benchmarking

问题 I don't want to change this code, I'm only interested in JVM, OS or kernel customization/configuration for best results! I have one second loop (1000 x 1ms) public static void main(String[] args) throws InterruptedException { long start = System.nanoTime(); for (int i = 0; i < 1000; i++ ) { Thread.sleep(TimeUnit.MILLISECONDS.toMillis(1)); } long duration = System.nanoTime() - start; System.out.println("Loop duration " + duration / TimeUnit.MILLISECONDS.toNanos(1) + " ms."); } On my Fedora 20

问题 Guava has a guava-tests subdirectory that contains a directory subtree called benchmark . It appears that executing mvn test (or mvn install ) runs the full suite of unit tests in the test subtree, but nothing is run in the benchmarks suite. My question is: how do you actually run the benchmark suite? In other words, if I download the guava source from git (say, in a Linux environment), what are the steps I need to take to build guava and run its benchmark suite locally? There is surprisingly

问题 I'd like to know if there are some benchmark to compare how much cost insert some check constraints on a table of 60 columns where on 20 i'd like to insert a constraints of NotEmpty and on 6 rows NotNull. My case is that i have on my table Empty values and Null values (that in my case means always "no data"). I'd like to unify that data values with just one. That's why I'm thinking to insert NotEmpty constraints on columns, because as i have read null value are not heavy (in byte size) as

问题 I have a file with some benchmarks and tests and would like to test against stable, beta and nightly. However, either I don't use the benchmark or stable/beta complain. Is there a way to hide all the benchmark parts when using stable/beta? As an example the following code from the book: #![feature(test)] extern crate test; pub fn add_two(a: i32) -> i32 { a + 2 } #[cfg(test)] mod tests { use super::*; use test::Bencher; #[test] fn it_works() { assert_eq!(4, add_two(2)); } #[bench] fn bench_add

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 3 years ago . Doing Python on relatively small projects makes me appreciate the dynamically typed nature of this language (no need for declaration code to keep track of types), which often makes for a quicker and less painful development process along the way. However, I feel that in much

问题 < backgound> I'm at a point where I really need to optimize C++ code. I'm writing a library for molecular simulations and I need to add a new feature. I already tried to add this feature in the past, but I then used virtual functions called in nested loops. I had bad feelings about that and the first implementation proved that this was a bad idea. However this was OK for testing the concept. < /background> Now I need this feature to be as fast as possible (well without assembly code or GPU

问题 Suppose I have a code executed in Unix this way: $ ./mycode My question is is there a way I can time the running time of my code executed K times. The value of K = 1000 for example. I am aware of Unix "time" command, but that only executed 1 instance. 回答1: try $ time ( your commands ) write a loop to go in the parens to repeat your command as needed. Update Okay, we can solve the command line too long issue. This is bash syntax, if you're using another shell you may have to use expr(1) . $

问题 what's the procedure I should follow to run a simple test on a domain www.example.com?I'm on windows environment and have installed WAMP server 2.1. I actually know wich command I should use (Ex. ab -n 1 http://www.example.com/) but dont know where I should type it. thanks for your patience 回答1: I don't know the path WampServer is installed to, so I'll just show you how I do it under WampDeveloper (which is what I use). Run cmd.exe. Inside... C: cd \WampDeveloper\Components\Apache\bin ab -n 1

问题 It was my understanding that brackets were nothing more than a wrapper for __getitem__ . Here is how I benchmarked this: First, I generated a semi-large dictionary. items = {} for i in range(1000000): items[i] = 1 Then, I used cProfile to test the following three functions: def get2(items): for k in items.iterkeys(): items.get(k) def magic3(items): for k in items.iterkeys(): items.__getitem__(k) def brackets1(items): for k in items.iterkeys(): items[k] The results looked like so: 1000004

问题 Look at this code: one.cpp: bool test(int a, int b, int c, int d); int main() { volatile int va = 1; volatile int vb = 2; volatile int vc = 3; volatile int vd = 4; int a = va; int b = vb; int c = vc; int d = vd; int s = 0; __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); __asm__("nop"); for (int i=0; i