Hi Iliyan, I just read your message now.
Evoqus is a great idea! We are also working on a transparent support for Julia computing in the cloud, based on DistributedArrays. We intend to include pricing features as you did. Do you intend to share your code (even partially)? Congratulations for the work! André. On Tuesday, October 27, 2015 at 2:23:33 AM UTC-3, Iliyan Zarov wrote: > > For anyone wishing to run large parallel programs I may be able to help - > I'm working on a cloud computing platform for Julia that takes care of > provisioning and managing all resources. More info at https://evoqus.com > . > > It's currently in beta, get in touch if interested. > > > Best, > > Iliyan > > On Monday, October 26, 2015 at 6:41:57 PM UTC, cdm wrote: >> >> >> perhaps time for an asterisk on the JuliaBox banner: >> >> "The Julia community is doing amazing things. We want you in on it!*" >> >> * ... but not massively in parallel, consuming the resources of the >> community. >> >> >> >> there are positives and negatives to this sort of problem ... >> >> the fact that the problem can even arise says great things >> about the capabilities of the language and the service. >> >> well done ... >> >> >> >> On Sunday, October 25, 2015 at 2:11:25 AM UTC-7, Tanmay K. Mohapatra >> wrote: >>> >>> Hi, >>> >>> from the past few days we have had some users run large parallel >>> programs on JuliaBox sessions. While in some cases they succeed, we see a >>> lot of failures due to resource constraints. Though we have plans to enable >>> large programs in future, we do not allocate enough resources for that now. >>> >>> Also, since JuliaBox sessions run on shared infrastructure, this affects >>> other sessions that are co-located on the same machine. We will be putting >>> in place more checks and restrictions soon to prevent co-located sessions >>> from being impacted. >>> >>> We would request users to refrain from running large parallel programs >>> for now. If this is being done as part of some university class, please >>> write to us. Probably a separately provisioned cluster will be more >>> appropriate for that. >>> >>> - JuliaBox Team >>> >>
