Hi Josh and Ye,
FYI, GML only supports double precision data type (not float or integer).
GML DistBlockMatrix does not use x10.dist to construct distributed data
structure. You can check the latest x10.matrix.distblock.DistBlockMatrix
about how the distr data is created. There are three different
MatrixVector multiplications using DistBlockMatrix
(distblock/DistDupVectorMult). You may choose the best in scalability for
your application. There is not much documentation about distblock. Let me
know if you have any question. I will do my best.
When you use x10.dist to create your distributed data, you must be very
careful about remote capture. It makes inter-place communication
effortless, however, it also could burn all your performance when you
unintentional capture "this" in remote execution block. There are some
tips of how to avoid it, such as making the method containing async at () {
} (or ateach { }) static. Check X10 manual 13.3 Place Changing.
Josh, the latest GML now can be built on BlueGene/P system (not
BlueGene/Q). You need to build GML in native and compile apps on pgas
transport (check "make bgp" in scripts/build_native.mk). Please let me know
if you have any problem.
Best,
Juemin
On Fri, Apr 20, 2012 at 7:00 PM, Josh Milthorpe
<josh.miltho...@anu.edu.au>wrote:
> **
> Hi Ye,
>
> the syntax for Region and Point has changed since that example was posted
> (I think it was in X10 2.1).
>
> Points are now 'exploded' (separated into their component indices) using
> square brackets, as follows:
>
> for ([i,j] in (da|here)) {
>
> Also, a Region can now be constructed simply as a product of integer
> ranges, for example:
>
> val r = 1..1000 * 1..1000;
>
> The X10 Global Matrix Library implements many linear algebra operations
> (including matrix-vector multiply) over a variety of matrix formats. It
> may contain code examples that will be useful to you.
>
> http://x10-lang.org/documentation/code-examples/global-matrix-library.html
>
> Cheers,
>
> Josh
>
> On 20/04/12 09:01, Fan, Ye wrote:
>
> Hi,
>
> I'm new to X10 and currently coding with X10DT 2.2.2. Trying to
> implement some simple numerical analysis algorithm, which involves matrix
> vector multiplication. I've done it in the "concurrent" way (spawn thread
> using async) and the performance is not very good. Now I would like to try
> the "distributed" approach. However, I don't know how to create and
> traverse a 2-d DistArray.
>
> I actually found the following code snippet in the mailing list
> regarding to "performance issue with matrix vector multiply program", which
> is exactly what I need.
> ......
>
> val r = [1..1000,1..1000] as Region;
> val d = Dist.makeBlock(r);
> val da = DistArray.make[float](d);
> val start = System.nanoTime();
> var tmp:float = 0;
> for ((i,j) in (da|here)) {
> tmp += da(i,j);
> }
>
> ......
> However, when I did it in the same way, my Eclipse refused to take "for
> ((i,j) in (da|here))". Any idea where the problem is?
>
> Thanks
> Ye
>
>
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