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comparison: js/src/parjs-benchmarks/mandelbrot.js
js/src/parjs-benchmarks/mandelbrot.js
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- TOR_BUG_9701
- changeset 14
- 925c144e1f1f
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| -1:000000000000 | 0:b2fd35c1fe91 |
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| 1 // Adapted from | |
| 2 // | |
| 3 // https://github.com/RiverTrail/RiverTrail/blob/master/examples/mandelbrot/mandelbrot.js | |
| 4 // | |
| 5 // which in turn is adapted from a WebCL implementation available at | |
| 6 // | |
| 7 // http://www.ibiblio.org/e-notes/webcl/mandelbrot.html | |
| 8 | |
| 9 var nc = 30, maxCol = nc*3, cr,cg,cb; | |
| 10 | |
| 11 load(libdir + "util.js"); | |
| 12 | |
| 13 // this is the actual mandelbrot computation, ported to JavaScript | |
| 14 // from the WebCL / OpenCL example at | |
| 15 // http://www.ibiblio.org/e-notes/webcl/mandelbrot.html | |
| 16 function computeSetByRow(x, y) { | |
| 17 var Cr = (x - 256) / scale + 0.407476; | |
| 18 var Ci = (y - 256) / scale + 0.234204; | |
| 19 var I = 0, R = 0, I2 = 0, R2 = 0; | |
| 20 var n = 0; | |
| 21 while ((R2+I2 < 2.0) && (n < 512)) { | |
| 22 I = (R+R)*I+Ci; | |
| 23 R = R2-I2+Cr; | |
| 24 R2 = R*R; | |
| 25 I2 = I*I; | |
| 26 n++; | |
| 27 } | |
| 28 return n; | |
| 29 } | |
| 30 | |
| 31 function computeSequentially() { | |
| 32 result = []; | |
| 33 for (var r = 0; r < rows; r++) { | |
| 34 for (var c = 0; c < cols; c++) { | |
| 35 result.push(computeSetByRow(c, r)); | |
| 36 } | |
| 37 } | |
| 38 return result; | |
| 39 } | |
| 40 | |
| 41 function computeParallel() { | |
| 42 return new ParallelArray([rows, cols], function(r, c) { | |
| 43 return computeSetByRow(c, r); | |
| 44 }).flatten(); | |
| 45 } | |
| 46 | |
| 47 function compare(arrs, pas) { | |
| 48 for (var r = 0; r < rows; r++) { | |
| 49 for (var c = 0; c < cols; c++) { | |
| 50 assertEq(seq[c + r * cols], par.get(r, c)); | |
| 51 } | |
| 52 } | |
| 53 } | |
| 54 | |
| 55 var scale = 10000*300; | |
| 56 var rows = 1024; | |
| 57 var cols = 1024; | |
| 58 | |
| 59 // Experimentally, warmup doesn't seem to be necessary: | |
| 60 benchmark("MANDELBROT", 1, DEFAULT_MEASURE, | |
| 61 computeSequentially, computeParallel); |
