Years ago when I first encountered APL, and now J, I was amazed at the the
drastic difference on how problems were approached from how programming had
been done then and is still being done today. So much in this article seems
to be re-discovering what we have been doing for 50 years.

The primitives in J make programs written in the past magically upgrade to
vector and parallel processing with no changes simply by the J developers
extending the J engine to use them. We are seeing a start of that with the
current beta version of J utilizing the vector facilities recently added to
recent processors.

On Fri, Jun 16, 2017 at 5:57 PM, Raul Miller <[email protected]> wrote:

> An issue here, as with any "big data" or "machine based learning"
> context is establishing the "noise floor" - or deciding when you have
> gotten the useful features and are now starting to get into the
> irrelevant stuff.
>
> --
> Raul
>
>
> On Fri, Jun 16, 2017 at 7:14 PM, Skip Cave <[email protected]>
> wrote:
> > Code Modernization: Bringing Codes Into the Parallel Age
> > HPCwire
> > Doug Black
> > June 8, 2017
> >
> > Application code must keep up with processor advancements as parallel
> > computing gains traction, which Intel's Joe Curley says his company is
> > doing by parallelizing public codes for the newest x86 central-processing
> > unit generations. In an interview, Curley says the Intel Parallel
> Computing
> > Centers produce output that software developers and academics can apply
> to
> > teach people cutting-edge code modernization. "We focus efforts on open
> > source communities and open source codes...to improve the understanding
> of
> > how to program in parallel and how to solve problems," Curley says. He
> > notes the inclusion of artificial intelligence and machine-learning
> methods
> > are a recent code modernization development, which when properly
> > implemented can exponentially boost performance. Curley also says most
> > projects in this space concentrate on challenging algorithms via
> > parallelization to "achieve massive increases in performance." Among the
> > efforts encompassed by Intel's initiative are applications used by
> > manufacturers in product design, and advanced imaging diagnostics
> employed
> > by the medical industry.
> >
> > Full Article:  https://goo.gl/jdxLuA <https://goo.gl/jdxLuA>
> >
> >
> > Skip Cave
> > Cave Consulting LLC
> > ----------------------------------------------------------------------
> > For information about J forums see http://www.jsoftware.com/forums.htm
> ----------------------------------------------------------------------
> For information about J forums see http://www.jsoftware.com/forums.htm
>
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