Dear Krishna,

      Thank you very much for your reply, and yes it seems very convincing,
but do you know how to modify my code
to be divided to two phases? I mean how to divide the loop part into two
parts (which are the 2 threads)

Thank you,
Regards,
Mohammed

On Mon, Jul 5, 2010 at 6:27 AM, Krishna Nandivada Venkata <
nvkris...@in.ibm.com> wrote:

> Hi.
> You are essentially creating a lot of activities, but the fact remains you
> have only two compute threads. That is you specify your ideal parallelism
> (1000x1000 threads), but the useful parallelism is just two threads - you
> have only two hardware cores or threads. So there is a significant overhead
> in terms of activity creation/scheduling/termination.
>
> A simple but effective means to handle it is via loop chunking (see
> http://portal.acm.org/citation.cfm?id=1542275.1542304). I don't think it
> is
> yet implemented in the X10 compiler. So for the time being you may want to
> do it manually - replace the parallel loop which creates a large number of
> activities with one that creates fewer number of activities.
>
> Warm regards,
> Krishna.
>
> |------------>
> | From:      |
> |------------>
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
>   |mohammed elsaeedy <mohammed.elsae...@kaust.edu.sa>
>                                                                            |
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
> |------------>
> | To:        |
> |------------>
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
>  |Mailing list for users of the X10 programming language <
> x10-users@lists.sourceforge.net>
>                |
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
> |------------>
> | Date:      |
> |------------>
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
>  |07/05/2010 03:49 PM
>                                                                         |
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
> |------------>
> | Subject:   |
> |------------>
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
>  |Re: [X10-users] Async Parallelism????
>                                                                         |
>
>  
> >--------------------------------------------------------------------------------------------------------------------------------------------------|
>
>
>
>
>
> I'm sorry but the previous mail was sent by mistake incomplete so heres my
> message:
>
> Dear List,
>
>
>     I have this very weird behavior going on, I'm just implementing this
> simple Matrix-Vector Multiplication program
> and I'm measuring the time consumed by my program, so heres my parallel
> code
> with asyncs :
> *
>       val n:int=1000;
>        val a= new Array[Int]([0..n,0..n],((i,j):Point)=>j);   //Matrix a 2
> dim
>        val b= new Array[Int]([0..n],((i):Point)=>i);           //Vector b
> 1
> dim
>        val result = new Array[Int]([0..n],((i):Point)=>0);   //Vector
> result 1 dim  result= ab
>
>        val h = new Hello();
>        val begin:Long = Timer.nanoTime();
>
>         finish
>         {
>        for((i,j):Point in a.region)
>            {
>                 async
>                 {
>                    val value:int;
>                    finish
>                        value= h.computeMult(a,b,i,j);      //this is just
> a
> method that calculates the multiplication of each matrix row element with
> the
>                                                                         //
> corresponding vector column element
>                        atomic  result(i)+=value;              // atomic
> sum
> up of the corresponding result element
>                  }
>            }
>        }
>
>        val end:Long = Timer.nanoTime();*
>
>
> So as you can see the size of the matrix and the vector is 1000, the
> execution time with "async, finish, atomic" (works in one place but
> multi-activities) is *11.872344* sec where as if it worked sequentially (by
> removing all "async", "finish", "atomic") it gives a better result which is
> *2.39275* secs, and ofcourse as I increase the size of the dimensions it
> goes worse. I'm working on a dual core machine.
>
> How is this possible? please advise.
>
> On Mon, Jul 5, 2010 at 5:15 AM, mohammed elsaeedy <
> mohammed.elsae...@kaust.edu.sa> wrote:
>
> > Dear List,
> >
> >
> >      I have this very weird behavior going on, I'm just implementing this
> > simple Matrix-Vector Multiplication program
> > and I'm measuring the time consumed by my program, so heres my parallel
> > code with asyncs :
> > *
> > val n:int=1000;
> >         // 2
> >         val a= new Array[Int]([0..n,0..n],((i,j):Point)=>j);
> >         val b= new Array[Int]([0..n],((i):Point)=>i);
> >         val result = new Array[Int]([0..n],((i):Point)=>0);
> >
> >         val h = new Hello();
> >         val begin:Long = Timer.nanoTime();
> >
> >          finish
> >          {
> >         for((i,j):Point in a.region)
> >             {
> >                  async
> >                  {
> >                     val value:int;
> >                     finish
> >                         value= h.computeMult(a,b,i,j);      //this is
> just
> > a method that calculates
> >                 atomic  result(i)+=value;
> >                   }
> >             }
> >         }
> >
> >         val end:Long = Timer.nanoTime();*
> >
> > --
> > Thank you for your concern.
> > Regards,
> > Mohammed El Sayed
> >
>
>
>
> --
> Thank you for your concern.
> Regards,
> Mohammed El Sayed
>
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-- 
Thank you for your concern.
Regards,
Mohammed El Sayed
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