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Caliper is a test suite focused on functional integrity and performance evaluation of boards, it not only detects if the hardware and software of the board can work well, but also tests the performance. Caliper can be run on boards to get test data, then converse the test data to scores by a series of formulas. Then the test data can be easily to read. Thereby caliper intuitively presents various performance values and shows the performance gaps of the boards. Caliper mainly builds on the existing open source benchmarks and test suites.
It can be divided into the following parts: The test suite mainly includes performance test cases, it can be used to test the performance of machine, and now we have not integrated many functional tests. Here is steps to setup testbed. We can download the existing compiled toolchains from some website.
Here is website to download ARM toolchains: Enter the test suite cd caliper Install Caliper Optional sudo python setup. Not Install Caliper running Caliper in your home directory. Configure the execution way This lmbench arm-linux-gnueabi-gcc when the processes of building and running occurred error, if caliper will be stopped.
If you have configured your environment, you can enter the commands of caliper to run caliper, it will compile and execute test cases, parser the output and get the summarization of the outputs.
The command is caliper. You can use caliper -h to show all the commands options. After the process finished, you can view the generated files, including the log files, binary files, test results and so on. Otherwise, they will locate in the Caliper root directory when you run caliper from the Caliper source code. After lmbench arm-linux-gnueabi-gcc caliper -option command has been finished, the dark tower 2 maplestory lmbench arm-linux-gnueabi-gcc are in the results folder, the results folder contains all the results.
If it is not there, maybe you have a wrong when generating the webpages or you have not select the option to generate the webpage. There are several files and folders in the test suite, they are listed in the follow. Caliper will run the commands and parser the commands one by one. This directory contains the scripts for dispatching the build, run lmbench arm-linux-gnueabi-gcc parser on the Host and remote login in the Target.
Also part of scripts in server directory will use the function in the directory named of client. The thought of client and server is borrowed from the Autotest. The build directory is for building the benchmarks in Caliper.
The hosts directory lmbench arm-linux-gnueabi-gcc contains the class of hosts and how to use hosts. The tree of it is listed in the follow. The architecture of common directory looks like below. Namely, the build script, the run config file should be added in the directory. The format of the info is listed below. The options of buildrun and parser are indispensable.
The values in the section are all files which need to be located in the classfication folder common, arm, server and so on. The script file which is specified by the build option can compile the benchmark. The exsiting shell script of other benchmarks can be referenced. The path should be taken into consideration.
Take the scimark build for example. Then you can lmbench arm-linux-gnueabi-gcc the build commands in lmbench arm-linux-gnueabi-gcc later space. For different arch, you can use different commands. The run option illustrates the configuration of running the benchmark. The content of the configuration file is like this:. Each section in lmbench arm-linux-gnueabi-gcc configuration is a Test Case. The category key set the value of the Test Case s category.
New computation method can be added in that file. The command lmbench arm-linux-gnueabi-gcc the instruction which will be run on the target. The parser set the method to parser the output of the command, the parser must be implemented in the parser file. Also, we support the different length of category. Why we lmbench arm-linux-gnueabi-gcc so many kinds of category, it is because one test case may include many values which belong to lmbench arm-linux-gnueabi-gcc kinds of categories.
In addtion the parser must return lmbench arm-linux-gnueabi-gcc number, which is needed for lmbench arm-linux-gnueabi-gcc later score computing. The parser need to return a dictionary. Each element of the list is a dictionary, it looks like this: But if some values are about latency while others are about bandwidth in the dictionary, it is not scientific to use one formula to get the score for latency and bandwidth, they need different compute methods.
If the parser return a dictionary, then all values in the dictionary will use the function to do the normalisation. If the command is execcuted successfully, the function of parser return a float number; or the 0 should be returned.
The values generated by the run and parser will be stored in the yaml file, the hoatname. It will be used for drawing graph. Caliper for Benchmarking. Post on Aug 10