You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I've noticed recently that running gonx-based applications on more CPUs doesn't improve the performance. So, I've created a benchmark processing 1 million records and measured the results on four multi-core VM instances on Google Cloud Platform — https://cloud.google.com/compute/docs/machine-types#highcpu
Also I've compared 'em with another benchmark results utilizing glow library.
Here are the resulting charts:
The text was updated successfully, but these errors were encountered:
Thanks for benchmarks! The library has no multicore support or any kink of autoscaling, it uses hardcoded number of workers https://github.com/satyrius/gonx/blob/master/mapreduce.go#L25. I think we can calculate topLoad depending on CPU count or accept desired count as a parameter. And we should play with GOMAXPROCS
Hello,
I've noticed recently that running gonx-based applications on more CPUs doesn't improve the performance. So, I've created a benchmark processing 1 million records and measured the results on four multi-core VM instances on Google Cloud Platform — https://cloud.google.com/compute/docs/machine-types#highcpu
Also I've compared 'em with another benchmark results utilizing glow library.
Here are the resulting charts:
The text was updated successfully, but these errors were encountered: