The main difficulty in using GPU is memory, not just memory
bandwidth, but also how to pipe data into GPU and fine tuning
block size so that memory reference can be localized within
each core. matrix multiplication is no exception.

Ср, 22 июн 2016, JGeneral написал(а):
> in my tessts with Arrayfire (bindings here: 
> https://github.com/Pascal-J/Jfire )
> 
> what I found annoying was the JIT compilation step.  I think Futhark does 
> away with this step, or at least provides a saveable version.
> 
> all recent Intel/AMD chips have decent built in GPUs with low latency.
> 
> Even on faster dedicated cards though, you can keep data/results there if 
> there is further processing to do.
> 
> things like martix multiplication and other similar tasks are 10x to 100x 
> faster (iirc) including the round trip back to cpu.
> 
> 
> 
> 
> ----- Original Message -----
> From: bill lam <[email protected]>
> To: 'Pascal Jasmin' via General <[email protected]>
> Sent: Tuesday, June 21, 2016 8:26 PM
> Subject: Re: [Jgeneral] GPU APL compiler work
> 
> INO benefit of using GPU for implementing APL (and J) primiivies
> is questionable. Most primitives are simple and the efficiency
> of APL/J comes the processing large arrays. The time needed to
> read/write GPU memory for large array is not justified
> unless the job is highly looped eg, encoding/decoding jpeg.
> 
> 
> Пн, 20 июн 2016, JGeneral написал(а):
> > Interesting recent projects,
> > 
> > TAIL - typed array intermediate language  
> > http://www.elsman.com/pdf/array14_final.pdf
> > 
> > uses structures very similar to J's internal noun format.  (all of the 
> > items are the same anyway, though it perhaps only has int and double data 
> > types)
> > 
> > Semantics for core operations are similar to J (take with negative index 
> > takes from the end)
> > 
> > 
> > used with a SML apl to TAIL compiler
> > 
> > https://github.com/melsman/apltail/
> > 
> > A more interesting project is the Futhark language, and its leveraging of 
> > the above 2 projects to target GPUs, and extends datatypes to char, bool, 
> > tuples.
> > 
> > Futhark feels higher level and cleaner than TAIL.
> > 
> > 
> > spec paper: http://futhark-lang.org/publications/fhpc16.pdf
> > 
> > more general overview/benchmark/example site:
> > 
> > http://futhark-lang.org/index.html
> > 
> > pretty much every link there is interesting.
> > ----------------------------------------------------------------------
> > For information about J forums see http://www.jsoftware.com/forums.htm
> 
> -- 
> regards,
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