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80 seconds and uses 700 MB of memory The Go program runs in 25 20 seconds and uses 1302 MB of memory.. At Scala Days 2011, Robert Hundt presented a paper titled Loop Recognition in C /Java/Go/Scala.. (These measurements are difficult to reconcile with the ones in the paper, but the point of this post is to explore how to use `go tool pprof`, not to reproduce the results from the paper.. 8 0, which was released in March 2013 ) We've taken Hundt's benchmark programs in C and Go, combined each into a single source file, and removed all but one line of output. Click
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7x ) Hundt's paper does not specify which versions of the C , Go, Java, and Scala tools he used.. ) (Update: In this updated post, we will be using the most recent development snapshot of the Go compiler on amd64 and the most recent version of g -- 4.. In this blog post, we will be using the most recent weekly snapshot of the 6g Go compiler and the version of g that ships with the Ubuntu Natty distribution.. After adding that code, we can run the program with the new -cpuprofile flag and then run `go tool pprof` to interpret the profile. https://borrmuvalpe.mystrikingly.com/blog/billionaire-2-game-crack
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) To start tuning the Go program, we have to enable profiling If the code used the Go testing package's benchmarking support, we could use gotest's standard -cpuprofile and -memprofile flags.. We'll time the program using Linux's time utility with a format that shows user time, system time, real time, and maximum memory usage: The C program runs in 17. Click
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(Update: Due to recent optimizations of libstdc in gcc, the memory reduction is now 3.. /**/ I wrote a persistent network service in Perl that runs on Linux Unfortunately, as it runs, its Resident Stack Size RSS just grows, and grows, and grows, slowly but.. Since C was the fastest language in the paper, the comparisons here with C should suffice.. The Go program presented in that paper runs quite slowly, making it an excellent opportunity to demonstrate how to use Go's profiling tools to take a slow program and make it faster. e10c415e6f HERE
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By using Go's profiling tools to identify and correct specific bottlenecks, we can make the Go loop finding program run an order of magnitude faster and use 6x less memory.. (We will not be using Java or Scala, because we are not skilled at writing efficient programs in either of those languages, so the comparison would be unfair. HERE