[erlang-questions] Parallel Shootout & a style question
Mats Cronqvist
mats.cronqvist@REDACTED
Thu Sep 4 14:13:46 CEST 2008
Gleb Peregud wrote:
>
> Sorry if I'm talking truisms, just ignore the message in this case :)
>
"truism" was a bit snide. sorry.
anyway, i feel a bit frustrated by my inability to formulate my point
of view clearly. so i'll just quote some random guy off the internets;
David Padua, University of Illinois at Urbana-Champaign
With the coming of age of multiprocessors, program performance and
efficiency has become more important and difficult to achieve.
Furthermore, the applications of today must also be scalable so that
they can make effective use of the additional parallelism introduced by
newer generations of machines. To achieve strong and scalable
performance, programmers must do all the work traditionally required for
sequential tuning and in addition address the complex optimization
issues introduced by parallelism. This difficulty is likely to increase
even further if, as it is expected, multicores become heterogeneous or
their overall organization changes significanly over time. However, even
assuming homogeneous and stable organizations, programmer productivity
is bound to suffer due to the initial cost of tuning for multiprocessors
and the need for adaptation as the number of processors increase.
In this talk, I will discuss future directions for programming language
design, compiler technology, and the emerging autotuning strategies in
the context of parallel programming. I will argue that advances in
languages, compilers, and autotuning techniques will be necessary to
recover the ground in productivity that has been lost with the advent of
multicores. I will also argue that these tree components of a
programming environment must be designed jointly to facilitate program
tuning. The ultimate goal is for tuning to be accomplished without
requiring the programmer to be concerned with the details of the target
machine. It is expected that languages, compilers and autotuning
techniques will evolve into a methodology that will dramatically reduce
and perhaps eliminate in some cases the cost of porting programs across
machine generations and machine classes. The availability of such
methodology should not only help programmer productivity but also give
machine designers more freedom to innovate.
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