profiling

问题 In the past I've used performance profiling tools such as nprof, Equatec profiler and Yourkit profiler to identify and remove/reduce performance bottlenecks in code mostly running in one thread (serialized execution). Nowadays I write a lot of multi-threaded code which can be slowed down by lock contention; what tools and tricks can be used to identify where lock contention is occuring and by how much? 回答1: This is available soon, currently shipping in Visual Studio 2010 beta 2. Here's a

问题 In the past I've used performance profiling tools such as nprof, Equatec profiler and Yourkit profiler to identify and remove/reduce performance bottlenecks in code mostly running in one thread (serialized execution). Nowadays I write a lot of multi-threaded code which can be slowed down by lock contention; what tools and tricks can be used to identify where lock contention is occuring and by how much? 回答1: This is available soon, currently shipping in Visual Studio 2010 beta 2. Here's a

问题 I have a kernel that is performing poorly on CC 3.0 (Kepler) as opposed to CC 2.0 (Fermi). In the Nsight profiler, the Warp Issue Efficiency chart is showing that 60% of the time, there were no eligible warps and the Issue Stall Reasons chart is showing that 60% of these are due to "Other". I'm wondering what the Other issue stall reasons are and what I might do to reduce them. CUDA 5.0. / Nsight 3.0. RC / CC 3.0. 回答1: In Nsight Visual Studio Edition 3.0 CUDA Profiler the Issue Efficiency

问题 I have an asp.net app, before the app can provide services, it needs to build a very large local cache. I want to profile a specific part of the code. My app is quite huge, I don’t want to profile it entirely. I just want to profile the code path that serves the request. I start to use dotMemory to track my app memory usage. When I try to attach to a process, the profiler options of two checkbox on the dialog: 1) collect every N-th object 2) collect memory traffic can't be checked. Why

问题 I have got this seemingly trivial parallel quicksort implementation, the code is as follows: import System.Random import Control.Parallel import Data.List quicksort :: Ord a => [a] -> [a] quicksort xs = pQuicksort 16 xs -- 16 is the number of sparks used to sort -- pQuicksort, parallelQuicksort -- As long as n > 0 evaluates the lower and upper part of the list in parallel, -- when we have recursed deep enough, n==0, this turns into a serial quicksort. pQuicksort :: Ord a => Int -> [a] -> [a]

问题 This question already has answers here : Function execution time (2 answers) Closed 5 years ago . I want to find out the time spent by a particular function in my program. FOr that purpose, I am making use of gprof. I used the following command to get the time for the specific function but still the log file displays the results for all the functions present in the program. Please help me in this regard. gprof -F FunctionName Executable gmon.out>log 回答1: You are nearly repeating another

问题 This question already has answers here : Function execution time (2 answers) Closed 5 years ago . I want to find out the time spent by a particular function in my program. FOr that purpose, I am making use of gprof. I used the following command to get the time for the specific function but still the log file displays the results for all the functions present in the program. Please help me in this regard. gprof -F FunctionName Executable gmon.out>log 回答1: You are nearly repeating another

问题 After reading an article in the most recent issue of MSDN magazine, I wanted to try using VADump to break down the memory usage of some applications I've written. The only copy of the executable on my PC is at: c:\Program Files\Microsoft Visual Studio 8\Common7\Tools\Bin\winnt\vadump.exe No matter what combination of arguments I give VADump, it gives back the error: OpenProcess Failed c0000034 Googling for this turns up a few others who've had the same issue, but none of these posts had

问题 I've read through quite some documentation and questions but I'm still confused about this. In the Profiling section of the documentation it's suggested to first run the target function in the REPL once, so that it's already compiled before being profiled. However, what if the script is fairly complicated and is inteded to be run in the command line, taking arguments? When the julia process finishes and I run the script the second time, is the compilation performed again? Posts like https:/

问题 I wish to profile my program written in Haskell. On compilation, I am told that I do not have profiling libraries for certain dependencies (e.g., criterion ) installed and cabal aborts. I have no interest in profiling parts of those dependencies; code called from main doesn't even use them. How can I profile my application without installing profiling libraries I don't need and without removing all those dependencies? 回答1: A good way to circumvent having to compile everything with profiling