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Add power averager to Nvidia GPU collector

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This commit is contained in:
Thomas Roehl
2024-02-22 20:30:34 +01:00
parent 656e5899b0
commit 2505b2f20b
1 changed files with 187 additions and 66 deletions
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253
collectors/nvidiaMetric.go
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@@ -6,6 +6,7 @@ import (
"fmt"
"log"
"strings"
"sync"
"time"
cclog "github.com/ClusterCockpit/cc-metric-collector/pkg/ccLogger"
@@ -24,6 +25,81 @@ type NvidiaCollectorConfig struct {
ProcessMigDevices bool `json:"process_mig_devices,omitempty"`
UseUuidForMigDevices bool `json:"use_uuid_for_mig_device,omitempty"`
UseSliceForMigDevices bool `json:"use_slice_for_mig_device,omitempty"`
AveragePowerInterval string `json:"average_power_interval,omitempty"`
}
type powerAverager struct {
device nvml.Device
interval time.Duration
done chan bool
wg sync.WaitGroup
powerSum float64
powerSamples int
ticker *time.Ticker
running bool
}
type PowerAverager interface {
Start()
IsRunning() bool
Get() float64
Close()
}
func (pa *powerAverager) IsRunning() bool {
return pa.running
}
func (pa *powerAverager) Start() {
pa.wg.Add(1)
go func(avger *powerAverager) {
avger.running = true
avger.ticker = time.NewTicker(avger.interval)
for {
select {
case <-avger.done:
avger.wg.Done()
avger.running = false
return
case <-avger.ticker.C:
power, ret := nvml.DeviceGetPowerUsage(avger.device)
if ret == nvml.SUCCESS {
avger.powerSum += float64(power) / 1000
avger.powerSamples += 1
}
}
}
}(pa)
}
func (pa *powerAverager) Get() float64 {
avg := float64(0)
if pa.powerSamples > 0 {
pa.ticker.Stop()
avg = pa.powerSum / float64(pa.powerSamples)
pa.powerSum = 0
pa.powerSamples = 0
pa.ticker.Reset(pa.interval)
}
return avg
}
func (pa *powerAverager) Close() {
pa.done <- true
pa.wg.Wait()
pa.running = false
}
func NewPowerAverager(device nvml.Device, interval time.Duration) (PowerAverager, error) {
pa := new(powerAverager)
pa.device = device
pa.interval = interval
pa.done = make(chan bool)
pa.powerSamples = 0
pa.powerSum = 0
pa.running = false
return pa, nil
}
type NvidiaCollectorDevice struct {
@@ -31,6 +107,8 @@ type NvidiaCollectorDevice struct {
excludeMetrics map[string]bool
tags map[string]string
meta map[string]string
powerInterval time.Duration
averager PowerAverager
}
type NvidiaCollector struct {
@@ -55,6 +133,7 @@ func (m *NvidiaCollector) Init(config json.RawMessage) error {
m.config.ProcessMigDevices = false
m.config.UseUuidForMigDevices = false
m.config.UseSliceForMigDevices = false
m.config.AveragePowerInterval = ""
m.setup()
if len(config) > 0 {
err = json.Unmarshal(config, &m.config)
@@ -93,6 +172,16 @@ func (m *NvidiaCollector) Init(config json.RawMessage) error {
return err
}
powerDur := time.Duration(0)
if len(m.config.AveragePowerInterval) > 0 {
d, err := time.ParseDuration(m.config.AveragePowerInterval)
if err != nil {
cclog.ComponentError(m.name, "Unable to parse average_power_interval ", m.config.AveragePowerInterval, ":", err.Error())
return err
}
powerDur = d
}
// For all GPUs
idx := 0
m.gpus = make([]NvidiaCollectorDevice, num_gpus)
@@ -197,6 +286,15 @@ func (m *NvidiaCollector) Init(config json.RawMessage) error {
g.excludeMetrics[e] = true
}
if powerDur > 0 {
a, err := NewPowerAverager(g.device, powerDur)
if err != nil {
cclog.ComponentError(m.name, "Failed to initialize power averager for device at index", i, ":", err.Error())
} else {
g.averager = a
}
}
// Increment the index for the next device
idx++
}
@@ -436,6 +534,21 @@ func readPerfState(device NvidiaCollectorDevice, output chan lp.CCMetric) error
return nil
}
func readPowerUsageAverage(device NvidiaCollectorDevice, output chan lp.CCMetric) error {
if !device.excludeMetrics["nv_power_usage_avg"] && device.averager != nil {
if !device.averager.IsRunning() {
device.averager.Start()
} else {
y, err := lp.New("nv_power_usage_avg", device.tags, device.meta, map[string]interface{}{"value": device.averager.Get()}, time.Now())
if err == nil {
y.AddMeta("unit", "watts")
output <- y
}
}
}
return nil
}
func readPowerUsage(device NvidiaCollectorDevice, output chan lp.CCMetric) error {
if !device.excludeMetrics["nv_power_usage"] {
// Retrieves power usage for this GPU in milliwatts and its associated circuitry (e.g. memory)
@@ -1022,95 +1135,100 @@ func (m *NvidiaCollector) Read(interval time.Duration, output chan lp.CCMetric)
if ret != nvml.SUCCESS {
name = "NoName"
}
err = readMemoryInfo(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readMemoryInfo for device", name, "failed")
