int min_freq, unsigned int max_freq, reading_t & result);
unsigned int min_freq, unsigned int max_freq, reading_t & result, double scaling_factor);
#endif /* ANALYTICS_ANALYZERS_SMUCNGPERFANALYZER_SKXDERIVEDMETRICS_SKXPMUMETRICS_H_ */
analytics/operators/smucngperf/SMUCNGPerfOperator.cpp
View file @ 6ca11dc3
......@@ -146,7 +146,7 @@ void SMUCNGPerfOperator::computeCPI(std::vector<SMUCNGPtr>& inputs, SMUCNGPtr &o
query(inputs[_metricToPosition[SMUCSensorBase::CLOCKS]]->getName(), timestamp, clocks);
bool wascalced = false;
reading_t cpi;
if (instructions.size() > 0 && clocks.size() > 0 && calculateMetricRatio(clocks[0], instructions[0], cpi)) {
if (instructions.size() > 0 && clocks.size() > 0 && calculateMetricRatio(clocks[0], instructions[0], cpi, outSensor->getMetadata()->scale)) {
outSensor->storeReading(cpi);
}
}
......@@ -157,7 +157,7 @@ void SMUCNGPerfOperator::computeFREQUENCY(std::vector<SMUCNGPtr>& inputs, SMUCNG
query(inputs[_metricToPosition[SMUCSensorBase::CLOCKS]]->getName(), timestamp, clocks);
query(inputs[_metricToPosition[SMUCSensorBase::CLOCKS_REF]]->getName(), timestamp, clocks_ref);
reading_t frequency;
if( clocks.size() > 0 && clocks_ref.size() > 0 && calculateFrequency(clocks_ref[0],clocks[0], MIN_FREQ_MHZ, MAX_FREQ_MHZ, frequency)) {
if( clocks.size() > 0 && clocks_ref.size() > 0 && calculateFrequency(clocks_ref[0],clocks[0], MIN_FREQ_MHZ, MAX_FREQ_MHZ, frequency, outSensor->getMetadata()->scale)) {
outSensor->storeReading(frequency);
}
}
......@@ -198,29 +198,31 @@ void SMUCNGPerfOperator::computeFLOPS(std::vector<SMUCNGPtr>& inputs, SMUCNGPtr&
if(flop_metric == SMUCSensorBase::FLOPS) {
if (calculateFlopsPerSec(scalar_double, scalar_single, packed128_double,
packed128_single, packed256_double, packed256_single,
packed512_double, packed512_single, result, _measuring_interval_s) ) {
packed512_double, packed512_single, result, outSensor->getMetadata()->scale, _measuring_interval_s) ) {
outSensor->storeReading(result);
}
} else if(flop_metric == SMUCSensorBase::PACKED_FLOPS){
if(calculatePackedFlopsPerSec(packed128_double,packed128_single,packed256_double,packed256_single,packed512_double,packed512_single, result, _measuring_interval_s)){
if (calculatePackedFlopsPerSec(packed128_double, packed128_single,
packed256_double, packed256_single, packed512_double,
packed512_single, result, outSensor->getMetadata()->scale, _measuring_interval_s)) {
outSensor->storeReading(result);
}
} else if(flop_metric == SMUCSensorBase::VECTORIZED_RATIO) {
if(calculateVectorizationRatio(scalar_double, scalar_single, packed128_double,
packed128_single, packed256_double, packed256_single,
packed512_double, packed512_single, result)) {
packed512_double, packed512_single, result, outSensor->getMetadata()->scale)) {
outSensor->storeReading(result);
}
} else if (flop_metric == SMUCSensorBase::AVX512_TOVECTORIZED_RATIO) {
if (calculateAVX512FlopsToVectorizedRatio(packed128_double,
packed128_single, packed256_double, packed256_single,
packed512_double, packed512_single, result )) {
packed512_double, packed512_single, result, outSensor->getMetadata()->scale )) {
outSensor->storeReading(result);
}
} else if (flop_metric == SMUCSensorBase::SINGLE_PRECISION_TO_TOTAL_RATIO) {
if(calculateSP_TO_TOTAL_RATIO(scalar_double, scalar_single, packed128_double,
packed128_single, packed256_double, packed256_single,
packed512_double, packed512_single, result)){
packed512_double, packed512_single, result, outSensor->getMetadata()->scale)){
outSensor->storeReading(result);
}
}
......@@ -239,7 +241,7 @@ void SMUCNGPerfOperator::computeL3_TO_INSTRUCTIONS_RATIO(std::vector<SMUCNGPtr>&
query(inputs[_metricToPosition[SMUCSensorBase::MEM_LOAD_UOPS_RETIRED_L3_MISS]]->getName(), timestamp, l3_misses);
