Amdahl strikes again!  I knew this lunch was too tasty to be free.

I just thought of another analogy.  When I think of something highly
concurrent and scalable on the JVM, I think of web request handlers, which
effectively use no memory-sharing for domain-specific work, at all, unless
there is some in-memory application state, but in general they shift the
problem to a database.  When the bookkeeping overhead doesn't dominate,
they appear to be highly concurrent.

Shared-memory a wall of abstraction, multi-core cpus don't work this way at
the bottom level, so writing programs this way can only go so far.




On Sun, Apr 28, 2013 at 11:22 AM, Manuel Paccagnella <
manuel.paccagne...@gmail.com> wrote:

> Ok, for everyone that is interested: 
> this<http://www.meetup.com/Functional-Programming-Connoisseurs/messages/boards/thread/30946382>thread
>  on meetup clarified things a bit for me and probably it's a good
> summary on the specific case that Lee found.
>
>
> Il giorno domenica 28 aprile 2013 17:07:04 UTC+2, Lee ha scritto:
>
>>
>> On Apr 28, 2013, at 10:57 AM, Manuel Paccagnella wrote:
>> >
>> > This is an interesting perspective. Are you saying that currently
>> Clojure doesn't offer adequate tools to take full advantage of parallel
>> execution on multi-core machines?
>>
>> I am speaking only from my own experience, and only relative to my own
>> case. But I've been unable to get reasonable speedups for my system, which
>> I think should be an excellent candidate for multi-core speedups. And while
>> I'm not an expert on JVM/Clojure performance I solicited and received
>> advice from people on this list who I think are, and I'm still unable to
>> get reasonable speedups -- maybe a couple of X but maybe not even that, on
>> machines with core-counts up to 48. It may have to do with the kinds of
>> tasks I'm running (lots of sequence manipulation and memory consumption,
>> etc.), but for whatever reason I am still unable to get Clojure's
>> oft-touted multi-core benefits.
>>
>>  -Lee
>>
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