}
// err = readMemoryInfo(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readMemoryInfo for device", name, "failed")
// }
err = readUtilization(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readUtilization for device", name, "failed")
}
// err = readUtilization(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readUtilization for device", name, "failed")
// }
err = readTemp(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readTemp for device", name, "failed")
}
// err = readTemp(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readTemp for device", name, "failed")
// }
err = readFan(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readFan for device", name, "failed")
}
// err = readFan(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readFan for device", name, "failed")
// }
err = readEccMode(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readEccMode for device", name, "failed")
}
// err = readEccMode(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readEccMode for device", name, "failed")
// }
err = readPerfState(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readPerfState for device", name, "failed")
}
// err = readPerfState(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readPerfState for device", name, "failed")
// }
err = readPowerUsage(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readPowerUsage for device", name, "failed")
}
err = readClocks(device, output)
err = readPowerUsageAverage(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readClocks for device", name, "failed")
cclog.ComponentDebug(m.name, "readPowerUsageAverage for device", name, "failed")
}
err = readMaxClocks(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readMaxClocks for device", name, "failed")
}
// err = readClocks(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readClocks for device", name, "failed")
// }
err = readEccErrors(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readEccErrors for device", name, "failed")
}
// err = readMaxClocks(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readMaxClocks for device", name, "failed")
// }
err = readPowerLimit(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readPowerLimit for device", name, "failed")
}
// err = readEccErrors(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readEccErrors for device", name, "failed")
// }
err = readEncUtilization(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readEncUtilization for device", name, "failed")
}
// err = readPowerLimit(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readPowerLimit for device", name, "failed")
// }
err = readDecUtilization(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readDecUtilization for device", name, "failed")
}
// err = readEncUtilization(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readEncUtilization for device", name, "failed")
// }
err = readRemappedRows(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readRemappedRows for device", name, "failed")
}
// err = readDecUtilization(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readDecUtilization for device", name, "failed")
// }
err = readBarMemoryInfo(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readBarMemoryInfo for device", name, "failed")
}
// err = readRemappedRows(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readRemappedRows for device", name, "failed")
// }
err = readProcessCounts(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readProcessCounts for device", name, "failed")
}
// err = readBarMemoryInfo(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readBarMemoryInfo for device", name, "failed")
// }
err = readViolationStats(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readViolationStats for device", name, "failed")
}
// err = readProcessCounts(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readProcessCounts for device", name, "failed")
// }
err = readNVLinkStats(device, output)
if err != nil {
cclog.ComponentDebug(m.name, "readNVLinkStats for device", name, "failed")
}
// err = readViolationStats(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readViolationStats for device", name, "failed")
// }
// err = readNVLinkStats(device, output)
// if err != nil {
// cclog.ComponentDebug(m.name, "readNVLinkStats for device", name, "failed")
// }
}
// Actual read loop over all attached Nvidia GPUs
@@ -1198,6 +1316,9 @@ func (m *NvidiaCollector) Read(interval time.Duration, output chan lp.CCMetric)
func (m *NvidiaCollector) Close() {
if m.init {
for i := 0; i < m.num_gpus; i++ {
m.gpus[i].averager.Close()
}
nvml.Shutdown()
m.init = false
}