| /* |
| Copyright (C) 2013 John McCutchan <john@johnmccutchan.com> |
| |
| This software is provided 'as-is', without any express or implied |
| warranty. In no event will the authors be held liable for any damages |
| arising from the use of this software. |
| |
| Permission is granted to anyone to use this software for any purpose, |
| including commercial applications, and to alter it and redistribute it |
| freely, subject to the following restrictions: |
| |
| 1. The origin of this software must not be misrepresented; you must not |
| claim that you wrote the original software. If you use this software |
| in a product, an acknowledgment in the product documentation would be |
| appreciated but is not required. |
| 2. Altered source versions must be plainly marked as such, and must not be |
| misrepresented as being the original software. |
| 3. This notice may not be removed or altered from any source distribution. |
| |
| */ |
| |
| library vector_math_matrix_bench; |
| |
| import 'dart:typed_data'; |
| import 'package:vector_math/vector_math_operations.dart'; |
| import 'package:benchmark_harness/benchmark_harness.dart'; |
| |
| class MatrixMultiplyBenchmark extends BenchmarkBase { |
| const MatrixMultiplyBenchmark() : super("MatrixMultiply"); |
| final Float32List A = new Float32List(16); |
| final Float32List B = new Float32List(16); |
| final Float32List C = new Float32List(16); |
| |
| static void main() { |
| new MatrixMultiplyBenchmark().report(); |
| } |
| |
| void run() { |
| for (int i = 0; i < 200; i++) { |
| Matrix44Operations.multiply(C, 0, A, 0, B, 0); |
| } |
| } |
| } |
| |
| class SIMDMatrixMultiplyBenchmark extends BenchmarkBase { |
| const SIMDMatrixMultiplyBenchmark() : super("SIMDMatrixMultiply"); |
| final Float32x4List A = new Float32x4List(4); |
| final Float32x4List B = new Float32x4List(4); |
| final Float32x4List C = new Float32x4List(4); |
| |
| static void main() { |
| new SIMDMatrixMultiplyBenchmark().report(); |
| } |
| |
| void run() { |
| for (int i = 0; i < 200; i++) { |
| Matrix44SIMDOperations.multiply(C, 0, A, 0, B, 0); |
| } |
| } |
| } |
| |
| class VectorTransformBenchmark extends BenchmarkBase { |
| const VectorTransformBenchmark() : super("VectorTransform"); |
| final Float32List A = new Float32List(16); |
| final Float32List B = new Float32List(4); |
| final Float32List C = new Float32List(4); |
| |
| static void main() { |
| new VectorTransformBenchmark().report(); |
| } |
| |
| void run() { |
| for (int i = 0; i < 200; i++) { |
| Matrix44Operations.transform4(C, 0, A, 0, B, 0); |
| } |
| } |
| } |
| |
| class SIMDVectorTransformBenchmark extends BenchmarkBase { |
| const SIMDVectorTransformBenchmark() : super("SIMDVectorTransform"); |
| final Float32x4List A = new Float32x4List(4); |
| final Float32x4List B = new Float32x4List(1); |
| final Float32x4List C = new Float32x4List(1); |
| |
| static void main() { |
| new SIMDVectorTransformBenchmark().report(); |
| } |
| |
| void run() { |
| for (int i = 0; i < 200; i++) { |
| Matrix44SIMDOperations.transform4(C, 0, A, 0, B, 0); |
| } |
| } |
| } |
| |
| main() { |
| MatrixMultiplyBenchmark.main(); |
| SIMDMatrixMultiplyBenchmark.main(); |
| VectorTransformBenchmark.main(); |
| SIMDVectorTransformBenchmark.main(); |
| } |