mirror of
https://github.com/servo/servo.git
synced 2025-06-06 16:45:39 +00:00
Add energy monitoring and characterization scripts
This commit is contained in:
Connor Imes
parent
0d37e8f96b
commit
3c25f47dbc
11 changed files with 834 additions and 5 deletions
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@ -33,6 +33,7 @@ special integration:
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* [`tests/ref`][tests/ref]: Reference tests.
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* [`tests/html`][tests/html]: Manual test cases and examples.
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* [`tests/power`][tests/power]: Tests for measuring power usage.
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* [`tests/heartbeats`][tests/heartbeats]: Tests for profiler-level timing and energy behavior.
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* [`tests/wpt`][tests/wpt]: Web platform tests and harness.
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## Miscellaneous
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@ -51,6 +51,7 @@ pub fn init() {
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maybe_create_heartbeat(&mut hbs, ProfilerCategory::ScriptWebSocketEvent);
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maybe_create_heartbeat(&mut hbs, ProfilerCategory::ScriptWorkerEvent);
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maybe_create_heartbeat(&mut hbs, ProfilerCategory::ScriptXhrEvent);
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maybe_create_heartbeat(&mut hbs, ProfilerCategory::ApplicationHeartbeat);
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unsafe {
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HBS = Some(mem::transmute(Box::new(hbs)));
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}
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@ -71,6 +72,12 @@ pub fn cleanup() {
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}
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}
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pub fn is_heartbeat_enabled(category: &ProfilerCategory) -> bool {
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unsafe {
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HBS.map_or(false, |m| (*m).contains_key(category))
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}
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}
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/// Issue a heartbeat (if one exists) for the given category
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pub fn maybe_heartbeat(category: &ProfilerCategory,
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start_time: u64,
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@ -6,12 +6,14 @@
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use heartbeats;
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use ipc_channel::ipc::{self, IpcReceiver};
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use profile_traits::energy::{energy_interval_ms, read_energy_uj};
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use profile_traits::time::{ProfilerCategory, ProfilerChan, ProfilerMsg, TimerMetadata};
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use std::borrow::ToOwned;
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use std::cmp::Ordering;
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use std::collections::BTreeMap;
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use std::f64;
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use std::thread::sleep_ms;
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use std_time::precise_time_ns;
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use util::task::spawn_named;
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pub trait Formattable {
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@ -93,6 +95,7 @@ impl Formattable for ProfilerCategory {
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ProfilerCategory::ScriptWebSocketEvent => "Script Web Socket Event",
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ProfilerCategory::ScriptWorkerEvent => "Script Worker Event",
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ProfilerCategory::ScriptXhrEvent => "Script Xhr Event",
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ProfilerCategory::ApplicationHeartbeat => "Application Heartbeat",
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};
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format!("{}{}", padding, name)
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}
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@ -141,8 +144,49 @@ impl Profiler {
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}
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}
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heartbeats::init();
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let profiler_chan = ProfilerChan(chan);
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ProfilerChan(chan)
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// only spawn the application-level profiler thread if its heartbeat is enabled
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let run_ap_thread = || {
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heartbeats::is_heartbeat_enabled(&ProfilerCategory::ApplicationHeartbeat)
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};
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if run_ap_thread() {
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let profiler_chan = profiler_chan.clone();
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// min of 1 heartbeat/sec, max of 20 should provide accurate enough power/energy readings
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// waking up more frequently allows the thread to end faster on exit
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const SLEEP_MS: u32 = 10;
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const MIN_ENERGY_INTERVAL_MS: u32 = 50;
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const MAX_ENERGY_INTERVAL_MS: u32 = 1000;
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let interval_ms = enforce_range(MIN_ENERGY_INTERVAL_MS, MAX_ENERGY_INTERVAL_MS, energy_interval_ms());
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let loop_count: u32 = (interval_ms as f32 / SLEEP_MS as f32).ceil() as u32;
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spawn_named("Application heartbeat profiler".to_owned(), move || {
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let mut start_time = precise_time_ns();
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let mut start_energy = read_energy_uj();
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loop {
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for _ in 0..loop_count {
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match run_ap_thread() {
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true => sleep_ms(SLEEP_MS),
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false => return,
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}
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}
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let end_time = precise_time_ns();
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let end_energy = read_energy_uj();
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// send using the inner channel
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// (using ProfilerChan.send() forces an unwrap and sometimes panics for this background profiler)
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let ProfilerChan(ref c) = profiler_chan;
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match c.send(ProfilerMsg::Time((ProfilerCategory::ApplicationHeartbeat, None),
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(start_time, end_time),
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(start_energy, end_energy))) {
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Ok(_) => {},
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Err(_) => return,
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};
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start_time = end_time;
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start_energy = end_energy;
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}
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});
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}
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profiler_chan
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}
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pub fn new(port: IpcReceiver<ProfilerMsg>) -> Profiler {
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@ -178,8 +222,8 @@ impl Profiler {
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fn handle_msg(&mut self, msg: ProfilerMsg) -> bool {
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match msg.clone() {
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ProfilerMsg::Time(k, t) => {
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heartbeats::maybe_heartbeat(&k.0, t.0, t.1, 0, 0);
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ProfilerMsg::Time(k, t, e) => {
