benchmarking

问题 In Chandler Carruth's CppCon 2015 talk he introduces two magical functions for defeating the optimizer without any extra performance penalties. For reference, here are the functions (using GNU-style inline assembly): void escape(void* p) { asm volatile("" : : "g"(p) : "memory"); } void clobber() { asm volatile("" : : : "memory"); } It works on any compiler which supports GNU-style inline assembly (GCC, Clang, Intel's compiler, possibly others). However, he mentions it doesn't work in MSVC.

问题 I am evaluating a network+rendering workload for my project. The program continuously runs a main loop: while (true) { doSomething() drawSomething() doSomething2() sendSomething() } The main loop runs more than 60 times per second. I want to see the performance breakdown, how much time each procedure takes. My concern is that if I print the time interval for every entrance and exit of each procedure, It would incur huge performance overhead. I am curious what is an idiomatic way of measuring

问题 I am checking on Celero git repository the meaning of DoNotOptimizeAway . But I still don't get it. Could you please help me understand it in layman's terms please. As much as you can. The celero::DoNotOptimizeAway template is provided to ensure that the optimizing compiler does not eliminate your function or code. Since this feature is used in all of the sample benchmarks and their baseline, it's time overhead is canceled out in the comparisons. 回答1: You haven't included the definition, just

问题 This question already has answers here : Performance: memset (2 answers) Why might std::vector be faster than a raw dynamically allocated array? (2 answers) Why is iterating though `std::vector` faster than iterating though `std::array`? (2 answers) Idiomatic way of performance evaluation? (1 answer) Closed last month . When I run the following program (with optimization on), the for loop with the std::vector takes about 0.04 seconds while the for loop with the array takes 0.0001 seconds.

问题 I'm not sure if this is a CV question or SO, so I apologize if it falls within the CV domain. Problem I know it's possible to microbenchmark specific chunks of R code, but is there any benchmark-ing tool for an entire Jupyter Notebook? I could just run the entire notebook and time it manually, but I'd like more statistics and precision on the timing for which the microbenchmark package provides (I'm trying to make a case for automation of data analyses and visualizations). The other dilemma

问题 I looking for the info that can help in estimating interrupt latencies on x86 CPUs. The very usefull paper was found at "datasheets.chipdb.org/Intel/x86/386/technote/2153.pdf". But this paper opened a very important question for me: how can be defined the delay provided by waiting of completion of the current instruction? I mean delay between recognition of the INTR signal and executing of INTR micro-code. As I remember, the Intel Software developer manual also tells something about waiting

问题 I am trying to build google-benchmark and use it with my library using cmake. I have managed to build google-benchmark and run all its tests successfully using cmake. I am unfortunately unable to link it properly with my c++ code in windows using cmake or cl. the problem I think is that google-benchmark builds the library inside the src folder, i.e it is build in src/Release/benchmark.lib now i cannot point to it in cmake if I use ${benchmark_LIBRARIES} it looks for the library in the Release

问题 I've tried benchmarking and for some reason when trying both of them on array of 1M elements the Mergesort sorted it in 0.3s and Quicksort took 1.3s. I've heard that generally quicksort is faster, because of its memory management, but how would one explain these results? I am running MacBook Pro if that makes any difference. The input is a set of randomly generated integers from 0 to 127. The codes are in Java: MergeSort: static void mergesort(int arr[]) { int n = arr.length; if (n < 2)

问题 ab -n 1 -c 1 http://localhost:2020/welTo.do?pxtId=3000007937&superDo=jack I got answer for first query string but i also get 'superDo' is not recognized as an internal or external command, operable program or batch file. Please help me TIA Regards thiru 回答1: You probably just need to quote the URL to avoid shell special characters from being interpreted. In this case your & symbol is causing the text to the left to be run in the background while attempting to run superDo as a command. ab -n 1

问题 This research paper runs a series of several CUDA microbenchmarks on a GPU to obtain statistics like global memory latency, instruction throughput, etc. This link is the link to the set of microbenchmarks that the authors wrote and ran on their GPU. One of the microbenchmarks called global.cu gives the code for a pointer-chasing benchmark to measure global memory latency. This is the code of the kernel that is run. __global__ void global_latency (unsigned int ** my_array, int array_length,