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cpu-perf-counters

v0.5.17

Published

CPU performance counters for Linux

Downloads

1

Readme

cpu-perf-counters.js

Performance counters for Node.js

This package exposes performance counters of modern processors to Node.js applications. It's designed as a drop-in replacement for process.hrtime.bigint(), enabling different types of performance analysis.

Currently this package only supports Linux via the perf_event_open performance monitoring API (used by Linux perf).

Install

npm install cpu-perf-counters

Note this package is a Node.js N-API native addon and requires at least:

  • A recent C++ compiler
  • Node.js - v12.17.0 (for BigInt support)
  • CMake - v3.11

Usage

Consider the following function we want to analyse:

function factorial(n) {
    let result = 0n;
    for (let i = 1n; i <= n; i++) {
        result *= i;
    }
    return result;
}

There are several ways to consider the run-time performance of a function like this. For instance if we want to measure the number of cpu cycles it takes to execute, configure a counter with begin(CounterType.CYCLES) and read counter values with read():

import { begin, CounterType } from 'cpu-perf-counters';

/* Create a sampler */
const sampler = begin(CounterType.CYCLES);
/* Run the function */
factorial(100n);
/* Read the current counter count */
console.info(sampler.read());
/* Clean up */
sampler.stop();

The result of a read() is a bigint, e.g.:

183297n

It's also possible to run and read multiple counters simultaneously. Here we count the number of instructions executed and total cycles required to execute them:

/* Create a sampler with two counters */
const sampler = begin(
    CounterType.CYCLES, CounterType.Instructions);

/* Run the function */
factorial(100n);
/* Read the current counter values */
console.info(sampler.readAll());
/* Clean up */
sampler.stop();

The result of readAll() is a BigInt64Array with an entry for each counter, ordered corresponding to their index in begin():

BigInt64Array(2) [
    12482n /* Cycles */,
    13815n /* Instructions */
]

You can also read each counter independantly, e.g. with sampler.read(CounterType.Instructions). Note, however, reads like this aren't done simultaneously.

Documentation

  • See index.d.ts for API documentation
  • Read the FAQ for more details

License

Copyright 2021 Ray Glover

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.