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heartbeats::maybe_heartbeat(&k.0, t.0, t.1, e.0, e.1);
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let ms = (t.1 - t.0) as f64 / 1000000f64;
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self.find_or_insert(k, ms);
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},
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@ -224,3 +268,16 @@ impl Profiler {
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println!("");
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}
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}
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fn enforce_range<T>(min: T, max: T, value: T) -> T where T: Ord {
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assert!(min <= max);
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match value.cmp(&max) {
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Ordering::Equal | Ordering::Greater => max,
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Ordering::Less => {
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match value.cmp(&min) {
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Ordering::Equal | Ordering::Less => min,
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Ordering::Greater => value,
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}
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},
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}
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}
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@ -7,6 +7,9 @@ authors = ["The Servo Project Developers"]
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name = "profile_traits"
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path = "lib.rs"
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[features]
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energy-profiling = ["energymon", "energy-monitor"]
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[dependencies.ipc-channel]
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git = "https://github.com/pcwalton/ipc-channel"
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@ -14,6 +17,15 @@ git = "https://github.com/pcwalton/ipc-channel"
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version = "0.2"
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features = [ "serde_serialization" ]
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[dependencies.energymon]
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git = "https://github.com/energymon/energymon-rust.git"
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rev = "67f74732ac"
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optional = true
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[dependencies.energy-monitor]
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version = "0.1.0"
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optional = true
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[dependencies]
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serde = "0.5"
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serde_macros = "0.5"
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63
components/profile_traits/energy.rs
Normal file
63
components/profile_traits/energy.rs
Normal file
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@ -0,0 +1,63 @@
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/* This Source Code Form is subject to the terms of the Mozilla Public
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* License, v. 2.0. If a copy of the MPL was not distributed with this
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* file, You can obtain one at http://mozilla.org/MPL/2.0/. */
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#[cfg(feature = "energy-profiling")]
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pub fn read_energy_uj() -> u64 {
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energymon::read_energy_uj()
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}
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#[cfg(not(feature = "energy-profiling"))]
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pub fn read_energy_uj() -> u64 {
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0
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}
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#[cfg(feature = "energy-profiling")]
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pub fn energy_interval_ms() -> u32 {
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energymon::get_min_interval_ms()
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}
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#[cfg(not(feature = "energy-profiling"))]
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pub fn energy_interval_ms() -> u32 {
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1000
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}
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#[cfg(feature = "energy-profiling")]
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mod energymon {
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extern crate energymon;
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extern crate energy_monitor;
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use self::energy_monitor::EnergyMonitor;
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use self::energymon::EnergyMon;
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use std::mem;
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use std::sync::{Once, ONCE_INIT};
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static mut EM: Option<*mut EnergyMon> = None;
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/// Read energy from the energy monitor, otherwise return 0.
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pub fn read_energy_uj() -> u64 {
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static ONCE: Once = ONCE_INIT;
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ONCE.call_once(|| {
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if let Ok(em) = EnergyMon::new() {
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println!("Started energy monitoring from: {}", em.source());
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unsafe {
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EM = Some(mem::transmute(Box::new(em)));
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}
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}
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});
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unsafe {
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// EnergyMon implementations of EnergyMonitor always return a value
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EM.map_or(0, |em| (*em).read_uj().unwrap())
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}
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}
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pub fn get_min_interval_ms() -> u32 {
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unsafe {
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EM.map_or(0, |em| ((*em).interval_us() as f64 / 1000.0).ceil() as u32)
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}
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}
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}
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@ -13,6 +13,7 @@
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extern crate ipc_channel;
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extern crate serde;
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pub mod energy;
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pub mod mem;
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pub mod time;
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@ -5,6 +5,7 @@
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extern crate time as std_time;
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extern crate url;
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use energy::read_energy_uj;
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use ipc_channel::ipc::IpcSender;
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use self::std_time::precise_time_ns;
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use self::url::Url;
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@ -29,7 +30,7 @@ impl ProfilerChan {
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#[derive(Clone, Deserialize, Serialize)]
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pub enum ProfilerMsg {
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/// Normal message used for reporting time
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Time((ProfilerCategory, Option<TimerMetadata>), (u64, u64)),
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Time((ProfilerCategory, Option<TimerMetadata>), (u64, u64), (u64, u64)),
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/// Message used to force print the profiling metrics
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Print,
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/// Tells the profiler to shut down.
