superpi-master
所属分类：其他
开发工具：LINUX
文件大小：190KB
下载次数：0
上传日期：2019-05-21 13:21:14
上 传 者：
hpe
说明： super pi tools source code.a single threaded benchmark that calculates pi to a specific number of digits.
文件列表:
Dockerfile (258, 2017-12-23)
build.gradle (414, 2017-12-23)
gradle (0, 2017-12-23)
gradle\wrapper (0, 2017-12-23)
gradle\wrapper\gradle-wrapper.jar (53636, 2017-12-23)
gradle\wrapper\gradle-wrapper.properties (231, 2017-12-23)
gradlew (4971, 2017-12-23)
gradlew.bat (2314, 2017-12-23)
result.png (145378, 2017-12-23)
settings.gradle (30, 2017-12-23)
src (0, 2017-12-23)
src\main (0, 2017-12-23)
src\main\java (0, 2017-12-23)
src\main\java\com (0, 2017-12-23)
src\main\java\com\fewlaps (0, 2017-12-23)
src\main\java\com\fewlaps\superpi (0, 2017-12-23)
src\main\java\com\fewlaps\superpi\Arguments.java (386, 2017-12-23)
src\main\java\com\fewlaps\superpi\ArgumentsMapper.java (1596, 2017-12-23)
src\main\java\com\fewlaps\superpi\Main.java (776, 2017-12-23)
src\main\java\com\fewlaps\superpi\PiCalculator.java (605, 2017-12-23)
src\main\java\com\fewlaps\superpi\PiStresser.java (1016, 2017-12-23)
src\main\java\com\fewlaps\superpi\PiThread.java (490, 2017-12-23)
src\test (0, 2017-12-23)
src\test\java (0, 2017-12-23)
src\test\java\com (0, 2017-12-23)
src\test\java\com\fewlaps (0, 2017-12-23)
src\test\java\com\fewlaps\superpi (0, 2017-12-23)
src\test\java\com\fewlaps\superpi\ArgumentsMapperTest.java (3356, 2017-12-23)
src\test\java\com\fewlaps\superpi\MultiThreadCallTest.java (879, 2017-12-23)
src\test\java\com\fewlaps\superpi\PiStresserTest.java (1349, 2017-12-23)
src\test\java\com\fewlaps\superpi\SimpleCallTest.java (592, 2017-12-23)
# SuperPI
If you are a hardware nerd like me, you know SuperPI for sure. If not, SuperPI is a Windows application useful to benchmark your CPU.
As there's any simple way to benchmark servers performance, we written this project that tests your CPU without installing nothing: simply running the image on Docker
```bash
docker run fewlaps/superpi
```
By default, the app runs 32 threads and 1000000000 iterations over the Gauss-Legendre algorithm to approximate the Pi decimals. If you want to customize that numbers, don't hesitate to do it:
```bash
docker run fewlaps/superpi -t numberOfThreads
docker run fewlaps/superpi -i numberOfIterations
docker run fewlaps/superpi -t numberOfThreads -i numberOfIterations
```
## Some results
Running the default test on different machines took...
Computer|Year|CPU|Time
------- | -- | -- | -------
Windows desktop|Mid 2013|3.5 GHz i7|**33,586 ms**
iMac 21,5"|Late 2013|3.1 GHz i7|**36.852 ms**
MacBook Pro 13"|Early 2015|3.1 GHz i7|*****,973 ms**
MacBook Pro 13"|Early 2015|2.9 GHz i5|**67,004 ms**
MacBook Pro 13"|Late 2013|2.4 Ghz i5|**85.9*** ms**
MacBook Air 13"|Mid 2012|1.8 GHz i5|**93,775 ms**
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