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Side by Side Diff: test/simdjs/SimdJs.json

Issue 1146073002: Add perf json for simd.js benchmarks. (Closed) Base URL: https://chromium.googlesource.com/v8/v8.git@master
Patch Set: sort Created 5 years, 7 months ago
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1 {
2 "flags": [
3 "--harmony-object",
4 "test/simdjs/harness-adapt.js"
5 ],
6 "name": "SIMDJS",
7 "path": [
8 "../../"
9 ],
10 "resources": [
11 "test/simdjs/data/src/benchmarks/base.js",
12 "test/simdjs/data/src/ecmascript_simd.js",
13 "test/simdjs/data/src/benchmarks/kernel-template.js",
14 "test/simdjs/data/src/benchmarks/averageFloat32x4.js",
15 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadFromInt8Array.js",
16 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadX.js",
17 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadXY.js",
18 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadXYZ.js",
19 "test/simdjs/data/src/benchmarks/averageFloat64x2.js",
20 "test/simdjs/data/src/benchmarks/averageFloat64x2Load.js",
21 "test/simdjs/data/src/benchmarks/mandelbrot.js",
22 "test/simdjs/data/src/benchmarks/matrix-multiplication.js",
23 "test/simdjs/data/src/benchmarks/transform.js",
24 "test/simdjs/data/src/benchmarks/shiftrows.js",
25 "test/simdjs/data/src/benchmarks/transpose4x4.js",
26 "test/simdjs/data/src/benchmarks/inverse4x4.js",
27 "test/simdjs/data/src/benchmarks/sinx4.js",
28 "test/simdjs/data/src/benchmarks/memset.js",
29 "test/simdjs/data/src/benchmarks/memcpy.js"
30 ],
31 "run_count": 5,
32 "tests": [
33 {
34 "flags": [
35 "test/simdjs/data/src/benchmarks/kernel-template.js"
36 ],
37 "main": "test/simdjs/harness-finish.js",
38 "name": "kernel-template",
39 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
40 "tests": [
41 {
42 "name": "SIMD"
43 },
44 {
45 "name": "Non-SIMD"
46 },
47 {
48 "name": "Speedup",
49 "units": "score"
50 },
51 {
52 "name": "Iterations",
53 "units": "count"
54 }
55 ]
56 },
57 {
58 "flags": [
59 "test/simdjs/data/src/benchmarks/averageFloat32x4.js"
60 ],
61 "main": "test/simdjs/harness-finish.js",
62 "name": "averageFloat32x4",
63 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
64 "tests": [
65 {
66 "name": "SIMD"
67 },
68 {
69 "name": "Non-SIMD"
70 },
71 {
72 "name": "Speedup",
73 "units": "score"
74 },
75 {
76 "name": "Iterations",
77 "units": "count"
78 }
79 ]
80 },
81 {
82 "flags": [
83 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadFromInt8Array.js"
84 ],
85 "main": "test/simdjs/harness-finish.js",
86 "name": "averageFloat32x4LoadFromInt8Array",
87 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
88 "tests": [
89 {
90 "name": "SIMD"
91 },
92 {
93 "name": "Non-SIMD"
94 },
95 {
96 "name": "Speedup",
97 "units": "score"
98 },
99 {
100 "name": "Iterations",
101 "units": "count"
102 }
103 ]
104 },
105 {
106 "flags": [
107 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadX.js"
108 ],
109 "main": "test/simdjs/harness-finish.js",
110 "name": "averageFloat32x4LoadX",
111 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
112 "tests": [
113 {
114 "name": "SIMD"
115 },
116 {
117 "name": "Non-SIMD"
118 },
119 {
120 "name": "Speedup",
121 "units": "score"
122 },
123 {
124 "name": "Iterations",
125 "units": "count"
126 }
127 ]
128 },
129 {
130 "flags": [
131 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadXY.js"
132 ],
133 "main": "test/simdjs/harness-finish.js",
134 "name": "averageFloat32x4LoadXY",
135 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
136 "tests": [
137 {
138 "name": "SIMD"
139 },
140 {
141 "name": "Non-SIMD"
142 },
143 {
144 "name": "Speedup",
145 "units": "score"
146 },
147 {
148 "name": "Iterations",
149 "units": "count"
150 }
151 ]
152 },
153 {
154 "flags": [
155 "test/simdjs/data/src/benchmarks/averageFloat32x4LoadXYZ.js"
156 ],
157 "main": "test/simdjs/harness-finish.js",
158 "name": "averageFloat32x4LoadXYZ",
159 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
160 "tests": [
161 {
162 "name": "SIMD"
163 },
164 {
165 "name": "Non-SIMD"
166 },
167 {
168 "name": "Speedup",
169 "units": "score"
170 },
171 {
172 "name": "Iterations",
173 "units": "count"
174 }
175 ]
176 },
177 {
178 "flags": [
179 "test/simdjs/data/src/benchmarks/averageFloat64x2.js"
180 ],
181 "main": "test/simdjs/harness-finish.js",
182 "name": "averageFloat64x2",
183 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
184 "tests": [
185 {
186 "name": "SIMD"
187 },
188 {
189 "name": "Non-SIMD"