query(inputs[_metricToPosition[SMUCSensorBase::INSTRUCTIONS]]->getName(), timestamp, instructions);
reading_t l3toinstrRatio;
if (instructions.size() > 0 && l3_misses.size() > 0 && calculateMetricRatio(instructions[0], l3_misses[0], l3toinstrRatio)) {
if (instructions.size() > 0 && l3_misses.size() > 0 && calculateMetricRatio(instructions[0], l3_misses[0], l3toinstrRatio, outSensor->getMetadata()->scale)) {
outSensor->storeReading(l3toinstrRatio);
}
}
......@@ -258,7 +260,7 @@ void SMUCNGPerfOperator::computeL3HIT_TO_L3MISS_RATIO(std::vector<SMUCNGPtr>& in
query(inputs[_metricToPosition[SMUCSensorBase::MEM_LOAD_RETIRED_L3_HIT]]->getName(), timestamp, l3_hits);
query(inputs[_metricToPosition[SMUCSensorBase::MEM_LOAD_RETIRED_L3_MISS]]->getName(), timestamp, l3_load_miss);
reading_t l3hitToMissRatio;
if (l3_misses.size() > 0 && l3_hits.size() > 0 && l3_load_miss.size() > 0 && calculateL3HitToL3MissRatio(l3_misses[0], l3_hits[0], l3_load_miss[0], l3hitToMissRatio)) {
if (l3_misses.size() > 0 && l3_hits.size() > 0 && l3_load_miss.size() > 0 && calculateL3HitToL3MissRatio(l3_misses[0], l3_hits[0], l3_load_miss[0], l3hitToMissRatio, outSensor->getMetadata()->scale)) {
outSensor->storeReading(l3hitToMissRatio);
}
}
......@@ -267,32 +269,30 @@ void SMUCNGPerfOperator::computeMetricPerSecond(SMUCSensorBase::Metric_t metric_
SMUCSensorBase::Metric_t metric = _metricPerSecToId[metric_ps];
query(inputs[_metricToPosition[metric]]->getName(), timestamp, _buffers[0]);
reading_t metricpersec;
if(_buffers[0].size() > 0 && calculateMetricPerSec(_buffers[0][0], _measuring_interval_s, metricpersec)){
if(_buffers[0].size() > 0 && calculateMetricPerSec(_buffers[0][0], _measuring_interval_s, metricpersec, outSensor->getMetadata()->scale)){
outSensor->storeReading(metricpersec);
}
}
void SMUCNGPerfOperator::computeLOADS_TO_STORES(std::vector<SMUCNGPtr>& inputs, SMUCNGPtr& outSensor,
const uint64_t timestamp) {
void SMUCNGPerfOperator::computeLOADS_TO_STORES(std::vector<SMUCNGPtr>& inputs, SMUCNGPtr& outSensor, const uint64_t timestamp) {
std::vector<reading_t> & loads = _buffers[0];
std::vector<reading_t> & stores = _buffers[1];
query(inputs[_metricToPosition[SMUCSensorBase::MEM_INST_RETIRED_ALL_LOADS]]->getName(), timestamp, loads);
query(inputs[_metricToPosition[SMUCSensorBase::MEM_INST_RETIRED_ALL_STORES]]->getName(), timestamp, stores);
reading_t loadToStoreRatio;
if(loads.size() > 0 && stores.size() > 0 && calculateMetricRatio(loads[0], stores[0], loadToStoreRatio)){
if(loads.size() > 0 && stores.size() > 0 && calculateMetricRatio(loads[0], stores[0], loadToStoreRatio, outSensor->getMetadata()->scale)){
outSensor->storeReading(loadToStoreRatio);
}
}
void SMUCNGPerfOperator::computeLOADS_TOL3MISS_RATIO(std::vector<SMUCNGPtr>& inputs, SMUCNGPtr& outSensor,
const uint64_t timestamp) {
void SMUCNGPerfOperator::computeLOADS_TOL3MISS_RATIO(std::vector<SMUCNGPtr>& inputs, SMUCNGPtr& outSensor, const uint64_t timestamp) {
std::vector<reading_t> & loads = _buffers[0];
std::vector<reading_t> & l3_misses = _buffers[1];
query(inputs[_metricToPosition[SMUCSensorBase::MEM_INST_RETIRED_ALL_LOADS]]->getName(), timestamp, loads);
query(inputs[_metricToPosition[SMUCSensorBase::MEM_LOAD_UOPS_RETIRED_L3_MISS]]->getName(), timestamp, l3_misses);
reading_t loads_to_l3misses;
if (loads.size() > 0 && l3_misses.size() > 0
&& calculateMetricRatio(loads[0], l3_misses[0], loads_to_l3misses)) {
&& calculateMetricRatio(loads[0], l3_misses[0], loads_to_l3misses, outSensor->getMetadata()->scale)) {
outSensor->storeReading(loads_to_l3misses);
}
}
......@@ -304,7 +304,7 @@ void SMUCNGPerfOperator::computeBRANCH_PER_INSTRUCTIONS(std::vector<SMUCNGPtr>&
query(inputs[_metricToPosition[SMUCSensorBase::INSTRUCTIONS]]->getName(), timestamp, instructions);