[Haskell-cafe] haskell in the cloud

Dennis Raddle dennis.raddle at gmail.com
Wed May 23 21:59:27 UTC 2018

Thanks, everyone.

Billing by the second is good. Billing by the hour is not going to work
(that seems to be the Scaleway model).

When I asked this question a while back, I was told that there is a cloud
service specifically for Haskell programs. Just wondering if that might be
a good fit for me.

I probably would benefit the most by running on multiple machines. I'd like
to have them coordinate with each other... i.e. one main controller program
will initiate and run other programs for a few seconds, then collect the
results and start another run.

What's the simplest Haskell library to get this going? Cloud Haskell?


On Wed, May 23, 2018 at 1:24 PM, David Reaver <johndreaver at gmail.com> wrote:

> Amazon Web Services has a x1.32xlarge EC2 instance with 128 CPU cores and
> just under 2000 GiB of RAM for about $13 per hour. AWS actually has
> per-second billing (with a 1 minute minimum) since late last year.
> They have lots of other options as well of course. Here is their pricing
> page: https://aws.amazon.com/ec2/pricing/on-demand/
> On Wed, May 23, 2018 at 2:51 AM, Dennis Raddle <dennis.raddle at gmail.com>
> wrote:
>> I have a CPU-intensive Haskell application. I have it working with simple
>> multi-core concurrency. I'm wondering if I can run this on a cloud virtual
>> machine with 128 cores or so, paying by the CPU minute. I'll run it for
>> maybe 15 minutes a day so I'm probably best off paying just for the CPU
>> used.
>> What platform would be recommended? For ease of use? For best
>> price/performance?
>> It's a backtracking optimization algorithm that builds data, one element
>> at a time. It's not hard at all to make it concurrent: at the first 3 or so
>> levels of element choices would be about 100 to 500 combinations. Even if
>> the simplest method of running concurrent Haskell on multiple cores doesn't
>> work, I could just divide these first cases into batches and run them on
>> individual machines.
>> D
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