At Play with J #3 (The 10,000,000th Prime Number)
is an example of an application that benefited greatly
from multiple processors.

http://www.jsoftware.com/jwiki/Doc/Articles/Play104



----- Original Message -----
From: David Mitchell <[email protected]>
Date: Tuesday, February 16, 2010 3:44
Subject: Re: [Jchat] [Jgeneral] Upgrade to a quad core
To: Chat forum <[email protected]>

> I agree with Devon, that analysis is essential when discussing 
> performance 
> issues.  Here are three examples where analysis (or the 
> lack of it) was critical.
> 
> 1.  When floating point vector processors were first made 
> available for the IBM 
> system running APL that I supported, there was immediate clamor 
> for acquiring 
> one for APL.  The assumption was that, as a vector oriented 
> language, it should 
> immediately benefit all APL programs and show significant 
> performance 
> improvement with minimal or no work in reprogramming at the 
> application level.
> 
> Interest remained strong until an analysis showed that the time 
> spent using 
> floating point at all was 5% or less for the APL applications we 
> were running. 
> Even if the vector processor reduced the floating point 
> processing time to zero, 
> the benefits would be practically unnoticeable.
> 
> 2.  As server-based systems became all the rage, there were 
> more proposals to 
> move applications off the mainframe systems to servers.  
> One of these proposals 
> had an interesting result.  The team that proposed this 
> server-based APL 
> migration had not bothered with any performance analysis.  
> To them, it was 
> obvious that any server implementation must inherently be better 
> than any 
> mainframe implementation.
> 
> The migration was done to woefully underpowered server hardware 
> and failed 
> completely, due to impossibly slow performance.
> 
> 3.  One application programmer came to me with CPU-
> intensive APL code that ran 
> weekly and was not completing by the required time.
> 
> I reviewed the code.  It was a solid program, coded with 
> the finest COBOL-like 
> scalar techniques.  I spent a hour or so unrolling the 
> loops, matricizing the 
> code and validating the results.  The final APL program ran 
> in 1-2% of the time 
> of the original, with exactly the same output.
> --
> David Mitchell
> 
> On 2/15/2010 13:49, Devon McCormick wrote:
> > Raul - yes - there's always been a lot of hand-waving magic 
> about the
> > benefits of parallel processing but many a pretty ship of 
> theory has
> > foundered on the cold hard rocks of fact.  Until you 
> consider a specific
> > problem and do the work, you can't make any claims about the 
> benefits.>
> > In fact, it's easy to offer a "dis-proof of concept": parallelize
> >
> >     1 2+3 4
> >
> > I bet any parallel version of this will lose to the non-
> parallel version -
> > there's no way the overhead cost of breaking up and re-
> assembling the
> > results of this small piece of work is less than simply doing it.
> >
> > We talked about this at the last NYCJUG and I'm glad to see 
> it's still a
> > pressing topic as this will motivate me to update the wiki for 
> February's> meeting.
> >
> > Regards,
> >
> > Devon
> >
> > On Mon, Feb 15, 2010 at 12:33 PM, Raul 
> Miller<[email protected]>  wrote:
> >
> >> On Mon, Feb 15, 2010 at 11:00 AM, bill 
> lam<[email protected]>  wrote:
> >>> Apart from the startup time and memory cost, the biggest 
> problems are
> >>> the need to tailor the algorithm by programmer for each for its
> >>> applications, synchronisation of sessions, the memory 
> bandwidth it
> >>> took to transfer data between session. OTOH the low level 
> solution is
> >>> transparent, J programmers will not even need to aware its 
> existence.>>> Henry Rich had also suggested this approach if 
> memory served me.
> >>
> >> One problem with the low level approach seems to be that, so
> >> far, no one wants to fund the investigative costs associated with
> >> this change.
> >>
> >> To my knowledge no one has even shown a "proof of concept"
> >> implementation for any primitive.
> >>
> >> --
> >> Raul
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