On 09/21/2018 12:25 AM, Chris Katko wrote:
On Thursday, 20 September 2018 at 05:51:17 UTC, Neia Neutuladh wrote:
On Thursday, 20 September 2018 at 05:34:42 UTC, Chris Katko wrote:
All I want to do is loop from 0 to [constant] with a for or foreach,
and have it split up across however many cores I have.
You're looking at std.parallelism.TaskPool, especially the amap and
reduce functions. Should do pretty much exactly what you're asking.
auto taskpool = new TaskPool();
taskpool.reduce!((a, b) => a + b)(iota(1_000_000_000_000L));
I get "Error: template instance `reduce!((a, b) => a + b)` cannot use
local __lambda1 as parameter to non-global template
reduce(functions...)" when trying to compile that using the online D
editor with DMD and LDC.
Any ideas?
You can use a free-standing function as a workaround, which is included
in the following chapter that explains most of std.parallelism:
http://ddili.org/ders/d.en/parallelism.html
That chapter is missing e.g. the newly-added fold():
https://dlang.org/phobos/std_parallelism.html#.TaskPool.fold
Ali