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@ -72,6 +73,7 @@ pub enum ProfilerCategory {
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ScriptWebSocketEvent,
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ScriptWorkerEvent,
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ScriptXhrEvent,
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ApplicationHeartbeat,
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}
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#[derive(Eq, PartialEq)]
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@ -96,15 +98,19 @@ pub fn profile<T, F>(category: ProfilerCategory,
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-> T
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where F: FnOnce() -> T
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{
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let start_energy = read_energy_uj();
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let start_time = precise_time_ns();
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let val = callback();
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let end_time = precise_time_ns();
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let end_energy = read_energy_uj();
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let meta = meta.map(|(url, iframe, reflow_type)|
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TimerMetadata {
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url: url.serialize(),
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iframe: iframe == TimerMetadataFrameType::IFrame,
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incremental: reflow_type == TimerMetadataReflowType::Incremental,
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});
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profiler_chan.send(ProfilerMsg::Time((category, meta), (start_time, end_time)));
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profiler_chan.send(ProfilerMsg::Time((category, meta),
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(start_time, end_time),
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(start_energy, end_energy)));
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return val;
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}
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36
components/servo/Cargo.lock
generated
36
components/servo/Cargo.lock
generated
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@ -435,6 +435,40 @@ name = "encoding_index_tests"
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version = "0.1.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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name = "energy-monitor"
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version = "0.1.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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name = "energymon"
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version = "0.1.0"
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source = "git+https://github.com/energymon/energymon-rust.git?rev=67f74732ac#67f74732ac0acc682659f7e81836155a32188fd0"
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dependencies = [
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"energy-monitor 0.1.0 (registry+https://github.com/rust-lang/crates.io-index)",
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"energymon-default-sys 0.1.0 (git+https://github.com/energymon/energymon-default-sys.git)",
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"energymon-sys 0.1.0 (git+https://github.com/energymon/energymon-sys.git)",
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"libc 0.1.8 (registry+https://github.com/rust-lang/crates.io-index)",
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]
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[[package]]
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name = "energymon-default-sys"
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version = "0.1.0"
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source = "git+https://github.com/energymon/energymon-default-sys.git#3e83c0ad72d9729f7f6b297e4c55dfa8b1db32ac"
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dependencies = [
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"energymon-sys 0.1.0 (git+https://github.com/energymon/energymon-sys.git)",
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"libc 0.1.8 (registry+https://github.com/rust-lang/crates.io-index)",
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"pkg-config 0.3.5 (registry+https://github.com/rust-lang/crates.io-index)",
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]
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[[package]]
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name = "energymon-sys"
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version = "0.1.0"
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source = "git+https://github.com/energymon/energymon-sys.git#770d2cfe0373cf833992352b50dfdceb7a42b2e6"
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dependencies = [
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"libc 0.1.8 (registry+https://github.com/rust-lang/crates.io-index)",
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]
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[[package]]
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name = "env_logger"
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version = "0.3.1"
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@ -1282,6 +1316,8 @@ dependencies = [
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name = "profile_traits"
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version = "0.0.1"
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dependencies = [
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"energy-monitor 0.1.0 (registry+https://github.com/rust-lang/crates.io-index)",
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"energymon 0.1.0 (git+https://github.com/energymon/energymon-rust.git?rev=67f74732ac)",
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"ipc-channel 0.1.0 (git+https://github.com/pcwalton/ipc-channel)",
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"serde 0.5.3 (registry+https://github.com/rust-lang/crates.io-index)",
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"serde_macros 0.5.1 (registry+https://github.com/rust-lang/crates.io-index)",
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@ -45,6 +45,7 @@ default = ["glutin_app", "window", "webdriver"]
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window = ["glutin_app/window"]
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headless = ["glutin_app/headless"]
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webdriver = ["webdriver_server"]
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energy-profiling = ["profile_traits/energy-profiling"]
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# Uncomment to profile on Linux:
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#
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247
tests/heartbeats/characterize.py
Normal file
247
tests/heartbeats/characterize.py
Normal file
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@ -0,0 +1,247 @@
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#!/usr/bin/env python
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# This Source Code Form is subject to the terms of the Mozilla Public
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# License, v. 2.0. If a copy of the MPL was not distributed with this
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# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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import sys
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import os
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from os import path
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import time
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import datetime
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import argparse
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import platform
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import subprocess
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TOP_DIR = path.join("..", "..")
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GUARD_TIME = 10
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HEARTBEAT_DEFAULT_WINDOW_SIZE = 20
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# Use a larger window sizes to reduce or prevent writing log files until benchmark completion
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# (profiler name, window size)
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HEARTBEAT_PROFILER_CATEGORIES = [
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("Compositing", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutPerform", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutStyleRecalc", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutRestyleDamagePropagation", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutNonIncrementalReset", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutSelectorMatch", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutTreeBuilder", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutDamagePropagate", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutGeneratedContent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutMain", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutParallelWarmup", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutShaping", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("LayoutDispListBuild", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("PaintingPerTile", 50),
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("PaintingPrepBuff", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("Painting", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ImageDecoding", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptAttachLayout", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptConstellationMsg", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptDevtoolsMsg", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptDocumentEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptDomEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptFileRead", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptImageCacheMsg", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptInputEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptNetworkEvent", 200),
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("ScriptResize", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptUpdateReplacedElement", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptSetViewport", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptWebSocketEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptWorkerEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ScriptXhrEvent", HEARTBEAT_DEFAULT_WINDOW_SIZE),
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("ApplicationHeartbeat", 100)
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]
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ENERGY_READER_BIN = "energymon"
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ENERGY_READER_TEMP_OUTPUT = "energymon.txt"
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SUMMARY_OUTPUT = "summary.txt"
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def get_command(build_target, layout_thread_count, renderer, page, profile):
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"""Get the command to execute.
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"""
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return path.join(TOP_DIR, "target", build_target, "servo") + \
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" -p %d -x -y %d %s -Z profile-script-events '%s'" % \
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(profile, layout_thread_count, renderer, page)
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def set_app_environment(log_dir):
|
||||
"""Set environment variables to enable heartbeats.
|
||||
"""
|
||||
prefix = "heartbeat-"
|
||||
for (profiler, window) in HEARTBEAT_PROFILER_CATEGORIES:
|
||||
os.environ["SERVO_HEARTBEAT_ENABLE_" + profiler] = ""
|
||||
os.environ["SERVO_HEARTBEAT_LOG_" + profiler] = path.join(log_dir, prefix + profiler + ".log")
|
||||
os.environ["SERVO_HEARTBEAT_WINDOW_" + profiler] = str(window)
|
||||
|
||||
|
||||
def start_energy_reader():
|
||||
"""Energy reader writes to a file that we will poll.
|
||||
"""
|
||||
os.system(ENERGY_READER_BIN + " " + ENERGY_READER_TEMP_OUTPUT + "&")
|
||||
|
||||
|
||||
def stop_energy_reader():
|
||||
"""Stop the energy reader and remove its temp file.
