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author | Stefan Radomski <sradomski@mintwerk.de> | 2016-01-26 08:32:56 (GMT) |
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committer | Stefan Radomski <sradomski@mintwerk.de> | 2016-01-26 08:32:56 (GMT) |
commit | 18bca76b4f4d81db962e97cfe79611461a8b7e61 (patch) | |
tree | 5131964dc562082fc3274cea8de3aa25ec0d455e /README.md | |
parent | 762eb95910cd4dfad6a84f97332b7549b2fdbd69 (diff) | |
download | uscxml-18bca76b4f4d81db962e97cfe79611461a8b7e61.zip uscxml-18bca76b4f4d81db962e97cfe79611461a8b7e61.tar.gz uscxml-18bca76b4f4d81db962e97cfe79611461a8b7e61.tar.bz2 |
Some code beautifications
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -4,7 +4,7 @@ #### Related Documents -- [Building form Source](docs/BUILDING.md) +- [Building from Source](docs/BUILDING.md) - [Open Issues](docs/ISSUES.md) - [Getting Started](docs/GETTING_STARTED.md) @@ -111,7 +111,7 @@ upon](https://github.com/tklab-tud/uscxml/blob/master/docs/BUILDING.md#build-dep We did some performance measurements in the scope of the C transformation. As you can see in the figure below, for most IRP tests we average to a duration of -5-20us per microstep on an early 2015 MacBook Pro 13" with 3.1Ghz in the case +5-20us per microstep on an early 2015 MacBook Pro 13" with 3.1GHz in the case of [generated/compiled C](https://github.com/tklab-tud/uscxml/blob/master/test/src/test-c-machine.machine.c). For interpretation at runtime, we average at around 70-130us per microstep. The generated C is rather optimized while the focus of the interpreter is more on correctness, feature completeness and extensibility. @@ -121,7 +121,7 @@ interpreter. <img src="https://raw.github.com/tklab-tud/uscxml/master/docs/Performance_Microstep.png" width="500px" /> For the tests, we took the [highest precision timer](https://github.com/tklab-tud/uscxml/blob/master/src/uscxml/concurrency/Timer.cpp) -we could attain and measured how long the execution of a given SCXML IRP tests took while +we could attain and measured how long the execution of a given SCXML IRP test took while subtracting initialization, tear-down and the time spent in the data-model's routines. Time is averaged over 1.000 iterations. |