benchmark.wasm.js

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var randu = require( '@stdlib/math/base/random/randu' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var tryFunction = require( '@stdlib/utils/try-function' );
var pkg = require( './../package.json' ).name;
var factory = require( './../lib/daxpy.wasm.js' );


// VARIABLES //

var opts;
if ( tryFunction( factory )() instanceof Error ) {
	opts = {};
	opts.skip = true;
} else {
	opts = {};
}


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
	return benchmark;

	/**
	* Benchmark function.
	*
	* @private
	* @param {Benchmark} b - benchmark instance
	*/
	function benchmark( b ) {
		var xbytes;
		var ybytes;
		var daxpy;
		var x;
		var y;
		var z;
		var i;

		daxpy = factory();

		xbytes = daxpy.malloc( len * 8 ); // 8 bytes per double
		ybytes = daxpy.malloc( len * 8 );

		x = new Float64Array( xbytes.buffer, xbytes.byteOffset, len );
		y = new Float64Array( ybytes.buffer, ybytes.byteOffset, len );

		for ( i = 0; i < len; i++ ) {
			x[ i ] = ( randu()*200.0 ) - 100.0;
			y[ i ] = ( randu()*200.0 ) - 100.0;
		}
		b.tic();
		for ( i = 0; i < b.iterations; i++ ) {
			z = daxpy( x.length, 5.0, xbytes, 1, ybytes, 1 );
			if ( isnan( z ) ) {
				b.fail( 'should not return NaN' );
			}
		}
		b.toc();
		if ( isnan( z ) ) {
			b.fail( 'should not return NaN' );
		}
		b.pass( 'benchmark finished' );
		b.end();
	} // end FUNCTION benchmark()
} // end FUNCTION createBenchmark()


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
function main() {
	var len;
	var min;
	var max;
	var f;
	var i;

	min = 1; // 10^min
	max = 6; // 10^max

	for ( i = min; i <= max; i++ ) {
		len = pow( 10, i );
		f = createBenchmark( len );
		bench( pkg+'::wasm:len='+len, opts, f );
	}
} // end FUNCTION main()

main();