|
||||
"""
|
||||
os.system("pkill -x " + ENERGY_READER_BIN)
|
||||
os.remove(ENERGY_READER_TEMP_OUTPUT)
|
||||
|
||||
|
||||
def read_energy():
|
||||
"""Poll the energy reader's temp file.
|
||||
"""
|
||||
data = 0
|
||||
with open(ENERGY_READER_TEMP_OUTPUT, "r") as em:
|
||||
data = int(em.read().replace('\n', ''))
|
||||
return data
|
||||
|
||||
|
||||
def git_rev_hash():
|
||||
"""Get the git revision hash.
|
||||
"""
|
||||
return subprocess.check_output(['git', 'rev-parse', 'HEAD']).rstrip()
|
||||
|
||||
|
||||
def git_rev_hash_short():
|
||||
"""Get the git revision short hash.
|
||||
"""
|
||||
return subprocess.check_output(['git', 'rev-parse', '--short', 'HEAD']).rstrip()
|
||||
|
||||
|
||||
def execute(base_dir, build_target, renderer, page, profile, trial, layout_thread_count):
|
||||
"""Run a single execution.
|
||||
"""
|
||||
log_dir = path.join(base_dir, "logs_l" + str(layout_thread_count),
|
||||
"trial_" + str(trial))
|
||||
if os.path.exists(log_dir):
|
||||
print "Log directory already exists: " + log_dir
|
||||
sys.exit(1)
|
||||
os.makedirs(log_dir)
|
||||
|
||||
set_app_environment(log_dir)
|
||||
cmd = get_command(build_target, layout_thread_count, renderer, page, profile)
|
||||
|
||||
# Execute
|
||||
start_energy_reader()
|
||||
print 'sleep ' + str(GUARD_TIME)
|
||||
time.sleep(GUARD_TIME)
|
||||
time_start = time.time()
|
||||
energy_start = read_energy()
|
||||
print cmd
|
||||
os.system(cmd)
|
||||
energy_end = read_energy()
|
||||
time_end = time.time()
|
||||
stop_energy_reader()
|
||||
print 'sleep ' + str(GUARD_TIME)
|
||||
time.sleep(GUARD_TIME)
|
||||
|
||||
uj = energy_end - energy_start
|
||||
latency = time_end - time_start
|
||||
watts = uj / 1000000.0 / latency
|
||||
# Write a file that describes this execution
|
||||
with open(path.join(log_dir, SUMMARY_OUTPUT), "w") as f:
|
||||
f.write("Datetime (UTC): " + datetime.datetime.utcnow().isoformat())
|
||||
f.write("\nPlatform: " + platform.platform())
|
||||
f.write("\nGit hash: " + git_rev_hash())
|
||||
f.write("\nGit short hash: " + git_rev_hash_short())
|
||||
f.write("\nRelease: " + build_target)
|
||||
f.write("\nLayout threads: " + str(layout_thread_count))
|
||||
f.write("\nTrial: " + str(trial))
|
||||
f.write("\nCommand: " + cmd)
|
||||
f.write("\nTime (sec): " + str(latency))
|
||||
f.write("\nEnergy (uJ): " + str(uj))
|
||||
f.write("\nPower (W): " + str(watts))
|
||||
|
||||
|
||||
def characterize(build_target, base_dir, (min_layout_threads, max_layout_threads), renderer, page, profile, trials):
|
||||
"""Run all configurations and capture results.
|
||||
"""
|
||||
for layout_thread_count in xrange(min_layout_threads, max_layout_threads + 1):
|
||||
for trial in xrange(1, trials + 1):
|
||||
execute(base_dir, build_target, renderer, page, profile, trial, layout_thread_count)
|
||||
|
||||
|
||||
def main():
|
||||
"""For this script to be useful, the following conditions are needed:
|
||||
- HEARTBEAT_PROFILER_CATEGORIES should be aligned with the profiler categories in the source code.
|
||||
- The "energymon" project needs to be installed to the system (libraries and the "energymon" binary).
|
||||
- The "default" energymon library will be used - make sure you choose one that is useful for your system setup
|
||||
when installing energymon.
|
||||
- Build servo in release mode with the "energy-profiling" feature enabled (this links with the energymon lib).
