1
2 @Benchmark
3 public Object [[TEST]][[TEST_TYPE]][[OP_NAME]]() {
4 $type$[] a = fa.apply(size);
5 $type$[] b = fb.apply(size);
6 boolean[] ms = fm.apply(size);
7 VectorMask<$Wideboxtype$> m = VectorMask.maskFromArray(SPECIES, ms, 0);
8
9 for (int ic = 0; ic < INVOC_COUNT; ic++) {
10 for (int i = 0; i < a.length; i += SPECIES.length()) {
11 $abstractvectortype$ av = $abstractvectortype$.fromArray(SPECIES, a, i);
12 $abstractvectortype$ bv = $abstractvectortype$.fromArray(SPECIES, b, i);
13 VectorMask<$Wideboxtype$> mv = av.[[TEST]](bv);
14
15 m = m.and(mv); // accumulate results, so JIT can't eliminate relevant computations
16 }
17 }
18 return m;
19 }
20
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1
2 @Benchmark
3 public Object [[TEST]][[TEST_TYPE]][[OP_NAME]]() {
4 $type$[] a = fa.apply(size);
5 $type$[] b = fb.apply(size);
6 boolean[] ms = fm.apply(size);
7 VectorMask<$Wideboxtype$> m = VectorMask.fromArray(SPECIES, ms, 0);
8
9 for (int ic = 0; ic < INVOC_COUNT; ic++) {
10 for (int i = 0; i < a.length; i += SPECIES.length()) {
11 $abstractvectortype$ av = $abstractvectortype$.fromArray(SPECIES, a, i);
12 $abstractvectortype$ bv = $abstractvectortype$.fromArray(SPECIES, b, i);
13 VectorMask<$Wideboxtype$> mv = av.[[TEST]](bv);
14
15 m = m.and(mv); // accumulate results, so JIT can't eliminate relevant computations
16 }
17 }
18 return m;
19 }
20
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