profiling

问题 What is the fastest way to read from STDIN a number of 1000000 characters (integers), and split it into an array of one character integers (not strings) ? 123456 > [1,2,3,4,5,6] 回答1: This should be reasonably fast: a = [] STDIN.each_char do |c| a << c.to_i end although some rough benchmarking shows this hackish version is considerably faster: a = STDIN.bytes.map { |c| c-48 } 回答2: The quickest method I have found so far is as follows :- gets.unpack("c*").map { |c| c-48} Here are some results

问题 What is the fastest way to read from STDIN a number of 1000000 characters (integers), and split it into an array of one character integers (not strings) ? 123456 > [1,2,3,4,5,6] 回答1: This should be reasonably fast: a = [] STDIN.each_char do |c| a << c.to_i end although some rough benchmarking shows this hackish version is considerably faster: a = STDIN.bytes.map { |c| c-48 } 回答2: The quickest method I have found so far is as follows :- gets.unpack("c*").map { |c| c-48} Here are some results

问题 This is by far the most complex software I've built and now it seems to be running out of memory at some point. I haven't done extensive testing yet, because I'm a bit lost how I should approach the problem at hand. HandleCount: 277 NonpagedSystemMemorySize: 48136 PagedMemorySize: 1898590208 PagedSystemMemorySize: 189036 PeakPagedMemorySize: 1938321408 VirtualMemorySize: 2016473088 PeakVirtualMemory: 2053062656 WorkingSet: 177774592 PeakWorkingSet: 883834880 PrivateMemorySize: 1898590208

问题 My Problem, Briefly I made a change to my library, now it's much slower but I can't figure out where it spends all that additional time. Profiling reports are not helping. Please help me figure out what the reason might be. Some Context I made a Redis client-library called Hedis and have a benchmark program for it. Now, I made some internal changes to the library, to clean up the architecture. This caused performance (in Redis-requests per second, as measured by said benchmark) to drop by a

问题 We're trying to measure performance of our system, which is a .NET 3.5 application that uses WCF calls. Problem is until now, we weren't able to profile the methods inside these calls. A winforms client application was coded to test our system. We tried using ANTS 4 Profiler and VS2008 built-in Performance Analyzer, but we only got the total time of the WCF call. We would like to be able to measure all the calls that are being made inside of the WCF call. Does anybody know if that's possible?

问题 We're trying to measure performance of our system, which is a .NET 3.5 application that uses WCF calls. Problem is until now, we weren't able to profile the methods inside these calls. A winforms client application was coded to test our system. We tried using ANTS 4 Profiler and VS2008 built-in Performance Analyzer, but we only got the total time of the WCF call. We would like to be able to measure all the calls that are being made inside of the WCF call. Does anybody know if that's possible?

问题 I'm using xdebug with PHP to do some performance profiling. But when I run the same script more than once, I often get very different times. So it's hard to know how much faith to put in the results. Obviously there's a lot happening on a machine that can affect PHP's performance. But is there anything I can do to reduce the number of variables, so multiple tests are more consistent? I'm running PHP under Apache, on Mac OS X. 回答1: Reduce the number of unrelated services on the box as much as

问题 I am recording a performance counters frm linux using the command perf record. I want to use the result perf.data as an input to other programming apps. Do you know how shall I read and parse the data in perf.data ? Is there a way to transform it to .text file or .csv ? 回答1: An example command definition that redirects service check performance data to a text file for later processing by another application is shown below: define command{ command_name store-service-perfdata command_line /bin

问题 I have a PHP website on a Apache server, and I would like to know if there are tools and other ways I can profile this to find bottlenecks on the code. What I need to know is what functions are taking long to process, etc. Something like gprof, except for PHP on live apache server. What are other ways to find bottlenecks in a PHP system. 回答1: You can use xdebug - once installed you can trigger profiling of requests in a variety of ways, and you wind up with a valgrind format profile for each

问题 I have multiple kernels, and they are launched in sequential manner like this: clEnqueueNDRangeKernel(..., kernel1, ...); clEnqueueNDRangeKernel(..., kernel2, ...); clEnqueueNDRangeKernel(..., kernel3, ...); and, multiple kernels share one global buffer. Now, I profile every kernel execution and sum them up to count total execution time by adding the code block after clEnqueueNDRangeKernel: clFinish(cmdQueue); status = clGetEventProfilingInfo(...,&starttime,...); clGetEventProfilingInfo(...,