benchmarking

问题 I am stuck with the installation of TPC-E EGen on Mac OS X (or Linux). I have downloaded the workload generator from TPC website : www.tpc.org/tpce/egen-download-request.asp but I failed to build it. When using the following command for building the utilities: cd Utilities/prj/GNUMake/ make I receive the following error: ../../prj/GNUMake/Makefile.EGenUtilities:136: ../../obj/DateTime.d: No such file or directory ../../prj/GNUMake/Makefile.EGenUtilities:136: ../../obj/EGenVersion.d: No such

问题 I am stuck with the installation of TPC-E EGen on Mac OS X (or Linux). I have downloaded the workload generator from TPC website : www.tpc.org/tpce/egen-download-request.asp but I failed to build it. When using the following command for building the utilities: cd Utilities/prj/GNUMake/ make I receive the following error: ../../prj/GNUMake/Makefile.EGenUtilities:136: ../../obj/DateTime.d: No such file or directory ../../prj/GNUMake/Makefile.EGenUtilities:136: ../../obj/EGenVersion.d: No such

问题 My question is whether my method and conclusion are correct. As part of my learning regular expressions, I wanted to figure out in which order to learn the various alternatives (base R and packages). I thought it might help to learn the relative speeds of the alternative functions. So, I created a string vector and called what I hope are equivalent expressions. sites <- c("http://grand.test.com/", "https://example.com/", "http://.big.time.bhfs.com/", "http://test.blogs.mvalaw.com/") vec <-

问题 I would like to have a custom main function called before the benchmark starts to run with Google's benchmark library. So that I could setup several things. I've searched for quite a bit but I wasn't able to find anything. Should I simply modify the macro manually? Or simply use my main function and initialize the benchmark myself. Would that affect the library initialization in any way? Is there another way without requiring me to modify that macro or copying it's contents? benchmark

问题 The situation When writing high-performance JavaScript code, the standard profiling tools offered by Chrome et al are not always sufficient. They only seem to offer function-level granularity and it can be quite time-consuming to drill down and find the information I need. In .NET the StopWatch class gives me exactly what I need: sub-microsecond resolution timing of arbitrary pieces of code. For JavaScript performance.now() used to be a pretty good way to measure performance, but in response

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . Improve this question We are doing benchmarking for Perl,Php, Python interpreters using there standard benchmark tools like perlbench,pybench and php bench. Now we need to benchmark JAVA and found "OLIO" kit would help. But seems OLIO supports php and rails. Please suggest me some of

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . Improve this question We are doing benchmarking for Perl,Php, Python interpreters using there standard benchmark tools like perlbench,pybench and php bench. Now we need to benchmark JAVA and found "OLIO" kit would help. But seems OLIO supports php and rails. Please suggest me some of

问题 This gist is a small benchmark I wrote comparing the performance for 4 alternatives for flattening arrays of depth=1 in JS (the code can be copied as-is into the google console). If I'm not missing anything, the native Array.prototype.flat has the worst performance by far - on the order of 30-50 times slower than any of the alternatives. Update : I've created a benchmark on jsperf. It should be noted that the 4th implementation in this benchmark is consistently the most performant - often

问题 I'm trying to somehow test my rbd storage with random read, random write, mixed randrw, but the output is not correct, it is a sequential growing number. What is wrong with my steps? This is the fio file that I ran: ; fio-rand-write.job for fiotest [global] name=fio-rand-write filename=fio-rand-write rw=randwrite bs=4K direct=1 write_iops_log=rand-read [file1] size=1G ioengine=libaio iodepth=16 And the result is this: head rand-read_iops.1.log 2, 1, 1, 4096, 0 2, 1, 1, 4096, 0 2, 1, 1, 4096,

问题 I am measuring performance of different sorting methods using Python built-in library timeit . I would like to pass a function and an integer as arguments to the statement being tested in timeit() . I tried the following: def sort_1(l): ... return l_sorted def test(f: Callable, l_len: int): l = np.random.rand(low=-1000, high=1000, size=l_len) f(l) timeit.timeit(stmt=test(sort_1, l_len=10), number=1000) ... with a ValueError saying that stmt is neither a string nor callable. The error doesn't