190 },
191 {
192 "name": "Speedup",
193 "units": "score"
194 },
195 {
196 "name": "Iterations",
197 "units": "count"
198 }
199 ]
200 },
201 {
202 "flags": [
203 "test/simdjs/data/src/benchmarks/averageFloat64x2Load.js"
204 ],
205 "main": "test/simdjs/harness-finish.js",
206 "name": "averageFloat64x2Load",
207 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
208 "tests": [
209 {
210 "name": "SIMD"
211 },
212 {
213 "name": "Non-SIMD"
214 },
215 {
216 "name": "Speedup",
217 "units": "score"
218 },
219 {
220 "name": "Iterations",
221 "units": "count"
222 }
223 ]
224 },
225 {
226 "flags": [
227 "test/simdjs/data/src/benchmarks/mandelbrot.js"
228 ],
229 "main": "test/simdjs/harness-finish.js",
230 "name": "mandelbrot",
231 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
232 "tests": [
233 {
234 "name": "SIMD"
235 },
236 {
237 "name": "Non-SIMD"
238 },
239 {
240 "name": "Speedup",
241 "units": "score"
242 },
243 {
244 "name": "Iterations",
245 "units": "count"
246 }
247 ]
248 },
249 {
250 "flags": [
251 "test/simdjs/data/src/benchmarks/matrix-multiplication.js"
252 ],
253 "main": "test/simdjs/harness-finish.js",
254 "name": "matrix-multiplication",
255 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
256 "tests": [
257 {
258 "name": "SIMD"
259 },
260 {
261 "name": "Non-SIMD"
262 },
263 {
264 "name": "Speedup",
265 "units": "score"
266 },
267 {
268 "name": "Iterations",
269 "units": "count"
270 }
271 ]
272 },
273 {
274 "flags": [
275 "test/simdjs/data/src/benchmarks/transform.js"
276 ],
277 "main": "test/simdjs/harness-finish.js",
278 "name": "transform",
279 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
280 "tests": [
281 {
282 "name": "SIMD"
283 },
284 {
285 "name": "Non-SIMD"
286 },
287 {
288 "name": "Speedup",
289 "units": "score"
290 },
291 {
292 "name": "Iterations",
293 "units": "count"
294 }
295 ]
296 },
297 {
298 "flags": [
299 "test/simdjs/data/src/benchmarks/shiftrows.js"
300 ],
301 "main": "test/simdjs/harness-finish.js",
302 "name": "shiftrows",
303 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
304 "tests": [
305 {
306 "name": "SIMD"
307 },
308 {
309 "name": "Non-SIMD"
310 },
311 {
312 "name": "Speedup",
313 "units": "score"
314 },
315 {
316 "name": "Iterations",
317 "units": "count"
318 }
319 ]
320 },
321 {
322 "flags": [
323 "test/simdjs/data/src/benchmarks/transpose4x4.js"
324 ],
325 "main": "test/simdjs/harness-finish.js",
326 "name": "transpose4x4",
327 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
328 "tests": [
329 {
330 "name": "SIMD"
331 },
332 {
333 "name": "Non-SIMD"
334 },
335 {
336 "name": "Speedup",
337 "units": "score"
338 },
339 {
340 "name": "Iterations",
341 "units": "count"
342 }
343 ]
344 },
345 {
346 "flags": [
347 "test/simdjs/data/src/benchmarks/inverse4x4.js"
348 ],
349 "main": "test/simdjs/harness-finish.js",
350 "name": "inverse4x4",
351 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
352 "tests": [
353 {
354 "name": "SIMD"
355 },
356 {
357 "name": "Non-SIMD"
358 },
359 {
360 "name": "Speedup",
361 "units": "score"
362 },
363 {
364 "name": "Iterations",
365 "units": "count"
366 }
367 ]
368 },
369 {
370 "flags": [
371 "test/simdjs/data/src/benchmarks/sinx4.js"
372 ],
373 "main": "test/simdjs/harness-finish.js",
374 "name": "sinx4",
375 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
376 "tests": [
377 {
378 "name": "SIMD"
379 },
380 {
381 "name": "Non-SIMD"
382 },
383 {
384 "name": "Speedup",
385 "units": "score"
386 },
387 {
388 "name": "Iterations",
389 "units": "count"
390 }
391 ]
392 },
393 {
394 "flags": [
395 "test/simdjs/data/src/benchmarks/memset.js"
396 ],
397 "main": "test/simdjs/harness-finish.js",
398 "name": "memset",
399 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
400 "tests": [
401 {
402 "name": "SIMD"
403 },
404 {
405 "name": "Non-SIMD"
406 },
407 {
408 "name": "Speedup",
409 "units": "score"
410 },
411 {
412 "name": "Iterations",
413 "units": "count"
414 }
415 ]
416 },
417 {
418 "flags": [
419 "test/simdjs/data/src/benchmarks/memcpy.js"
420 ],
421 "main": "test/simdjs/harness-finish.js",
422 "name": "memcpy",
423 "results_regexp": "%s\\([ ]*([0-9.]+)(ms)?\\)",
424 "tests": [
425 {
426 "name": "SIMD"
427 },
428 {
429 "name": "Non-SIMD"
430 },
431 {
432 "name": "Speedup",
433 "units": "score"
434 },
435 {
436 "name": "Iterations",
437 "units": "count"
438 }
439 ]
440 }
441 ],
442 "total": true,
443 "units": "ms"
444 }
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