Just parallelize in the cloud. At a minimum parallelize locally with multiple Go routines.
> On Jun 26, 2020, at 7:51 AM, howardcs...@gmail.com wrote: > > > I don't know if the CGo transitions for 16 million images will completely > swamp the speed gains, or how much post-processing you need to do to these > images, but you might try https://github.com/h2non/bimg and see if it gives > you any wins. It claims 'typically 4x faster' then the Go Image package. It > is a CGO interface to libvips, which is an experimental branch of libspng, > which is a performance focused alternative to libpng. > > Howard > -- > You received this message because you are subscribed to the Google Groups > "golang-nuts" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to golang-nuts+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/golang-nuts/9f8d3086-75f4-47e1-b49a-4dce057258cco%40googlegroups.com. -- You received this message because you are subscribed to the Google Groups "golang-nuts" group. To unsubscribe from this group and stop receiving emails from it, send an email to golang-nuts+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/golang-nuts/4602D226-D923-4F93-A256-429D8657F5FE%40ix.netcom.com.
