benchmarking

问题 I'm performing matrix multiplication with this simple algorithm. To be more flexible I used objects for the matricies which contain dynamicly created arrays. Comparing this solution to my first one with static arrays it is 4 times slower. What can I do to speed up the data access? I don't want to change the algorithm. matrix mult_std(matrix a, matrix b) { matrix c(a.dim(), false, false); for (int i = 0; i < a.dim(); i++) for (int j = 0; j < a.dim(); j++) { int sum = 0; for (int k = 0; k < a

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 6 years ago . Between Yahoo! UI Compressor, Dean Edwards Packer and jsmin, which produces better results, both in terms of resulting footprint and

问题 In python docs I can see that deque is a special collection highly optimized for poping/adding items from left or right sides. E.g. documentation says: Deques are a generalization of stacks and queues (the name is pronounced “deck” and is short for “double-ended queue”). Deques support thread-safe, memory efficient appends and pops from either side of the deque with approximately the same O(1) performance in either direction. Though list objects support similar operations, they are optimized

问题 Introduction to problem setup I was doing some benchmarks involving - ~A and A==0 for a double array with no NaNs , both of which convert A to a logical array where all zeros are converted to true values and rest are set as false values. For the benchmarking, I have used three sets of input data – Very small to small sized data - 15:5:100 Small to medium sized data - 50:40:1000 Medium to large sized data - 200:400:3800 The input is created with A = round(rand(N)*20) , where N is the parameter

问题 How do I make use of the -short flag given in go test -short ? Is it possible to combine the -short and -benchmark flags? I am quite new to the Go language but I am trying to adapt myself to some of its common practises. Part of this is to try and ensure my code has not only Unit Tests added in a way that the go test system works but that go test -benchmark also functions in a useful manner. At the moment I have a benchmark test that includes a series of sub-tests based on varying sized of

问题 How do I make use of the -short flag given in go test -short ? Is it possible to combine the -short and -benchmark flags? I am quite new to the Go language but I am trying to adapt myself to some of its common practises. Part of this is to try and ensure my code has not only Unit Tests added in a way that the go test system works but that go test -benchmark also functions in a useful manner. At the moment I have a benchmark test that includes a series of sub-tests based on varying sized of

问题 How do I make use of the -short flag given in go test -short ? Is it possible to combine the -short and -benchmark flags? I am quite new to the Go language but I am trying to adapt myself to some of its common practises. Part of this is to try and ensure my code has not only Unit Tests added in a way that the go test system works but that go test -benchmark also functions in a useful manner. At the moment I have a benchmark test that includes a series of sub-tests based on varying sized of

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 6 years ago . I have always thought that c arrays would be faster than std::array in C++ but I have done some benchmarking based off the accessing

问题 I have a question related to latency benchmark. I run Apache ZooKeeper in a cluster of 5 machines (one leader and the rest are followers). There is another machine (client) used to sequence send requests to the protocol. I manage to run a benchmark program which lasts for pre-selected time, aims to send requests simultaneously and continuously to each ZooKeeper server. When the pre-selected time elapses, I can see the latency result. However, the above benchmark uses only one client machine

问题 Say I have a benchmark result like so: 0.020000 0.000000 0.020000 ( 0.020197) I'm creating this with something like Benchmark.bm do |x| x.report { run_a_method() } end This represents the time required to call a method foo one time. I want to produce a benchmark which shows the result of running foo 3 times, but only requires calling the method once. This can be done by simply multiplying the values in the first benchmark by 3. Is there any way to do this? Edit I'm not really appreciating the