public MonitoringUpdateResults Update()
{
float normalizationFactor = dataFabric.GetNormalizationFactor(ref lastUpdateTime);
MonitoringUpdateResults results = new MonitoringUpdateResults();
ThreadAffinity.Set(1UL << monitoringThread);
ulong ctr0 = ReadAndClearMsr(MSR_DF_PERF_CTR_0);
ulong ctr1 = ReadAndClearMsr(MSR_DF_PERF_CTR_1);
ulong ctr2 = ReadAndClearMsr(MSR_DF_PERF_CTR_2);
ulong ctr3 = ReadAndClearMsr(MSR_DF_PERF_CTR_3);
dataFabric.ReadPackagePowerCounter();
results.unitMetrics = new string[4][];
results.unitMetrics[0] = new string[] { "CCM0 DRAM BW?", FormatLargeNumber(ctr0 * normalizationFactor * 64) + "B/s", FormatLargeNumber(ctr0 * normalizationFactor), "N/A" };
results.unitMetrics[1] = new string[] { "CCM1 DRAM BW?", FormatLargeNumber(ctr1 * normalizationFactor * 16) + "B/s", FormatLargeNumber(ctr1 * normalizationFactor), "N/A" };
results.unitMetrics[2] = new string[] { "Mem BW related?", FormatLargeNumber(ctr2 * normalizationFactor * 64) + "B/s", FormatLargeNumber(ctr2 * normalizationFactor), "N/A" };
results.unitMetrics[3] = new string[] { "Wat Dis?", FormatLargeNumber(ctr3 * normalizationFactor * 64) + "B/s", FormatLargeNumber(ctr3 * normalizationFactor), "N/A" };
results.overallMetrics = new string[] { "Overall",
FormatLargeNumber((ctr0 + ctr1 + ctr2 + ctr3) * normalizationFactor * 64) + "B/s",
FormatLargeNumber(ctr0 + ctr1 + ctr2 + ctr3),
string.Format("{0:F2} W", dataFabric.NormalizedTotalCounts.watts) };
results.overallCounterValues = new Tuple <string, float> [5];
results.overallCounterValues[0] = new Tuple <string, float>("Package Power", dataFabric.NormalizedTotalCounts.watts);
results.overallCounterValues[1] = new Tuple <string, float>("Evt 0x07 Umask 2", ctr0);
results.overallCounterValues[2] = new Tuple <string, float>("Evt 0x47 Umask 2", ctr1);
results.overallCounterValues[3] = new Tuple <string, float>("Mem BW? 0x87 Umask 1", ctr2);
results.overallCounterValues[4] = new Tuple <string, float>("Evt 0xC7 Umask 4", ctr3);
return(results);
}
public MonitoringUpdateResults Update()
{
float normalizationFactor = dataFabric.GetNormalizationFactor(ref lastUpdateTime);
MonitoringUpdateResults results = new MonitoringUpdateResults();
results.unitMetrics = new string[4][];
ThreadAffinity.Set(1UL << monitoringThread);
ulong mysteryDramBytes0 = ReadAndClearMsr(MSR_DF_PERF_CTR_0) * 64;
ulong mysteryDramBytes1 = ReadAndClearMsr(MSR_DF_PERF_CTR_1) * 64;
ulong mysteryDramBytes2 = ReadAndClearMsr(MSR_DF_PERF_CTR_2) * 64;
ulong mysteryDramBytes3 = ReadAndClearMsr(MSR_DF_PERF_CTR_3) * 64;
results.unitMetrics[0] = new string[] { "DF Evt 0x07 Umask 0x38", FormatLargeNumber(mysteryDramBytes0 * normalizationFactor) + "B/s" };
results.unitMetrics[1] = new string[] { "DF Evt 0x47 Umask 0x38", FormatLargeNumber(mysteryDramBytes1 * normalizationFactor) + "B/s" };
results.unitMetrics[2] = new string[] { "DF Evt 0x87 Umask 0x38", FormatLargeNumber(mysteryDramBytes2 * normalizationFactor) + "B/s" };
results.unitMetrics[3] = new string[] { "DF Evt 0xC7 Umask 0x38", FormatLargeNumber(mysteryDramBytes3 * normalizationFactor) + "B/s" };
results.overallMetrics = new string[] { "Overall",
FormatLargeNumber((mysteryDramBytes0 + mysteryDramBytes1) * normalizationFactor) + "B/s" };
return(results);
}
