Ups: Created page with "'''Effective Parallel Code Generation Through Auto-Sequentialisation''' by Sven-Bodo Scholz Creating parallel programs that make effective use of a range of parallel architectur..."

2012-06-20T11:00:40Z

Created page with "'''Effective Parallel Code Generation Through Auto-Sequentialisation''' by Sven-Bodo Scholz Creating parallel programs that make effective use of a range of parallel architectur..."

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'''Effective Parallel Code Generation Through Auto-Sequentialisation''' by Sven-Bodo Scholz

Creating parallel programs that make effective use of a range of parallel
architectures is hard. Even when a given algorithm offers a lot of
potential parallelism it is a challenge to identify which of these options
for parallelisation are the most suitable ones for a given target
architecture. In fact, it turns out that these choices are architecture
dependent.

Aiming for programmer productivity in a world of changing hardware options
we argue in favour of a generative approach: We suggest to start out from
rather abstract program specifications that expose as much potential
parallelism as possible. Such specification then can be used as input for a
program generator that produces parallel codes optimised for the particular
needs of a given hardware architecture.

In this talk, we briefly present the various challenges we have met when
generating parallel programs from the functional, data-parallel programming
language SaC. In particular we highlight the differences in our
observations when looking at a range of architectures as targets: SMPs,
GPUs, and experimental manycore architectures. We close with a first look
at the challenges when looking at FPGAs as accelerators.

WG211/M11Scholz - Revision history

Ups: Created page with "'''Effective Parallel Code Generation Through Auto-Sequentialisation''' by Sven-Bodo Scholz Creating parallel programs that make effective use of a range of parallel architectur..."