On Tuesday, 25 August 2015 at 05:12:55 UTC, Laeeth Isharc wrote:
What's the best reference to learn more about PGAS?
I've seen a few presentations,
https://www.osc.edu/sites/osc.edu/files/staff_files/dhudak/pgas-tutorial.pdf
More info on the Go 1.5 concurrent GC, a classic one:
https://blog.golang.org/go15gc
On Tuesday, 25 August 2015 at 07:18:24 UTC, Ola Fosheim Grøstad
wrote:
On Tuesday, 25 August 2015 at 05:09:56 UTC, Laeeth Isharc wrote:
On Monday, 24 August 2015 at 21:57:41 UTC, rsw0x wrote:
[...]
Horses for courses ? Eg for Andy Smith's problem of
processing trade information of tens of
On Tuesday, 25 August 2015 at 05:09:56 UTC, Laeeth Isharc wrote:
On Monday, 24 August 2015 at 21:57:41 UTC, rsw0x wrote:
On Monday, 24 August 2015 at 21:20:39 UTC, Russel Winder wrote:
For Python and native code, D is a great fit, perhaps more so
that Rust, except that Rust is getting more
On Tuesday, 25 August 2015 at 07:21:13 UTC, rsw0x wrote:
An option implies you can turn it off, has this changed since
the last time I used Rust?(admittedly, a while back)
Rust supports other reference types, so you decide by design
whether you want to use linear typing or not?
On Monday, 24 August 2015 at 21:20:39 UTC, Russel Winder wrote:
The issue here for me is that Chapel provides something that C,
C++, D, Rust, Numba, NumPy, cannot – Partitioned Global Address
Space (PGAS) programming. This directly attacks the
multicore/multiprocessor/cluster side of
On Monday, 24 August 2015 at 21:20:39 UTC, Russel Winder wrote:
For Python and native code, D is a great fit, perhaps more so
that Rust, except that Rust is getting more mind share,
probably because it is new.
I'm of the opinion that Rust's popularity will quickly die when
people realize
On Sun, 2015-08-23 at 19:42 +, via Digitalmars-d-learn wrote:
[…]
Yes, of course it is, but given it's typical use context I find
it odd that they didn't go more towards higher level constructs.
For me Go displaces Python where more speed is required, though I
wish it was more
. Of course systems like Numba change the Python performance
game, which undermines D's potential in the Python-verse, as it
does C and C++. Currently I am investigating
Python/Numba/Chapel as the way of doing performance computing.
Anyone who just uses Python/NumPy/SciPy is probably not doing
On Monday, 24 August 2015 at 21:57:41 UTC, rsw0x wrote:
On Monday, 24 August 2015 at 21:20:39 UTC, Russel Winder wrote:
For Python and native code, D is a great fit, perhaps more so
that Rust, except that Rust is getting more mind share,
probably because it is new.
I'm of the opinion that
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