|
||||
"""
|
||||
# Default max number of layout threads
|
||||
max_layout_threads = 1
|
||||
# Default benchmark
|
||||
benchmark = path.join(TOP_DIR, "tests", "html", "perf-rainbow.html")
|
||||
# Default renderer
|
||||
renderer = "-c"
|
||||
# Default output directory
|
||||
output_dir = "heartbeat_logs"
|
||||
# Default build target
|
||||
build_target = "release"
|
||||
# Default profile interval
|
||||
profile = 60
|
||||
# Default single argument
|
||||
single = False
|
||||
# Default number of trials
|
||||
trials = 1
|
||||
|
||||
# Parsing the input of the script
|
||||
parser = argparse.ArgumentParser(description="Characterize Servo timing and energy behavior")
|
||||
parser.add_argument("-b", "--benchmark",
|
||||
default=benchmark,
|
||||
help="Gets the benchmark, for example \"-b http://www.example.com\"")
|
||||
parser.add_argument("-d", "--debug",
|
||||
action='store_true',
|
||||
help="Use debug build instead of release build")
|
||||
parser.add_argument("-g", "--gpu",
|
||||
action='store_true',
|
||||
help="Rendering with GPU instead of CPU")
|
||||
parser.add_argument("-l", "--max_layout_threads",
|
||||
help="Specify the maximum number of threads for layout, for example \"-l 5\"")
|
||||
parser.add_argument("-o", "--output",
|
||||
help="Specify the log output directory, for example \"-o heartbeat_logs\"")
|
||||
parser.add_argument("-p", "--profile",
|
||||
default=60,
|
||||
help="Profiler output interval, for example \"-p 60\"")
|
||||
parser.add_argument("-s", "--single",
|
||||
action='store_true',
|
||||
help="Just run a single trial of the config provided, for example \"-s\"")
|
||||
parser.add_argument("-t", "--trials",
|
||||
default=1,
|
||||
type=int,
|
||||
help="Number of trials to run for each configuration, for example \"-t 1\"")
|
||||
|
||||
args = parser.parse_args()
|
||||
if args.benchmark:
|
||||
benchmark = args.benchmark
|
||||
if args.debug:
|
||||
build_target = "debug"
|
||||
if args.gpu:
|
||||
renderer = "-g"
|
||||
if args.max_layout_threads:
|
||||
max_layout_threads = int(args.max_layout_threads)
|
||||
if args.output:
|
||||
output_dir = args.output
|
||||
if args.profile:
|
||||
profile = args.profile
|
||||
if args.single:
|
||||
single = True
|
||||
if args.trials:
|
||||
trials = args.trials
|
||||
|
||||
if os.path.exists(output_dir):
|
||||
print "Output directory already exists: " + output_dir
|
||||
sys.exit(1)
|
||||
os.makedirs(output_dir)
|
||||
|
||||
if single:
|
||||
execute(output_dir, build_target, renderer, benchmark, profile, trials, max_layout_threads)
|
||||
else:
|
||||
characterize(build_target, output_dir, (1, max_layout_threads), renderer, benchmark, profile, trials)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
398
tests/heartbeats/process_logs.py
Normal file
398
tests/heartbeats/process_logs.py
Normal file
|
|
@ -0,0 +1,398 @@
|
|||
#!/usr/bin/env python
|
||||
|
||||
# This Source Code Form is subject to the terms of the Mozilla Public
|
||||
# License, v. 2.0. If a copy of the MPL was not distributed with this
|
||||
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
||||
|
||||
import argparse
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
import os
|
||||
from os import path
|
||||
import sys
|
||||
import warnings
|
||||
|
||||
HB_LOG_IDX_START_TIME = 7
|
||||
HB_LOG_IDX_END_TIME = HB_LOG_IDX_START_TIME + 1
|
||||
HB_LOG_IDX_START_ENERGY = 14
|
||||
HB_LOG_IDX_END_ENERGY = HB_LOG_IDX_START_ENERGY + 1
|
||||
|
||||
ENERGY_PROFILER_NAME = 'ApplicationHeartbeat'
|
||||
SUMMARY_OUTPUT = "summary.txt"
|
||||
SUMMARY_TIME_IDX = 8
|
||||
SUMMARY_ENERGY_IDX = SUMMARY_TIME_IDX + 1
|
||||
SUMMARY_POWER_IDX = SUMMARY_ENERGY_IDX + 1
|
||||
|
||||
|
||||
def autolabel(rects, ax):
|
||||
"""Attach some text labels.
|
||||
"""
|
||||
for rect in rects:
|
||||
ax.text(rect.get_x() + rect.get_width() / 2., 1.05 * rect.get_height(), '', ha='center', va='bottom')
|
||||
|
||||
|
||||
def plot_raw_totals(config, plot_data, max_time, max_time_std, max_energy, max_energy_std, output_dir, normalize):
|
||||
"""Plot the raw totals for a configuration.
|
||||
|
||||
Keyword arguments:
|
||||
config -- configuration name
|
||||
plot_data -- (profiler name, total_time, total_time_std, total_energy, total_energy_std)
|
||||
max_time, max_time_std, max_energy, max_energy_std -- single values
|
||||
normalize -- True/False
|
||||
"""
|
||||
plot_data = sorted(plot_data)
|
||||
keys = [p for (p, tt, tts, te, tes) in plot_data]
|
||||
total_times = [tt for (p, tt, tts, te, tes) in plot_data]
|
||||
total_times_std = [tts for (p, tt, tts, te, tes) in plot_data]
|
||||
total_energies = [te for (p, tt, tts, te, tes) in plot_data]
|
||||
total_energies_std = [tes for (p, tt, tts, te, tes) in plot_data]
|
||||
|
||||
fig, ax1 = plt.subplots()
|
||||
ind = np.arange(len(keys)) # the x locations for the groups
|
||||
width = 0.35 # the width of the bars
|
||||
# add some text for labels, title and axes ticks
|
