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author | Neil Fuller <nfuller@google.com> | 2014-10-01 11:55:10 +0100 |
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committer | Neil Fuller <nfuller@google.com> | 2014-10-01 14:04:15 +0100 |
commit | 33253a4baa6279f81a73425b49dfb6abe5f5416e (patch) | |
tree | c0077bd08ebc6f3c138a3b4ddb54a0ea1108b200 /test-runner | |
parent | 0451728645d559d904f579894d4b59e971e2369e (diff) | |
download | frameworks_base-33253a4baa6279f81a73425b49dfb6abe5f5416e.zip frameworks_base-33253a4baa6279f81a73425b49dfb6abe5f5416e.tar.gz frameworks_base-33253a4baa6279f81a73425b49dfb6abe5f5416e.tar.bz2 |
Switch from FloatMath -> Math and Math.hypot where possible
The motivation is an API change: FloatMath is going to be
deprecated and/or removed. Performance is not the goal of
this change.
That said...
Math is faster than FloatMath with AOT compilation.
While making the change, occurances of:
{Float}Math.sqrt(x * x + y * y) and
{Float}Math.sqrt({Float}Math.pow(x, 2) + {Float}Math.pow(y, 2))
have been replaced with:
{(float)} Math.hypot(x, y)
Right now there is no runtime intrinsic for hypot so is not faster
in all cases for AOT compilation:
Math.sqrt(x * x + y * y) is faster than Math.hypot(x, y) with
AOT, but all other combinations of FloatMath, use of pow() etc.
are slower than hypot().
hypot() has the advantage of being self documenting and
could be optimized in future. None of the behavior differences
around NaN and rounding appear to be important for the cases
looked at: they all assume results and arguments are in range
and usually the results are cast to float.
Different implementations measured on hammerhead / L:
AOT compiled:
[FloatMath.hypot(x, y)]
benchmark=Hypot_FloatMathHypot} 633.85 ns; σ=0.32 ns @ 3 trials
[FloatMath.sqrt(x*x + y*y)]
benchmark=Hypot_FloatMathSqrtMult} 684.17 ns; σ=4.83 ns @ 3 trials
[FloatMath.sqrt(FloatMath.pow(x, 2) + FloatMath.pow(y, 2))]
benchmark=Hypot_FloatMathSqrtPow} 1270.65 ns; σ=12.20 ns @ 6 trials
[(float) Math.hypot(x, y)]
benchmark=Hypot_MathHypot} 96.80 ns; σ=0.05 ns @ 3 trials
[(float) Math.sqrt(x*x + y*y)]
benchmark=Hypot_MathSqrtMult} 23.97 ns; σ=0.01 ns @ 3 trials
[(float) Math.sqrt(Math.pow(x, 2) + Math.pow(y, 2))]
benchmark=Hypot_MathSqrtPow} 156.19 ns; σ=0.12 ns @ 3 trials
Interpreter:
benchmark=Hypot_FloatMathHypot} 1180.54 ns; σ=5.13 ns @ 3 trials
benchmark=Hypot_FloatMathSqrtMult} 1121.05 ns; σ=3.80 ns @ 3 trials
benchmark=Hypot_FloatMathSqrtPow} 3327.14 ns; σ=7.33 ns @ 3 trials
benchmark=Hypot_MathHypot} 856.57 ns; σ=1.41 ns @ 3 trials
benchmark=Hypot_MathSqrtMult} 1028.92 ns; σ=9.11 ns @ 3 trials
benchmark=Hypot_MathSqrtPow} 2539.47 ns; σ=24.44 ns @ 3 trials
Bug: https://code.google.com/p/android/issues/detail?id=36199
Change-Id: I06c91f682095e627cb547d60d936ef87941be692
Diffstat (limited to 'test-runner')
-rw-r--r-- | test-runner/src/android/test/TouchUtils.java | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/test-runner/src/android/test/TouchUtils.java b/test-runner/src/android/test/TouchUtils.java index acbde0b..0fbffcd 100644 --- a/test-runner/src/android/test/TouchUtils.java +++ b/test-runner/src/android/test/TouchUtils.java @@ -576,7 +576,7 @@ public class TouchUtils { final int fromX = xy[0]; final int fromY = xy[1]; - int distance = (int) Math.sqrt(deltaX * deltaX + deltaY * deltaY); + int distance = (int) Math.hypot(deltaX, deltaY); drag(test, fromX, fromX + deltaX, fromY, fromY + deltaY, distance); @@ -629,7 +629,7 @@ public class TouchUtils { int deltaX = fromX - toX; int deltaY = fromY - toY; - int distance = (int)Math.sqrt(deltaX * deltaX + deltaY * deltaY); + int distance = (int)Math.hypot(deltaX, deltaY); drag(test, fromX, toX, fromY, toY, distance); return distance; |