ncp
ncpu
npm i ncpu
ncp

ncpu

multi-threaded library that node.js run function worker

by ZhangYuan

1.2.0 (see all)License:MITTypeScript:Not Found
npm i ncpu
Readme

ncpu

multi-threaded library that node.js run function worker

Installation

npm install ncpu

ncpu for the node.js environment,use ncpu-web for the browser environment.

require:Node.js version>=12

Attention

Because it is multithreaded, context information cannot be received and parameter passing can only be achieved by cloning( The cloning will occur as described in the HTML structured clone algorithm, and an error will be thrown if the object cannot be cloned (e.g. because it contains functions)).

Quick Start

import {NCPU} from 'ncpu' // or const {NCPU} = require('ncpu')
async function main () {
    // ### run
    await NCPU.run((a,b)=>a+b,[1,2]) // result: 3
    await NCPU.run((list)=>{
        return list.reduce((total,value)=>{return total+value;});
    },[[1,2,3]]) // result: 6
    // ### pick
    const workerFibo = await NCPU.pick((num)=>{
        const fibo = (value)=>{
            if(value<=2){return 1;}
            return fibo(value-2)+fibo(value-1);
        }
        return fibo(num);
    });
    // slef time to run
    await workerFibo(38)+await workerFibo(39) // result: 102334155 //fibo(40)
    // ### getWorker // reuse a thread
    const ncpuWorker = NCPU.getWorker(); 
    const multiplexingWorkerFibo = await NCPU.pick((num)=>{
        const fibo = (value)=>{
            if(value<=2){return 1;}
            return fibo(value-2)+fibo(value-1);
        }
        return fibo(num);
    }, {ncpuWorker}); // reuse a thread
    const res = await Promise.all([multiplexingWorkerFibo(38), NCPU.run((num)=>{
        const fibo = (value)=>{
            if(value<=2){return 1;}
            return fibo(value-2)+fibo(value-1);
        }
        return fibo(num);
    }, [39] ,{ncpuWorker})]); // reuse a thread
    // ### inject globalData
    await NCPU.run(()=>{
        return require('fs') === require('fs');
    },[],{injectList:['require']}) // result: true
}
main()

The above example spawns a Worker thread for each callback function when runing. In actual practice, use a pool of Workers instead for these kinds of tasks. Otherwise, the overhead of creating Workers would likely exceed their benefit.

Other solutions

License

ncpu is available under the MIT license. See the LICENSE file for details.

Downloads/wk

62

GitHub Stars

16

LAST COMMIT

7mos ago

MAINTAINERS

1

CONTRIBUTORS

1

OPEN ISSUES

0

OPEN PRs

0
VersionTagPublished
1.2.0
latest
7mos ago
No alternatives found
No tutorials found
Add a tutorial