On Thu, 28 Jun 2012 00:34:50 +0200, Minas Mina wrote:
I have been playing latetly with std.concurrency and core.thread. I
like both, but they are entirely different approaches to concurrency.
std.concurrency: Uses message passing. Does not allow passing of mutable
types.
core.thread:
On Wednesday, 27 June 2012 at 23:50:17 UTC, Ali Çehreli wrote:
On 06/27/2012 04:05 PM, Adam Burton wrote:
For example I would like to
have a thread calculate the sum of the first half of an array
while another thread would calculate the other half, and I
could
add the two results at the
yeah, I didn't knew std.parallelism was so easy to use. Speed up was
really big for minimal effort.
I have been playing latetly with std.concurrency and
core.thread. I like both, but they are entirely different
approaches to concurrency.
std.concurrency: Uses message passing. Does not allow passing of
mutable types.
core.thread: Essentially the same as the approach taken by Java.
1) Is
Minas Mina wrote:
I have been playing latetly with std.concurrency and
core.thread. I like both, but they are entirely different
approaches to concurrency.
std.concurrency: Uses message passing. Does not allow passing of
mutable types.
core.thread: Essentially the same as the approach
On Thu, 28 Jun 2012 00:34:50 +0200, Minas Mina wrote:
I have been playing latetly with std.concurrency and core.thread. I
like both, but they are entirely different approaches to concurrency.
std.concurrency: Uses message passing. Does not allow passing of mutable
types.
core.thread:
On Wednesday, 27 June 2012 at 22:34:51 UTC, Minas Mina wrote:
I have been playing latetly with std.concurrency and
core.thread. I like both, but they are entirely different
approaches to concurrency.
Aren't they great? ;)
std.concurrency: Uses message passing. Does not allow passing
of
On 06/27/2012 04:05 PM, Adam Burton wrote:
For example I would like to
have a thread calculate the sum of the first half of an array
while another thread would calculate the other half, and I could
add the two results at the end.
For this task there is another concurrency module called
You all helped, thank you :)
I will read the concurrency part tomorrow!