||||
ax1.set_title('Time/Energy Data for Configuration ' + config)
|
||||
ax1.set_xticks(ind + width)
|
||||
ax1.set_xticklabels(keys, rotation=45)
|
||||
fig.set_tight_layout(True)
|
||||
fig.set_size_inches(len(plot_data) / 1.5, 8)
|
||||
|
||||
ax2 = ax1.twinx()
|
||||
|
||||
# Normalize
|
||||
if normalize:
|
||||
total_times_std /= np.sum(total_times)
|
||||
total_times /= np.sum(total_times)
|
||||
total_energies_std /= np.sum(total_energies)
|
||||
total_energies /= np.sum(total_energies)
|
||||
ax1.set_ylabel('Time (Normalized)')
|
||||
ax2.set_ylabel('Energy (Normalized)')
|
||||
else:
|
||||
# set time in us instead of ns
|
||||
total_times_std /= np.array(1000000.0)
|
||||
total_times /= np.array(1000000.0)
|
||||
total_energies_std /= np.array(1000000.0)
|
||||
total_energies /= np.array(1000000.0)
|
||||
ax1.set_ylabel('Time (ms)')
|
||||
ax2.set_ylabel('Energy (Joules)')
|
||||
|
||||
rects1 = ax1.bar(ind, total_times, width, color='r', yerr=total_times_std)
|
||||
rects2 = ax2.bar(ind + width, total_energies, width, color='y', yerr=total_energies_std)
|
||||
ax1.legend([rects1[0], rects2[0]], ['Time', 'Energy'])
|
||||
|
||||
# set axis
|
||||
x1, x2, y1, y2 = plt.axis()
|
||||
if normalize:
|
||||
ax1.set_ylim(ymin=0, ymax=1)
|
||||
ax2.set_ylim(ymin=0, ymax=1)
|
||||
else:
|
||||
ax1.set_ylim(ymin=0, ymax=((max_time + max_time_std) * 1.25 / 1000000.0))
|
||||
ax2.set_ylim(ymin=0, ymax=((max_energy + max_energy_std) * 1.25 / 1000000.0))
|
||||
|
||||
autolabel(rects1, ax1)
|
||||
autolabel(rects2, ax2)
|
||||
|
||||
# plt.show()
|
||||
plt.savefig(path.join(output_dir, config + ".png"))
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def create_raw_total_data(config_data):
|
||||
"""Get the raw data to plot for a configuration
|
||||
Return: [(profiler, time_mean, time_stddev, energy_mean, energy_stddev)]
|
||||
|
||||
Keyword arguments:
|
||||
config_data -- (trial, trial_data)
|
||||
"""
|
||||
# We can't assume that the same number of heartbeats are always issued across trials
|
||||
# key: profiler name; value: list of timing sums for each trial
|
||||
profiler_total_times = {}
|
||||
# key: profiler name; value: list of energy sums for each trial
|
||||
profiler_total_energies = {}
|
||||
for (t, td) in config_data:
|
||||
for (profiler, ts, te, es, ee) in td:
|
||||
# sum the total times and energies for each profiler in this trial
|
||||
total_time = np.sum(te - ts)
|
||||
total_energy = np.sum(ee - es)
|
||||
# add to list to be averaged later
|
||||
time_list = profiler_total_times.get(profiler, [])
|
||||
time_list.append(total_time)
|
||||
profiler_total_times[profiler] = time_list
|
||||
energy_list = profiler_total_energies.get(profiler, [])
|
||||
energy_list.append(total_energy)
|
||||
profiler_total_energies[profiler] = energy_list
|
||||
|
||||
# Get mean and stddev for time and energy totals
|
||||
return [(profiler,
|
||||
np.mean(profiler_total_times[profiler]),
|
||||
np.std(profiler_total_times[profiler]),
|
||||
np.mean(profiler_total_energies[profiler]),
|
||||
np.std(profiler_total_energies[profiler]))
|
||||
for profiler in profiler_total_times.keys()]
|
||||
|
||||
|
||||
def plot_all_raw_totals(config_list, output_dir):
|
||||
"""Plot column charts of the raw total time/energy spent in each profiler category.
|
||||
|
||||
Keyword arguments:
|
||||
config_list -- [(config, result of process_config_dir(...))]
|
||||
output_dir -- where to write plots to
|
||||
"""
|
||||
raw_total_norm_out_dir = path.join(output_dir, 'raw_totals_normalized')
|
||||
os.makedirs(raw_total_norm_out_dir)
|
||||
raw_total_out_dir = path.join(output_dir, 'raw_totals')
|
||||
os.makedirs(raw_total_out_dir)
|
||||
|
||||
# (name, (profiler, (time_mean, time_stddev, energy_mean, energy_stddev)))
|
||||
raw_totals_data = [(config, create_raw_total_data(config_data)) for (config, config_data) in config_list]
|
||||
|
||||
mean_times = []
|
||||
mean_times_std = []
|
||||
mean_energies = []
|
||||
mean_energies_std = []
|
||||
for profiler_tup in [config_tup[1] for config_tup in raw_totals_data]:
|
||||
for (p, tt, tts, te, tes) in profiler_tup:
|
||||
mean_times.append(tt)
|
||||
mean_times_std.append(tts)
|
||||
mean_energies.append(te)
|
||||
mean_energies_std.append(tes)
|
||||
# get consistent max time/energy values across plots
|
||||
max_t = np.max(mean_times)
|
||||
max_t_std = np.max(mean_times_std)
|
||||
max_e = np.max(mean_energies)
|
||||
max_e_std = np.max(mean_energies_std)
|
||||
[plot_raw_totals(data[0], data[1], max_t, max_t_std, max_e, max_e_std, raw_total_norm_out_dir, True)
|
||||
for data in raw_totals_data]
|
||||
[plot_raw_totals(data[0], data[1], max_t, max_t_std, max_e, max_e_std, raw_total_out_dir, False)
|
||||
for data in raw_totals_data]
|
||||
|
||||
|
||||
def plot_trial_time_series(config, trial, trial_data, max_end_time, max_power, output_dir):
|
||||
"""Plot time series for a single trial.
