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doc: Update performance numbers for 1M loops
Ran 1M loops with hardware-accelerated, updated the numbers. Signed-off-by: Christophe de Dinechin <christophe@dinechin.org>
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@ -98,6 +98,9 @@ VP = Variable Precision
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ID = Intel Decimal Library
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HW = Hardware-accelerated (`float` or `double` types)
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### Variable Precision vs. Intel Decimal
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For 100000 loops, we see that the variable-precision implementation at 24-digit
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is roughly 10 times slower than the fixed precision implementation at 34 digits
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(128 bits).
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@ -108,7 +111,8 @@ is roughly 10 times slower than the fixed precision implementation at 34 digits
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| 0.5.2 (ID) | 215421 | 143412 |
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For 1000 loops, comparing variable-precision decimal with the earlier Intel decimal
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For 1000 loops, comparing variable-precision decimal with the earlier Intel
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decimal
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| Version | DM32 ms | DM42 ms |
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|--------------|---------|---------|
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@ -117,6 +121,9 @@ For 1000 loops, comparing variable-precision decimal with the earlier Intel deci
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| 0.6.4 (VP6) | 6905 | 5623 |
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| 0.5.2 (ID) | 2154 | 1434 |
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### 1000 loops in various implementations
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Time in millisecond for 1000 loops:
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| DM32 Version | HW7 | HW16 | VP6 | VP12 | VP24 | VP36 |
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@ -133,10 +140,23 @@ Time in millisecond for 1000 loops:
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| 0.6.0 (Note) | | | | | 17685 | |
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| 0.5.2 (ID) | 1434 | | | | | |
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Note: Results for 0.6.0 with variable precision are rtificially good because
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Note: Results for 0.6.0 with variable precision are artificially good because
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intermediate computations were not made with increased precision.
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### 1M loops and iPhone results
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1 million loops (tests performed with 0.7.1 while on battery):
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| Version | Time (ms) | Result |
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|----------------|-----------|---------------------------------------------|
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| DM32 HW7 | 1748791 | 1'384'348.25 |
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| DM32 HW16 | 2188113 | 1'395'612.15872'53834'6 |
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| DM42 HW7 | 605102 | 1'384'348.25 |
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| DM42 HW16 | 806730 | 1'395'612.15872'53834'6 |
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## Drawing `sin X` with `FunctionPlot`
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| Configuration | DM32 ms | DM42 ms |
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