|
||||
|
||||
Keyword arguments:
|
||||
config -- the config name
|
||||
trial -- the trial name
|
||||
trial_data -- [(profiler, [start times], [end times], [start energies], [end energies])]
|
||||
max_end_time -- single value to use as max X axis value (for consistency across trials)
|
||||
output_dir -- the output directory
|
||||
"""
|
||||
# TODO: Some profilers may have parallel tasks - need to identify this on plots
|
||||
max_end_time = max_end_time / 1000000.0
|
||||
trial_data = sorted(trial_data)
|
||||
fig, ax1 = plt.subplots()
|
||||
keys = [p for (p, ts, te, es, ee) in trial_data]
|
||||
# add some text for labels, title and axes ticks
|
||||
ax1.set_title('Profiler Activity for ' + config + ', ' + trial)
|
||||
ax1.set_xlabel('Time (ms)')
|
||||
ax1.grid(True)
|
||||
width = 8 # the width of the bars
|
||||
ax1.set_yticks(10 * np.arange(1, len(keys) + 2))
|
||||
ax1.set_yticklabels(keys)
|
||||
ax1.set_ylim(ymin=0, ymax=((len(trial_data) + 1) * 10))
|
||||
ax1.set_xlim(xmin=0, xmax=max_end_time)
|
||||
fig.set_tight_layout(True)
|
||||
fig.set_size_inches(16, len(trial_data) / 3)
|
||||
|
||||
i = 10
|
||||
for (p, ts, te, es, ee) in trial_data:
|
||||
xranges = [(ts[j] / 1000000.0, (te[j] - ts[j]) / 1000000.0) for j in xrange(len(ts))]
|
||||
ax1.broken_barh(xranges, (i - 0.5 * width, width))
|
||||
i += 10
|
||||
# place a vbar at the final time for this trial
|
||||
last_profiler_times = map(np.nanmax, filter(lambda x: len(x) > 0, [te for (p, ts, te, es, ee) in trial_data]))
|
||||
plt.axvline(np.max(last_profiler_times) / 1000000.0, color='black')
|
||||
|
||||
power_times = []
|
||||
power_values = []
|
||||
for (p, ts, te, es, ee) in trial_data:
|
||||
if p == ENERGY_PROFILER_NAME:
|
||||
power_times = te / 1000000.0
|
||||
power_values = (ee - es) / ((te - ts) / 1000.0)
|
||||
ax2 = ax1.twinx()
|
||||
ax2.set_xlim(xmin=0, xmax=max_end_time)
|
||||
ax2.set_ylim(ymin=0, ymax=max_power)
|
||||
ax2.set_ylabel('Power (Watts)')
|
||||
ax2.plot(power_times, power_values, color='r')
|
||||
|
||||
# plt.show()
|
||||
plt.savefig(path.join(output_dir, "ts_" + config + "_" + trial + ".png"))
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
def hb_energy_times_to_power(es, ee, ts, te):
|
||||
"""Compute power from start and end energy and times.
|
||||
Return: power values
|
||||
"""
|
||||
return (ee - es) / ((te - ts) / 1000.0)
|
||||
|
||||
|
||||
def plot_all_time_series(config_list, output_dir):
|
||||
"""Plot column charts of the raw total time/energy spent in each profiler category.
|
||||
|
||||
Keyword arguments:
|
||||
config_list -- [(config, result of process_config_dir(...))]
|
||||
output_dir -- where to write plots to
|
||||
"""
|
||||
time_series_out_dir = path.join(output_dir, 'time_series')
|
||||
os.makedirs(time_series_out_dir)
|
||||
|
||||
max_end_times = []
|
||||
max_power_values = []
|
||||
for (c, cd) in config_list:
|
||||
for (t, td) in cd:
|
||||
trial_max_end_times = map(np.nanmax, filter(lambda x: len(x) > 0, [te for (p, ts, te, es, ee) in td]))
|
||||
max_end_times.append(np.nanmax(trial_max_end_times))
|
||||
for (p, ts, te, es, ee) in td:
|
||||
# We only care about the energy profiler (others aren't reliable for instant power anyway)
|
||||
if p == ENERGY_PROFILER_NAME and len(te) > 0:
|
||||
max_power_values.append(np.nanmax(hb_energy_times_to_power(es, ee, ts, te)))
|
||||
max_time = np.nanmax(max_end_times)
|
||||
max_power = np.nanmax(np.array(max_power_values)) * 1.2 # leave a little space at the top
|
||||
|
||||
for (config, config_data) in config_list:
|
||||
[plot_trial_time_series(config, trial, trial_data, max_time, max_power, time_series_out_dir)
|
||||
for (trial, trial_data) in config_data]
|
||||
|
||||
|
||||
def read_heartbeat_log(profiler_hb_log):
|
||||
"""Read a heartbeat log file.
|
||||
Return: (profiler name, [start times], [end times], [start energies], [end energies], [instant powers])
|
||||
|
||||
Keyword arguments:
|
||||
profiler_hb_log -- the file to read
|
||||
"""
|
||||
with warnings.catch_warnings():
|
||||
try:
|
||||
warnings.simplefilter("ignore")
|
||||
time_start, time_end, energy_start, energy_end = \
|
||||
np.loadtxt(profiler_hb_log,
|
||||
dtype=np.dtype('uint64'),
|
||||
skiprows=1,
|
||||
usecols=(HB_LOG_IDX_START_TIME,
|
||||
HB_LOG_IDX_END_TIME,
|
||||
HB_LOG_IDX_START_ENERGY,
|
||||
HB_LOG_IDX_END_ENERGY),
|
||||
unpack=True,
|
||||
ndmin=1)
|
||||
except ValueError:
|
||||
time_start, time_end, energy_start, energy_end = [], [], [], []
|
||||
name = path.split(profiler_hb_log)[1].split('-')[1].split('.')[0]
|
||||
return (name,
|
||||
np.atleast_1d(time_start),
|
||||
np.atleast_1d(time_end),
|
||||
np.atleast_1d(energy_start),
|
||||
np.atleast_1d(energy_end))
|
||||
|
||||
|
||||
def process_trial_dir(trial_dir):
|
||||
"""Process trial directory.
|
||||
Return: [(profiler name, [start times], [end times], [start energies], [end energies])]
|
||||
Time and energy are normalized to 0 start values.
|
||||
|
||||
Keyword arguments:
|
||||
trial_dir -- the directory for this trial
|
||||
"""
|
||||
log_data = map(lambda h: read_heartbeat_log(path.join(trial_dir, h)),
|
||||
filter(lambda f: f.endswith(".log"), os.listdir(trial_dir)))
|
||||
|
||||
# Find the earliest timestamps and energy readings
|
||||
min_t = np.nanmin(map(np.nanmin, filter(lambda x: len(x) > 0, [ts for (profiler, ts, te, es, ee) in log_data])))
|
||||
min_e = np.nanmin(map(np.nanmin, filter(lambda x: len(x) > 0, [es for (profiler, ts, te, es, ee) in log_data])))
|
||||
|
||||
# Normalize timing/energy data to start values of 0
|
||||
return [(profiler, ts - min_t, te - min_t, es - min_e, ee - min_e) for (profiler, ts, te, es, ee) in log_data]
|
||||
|
||||
|
||||
def process_config_dir(config_dir):
|
||||
"""Process a configuration directory.
|
||||
Return: [(trial, [(profiler name, [start times], [end times], [start energies], [end energies])])]
|
||||
|
||||
Keyword arguments:
|
||||
config_dir -- the directory for this configuration - contains subdirectories for each trial
|
||||
"""
|
||||
return [(trial_dir, process_trial_dir(path.join(config_dir, trial_dir))) for trial_dir in os.listdir(config_dir)]
|
||||
|
||||
|
||||
def process_logs(log_dir):
|
||||
"""Process log directory.
|
||||
Return: [(config, [(trial, [(profiler name, [start times], [end times], [start energies], [end energies])])])]
|
||||
|
||||
Keyword arguments:
|
||||
log_dir -- the log directory to process - contains subdirectories for each configuration
|
||||
"""
|
||||
return [((config_dir.split('_')[1], process_config_dir(path.join(log_dir, config_dir))))
|
||||
for config_dir in os.listdir(log_dir)]
|
||||
|
||||
|
||||
def find_best_executions(log_dir):
|
||||
"""Get the best time, energy, and power from the characterization summaries.
|
||||
Return: ((config, trial, min_time), (config, trial, min_energy), (config, trial, min_power))
|
||||
|
||||
Keyword arguments:
|
||||
results -- the results from process_logs(...).
|
||||
"""
|
||||
DEFAULT = ('', '', 1000000000.0)
|
||||
min_time = DEFAULT
|
||||
min_energy = DEFAULT
|
||||
min_power = DEFAULT
|
||||
for config_dir in os.listdir(log_dir):
|
||||
for trial_dir in os.listdir(path.join(log_dir, config_dir)):
|
||||
with open(path.join(log_dir, config_dir, trial_dir, SUMMARY_OUTPUT), "r") as s:
|
||||
lines = s.readlines()
|
||||
time = float(lines[SUMMARY_TIME_IDX].split(':')[1])
|
||||
energy = int(lines[SUMMARY_ENERGY_IDX].split(':')[1])
|
||||
power = float(lines[SUMMARY_POWER_IDX].split(':')[1])
|
||||
if time < min_time[2]:
|
||||
min_time = (config_dir, trial_dir, time)
|
||||
if energy < min_energy[2]:
|
||||
min_energy = (config_dir, trial_dir, energy)
|
||||
if power < min_power:
|
||||
min_power = (config_dir, trial_dir, power)
|
||||
return (min_time, min_energy, min_power)
|
||||
|
||||
|
||||
def main():
|
||||
"""This script processes the log files from the "characterize.py" script and produces visualizations.
|
||||
"""
|
||||
# Default log directory
|
||||
directory = 'heartbeat_logs'
|
||||
# Default output directory
|
||||
output_dir = 'plots'
|
||||
|
||||
# Parsing the input of the script
|
||||
parser = argparse.ArgumentParser(description="Process Heartbeat log files from characterization")
|
||||
parser.add_argument("-d", "--directory",
|
||||
default=directory,
|
||||
help="Heartbeat log directory \"-d heartbeat_logs\"")
|
||||
parser.add_argument("-o", "--output",
|
||||
default=output_dir,
|
||||
help="Specify the log output directory, for example \"-o plots\"")
|
||||
|
||||
args = parser.parse_args()
|
||||
if args.directory:
|
||||
directory = args.directory
|
||||
if args.output:
|
||||
output_dir = args.output
|
||||
|
||||
if not os.path.exists(directory):
|
||||
print "Input directory does not exist: " + directory
|
||||
sys.exit(1)
|
||||
|
||||
if os.path.exists(output_dir):
|
||||
print "Output directory already exists: " + output_dir
|
||||
sys.exit(1)
|
||||
|
||||
res = process_logs(directory)
|
||||
|
||||
best = find_best_executions(directory)
|
||||
print 'Best time:', best[0]
|
||||
print 'Best energy:', best[1]
|
||||
print 'Best power:', best[2]
|
||||
|
||||
os.makedirs(output_dir)
|
||||
plot_all_raw_totals(res, output_dir)
|
||||
plot_all_time_series(res, output_dir)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Loading…
Add table
Add a link
Reference in a new issue