The University of Southampton
University of Southampton Institutional Repository

Advanced SIMD: extending the reach of contemporary SIMD architectures

Advanced SIMD: extending the reach of contemporary SIMD architectures
Advanced SIMD: extending the reach of contemporary SIMD architectures
SIMD extensions have gained widespread acceptance in modern microprocessors as a way to exploit data-level parallelism in general-purpose cores. Popular SIMD architectures (e.g. Intel SSE/AVX) have evolved by adding support for wider registers and datapaths, and advanced features like indexed memory accesses, per-lane predication and inter-lane instructions, at the cost of additional silicon area and design complexity.
This paper evaluates the performance impact of such advanced features on a set of workloads considered hard to vectorize for traditional SIMD architectures. Their sensitivity to the most relevant design parameters (e.g. register/datapath width and L1 data cache configuration) is quantified and discussed.
We developed an ARMv7 NEON based ISA extension (ARGON), augmented a cycle accurate simulation framework for it, and derived a set of benchmarks from the Berkeley dwarfs. Our analyses demonstrate how ARGON can, depending on the structure of an algorithm, achieve speedups of 1.5x to 16x.
Boettcher, Matthias
d34d0210-df72-4f89-ad87-91d87a4f272a
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Eyole, Mbou
c954e758-34b7-4a65-995b-ec4f2a93ff42
Gabrielli, Giacomo
79e841c7-f0b2-48bb-81b0-9aba55fac63f
Reid, Alastair
6f778bae-124e-4299-b4f5-d024bdd487f0
Boettcher, Matthias
d34d0210-df72-4f89-ad87-91d87a4f272a
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Eyole, Mbou
c954e758-34b7-4a65-995b-ec4f2a93ff42
Gabrielli, Giacomo
79e841c7-f0b2-48bb-81b0-9aba55fac63f
Reid, Alastair
6f778bae-124e-4299-b4f5-d024bdd487f0

Boettcher, Matthias, Al-Hashimi, Bashir M., Eyole, Mbou, Gabrielli, Giacomo and Reid, Alastair (2014) Advanced SIMD: extending the reach of contemporary SIMD architectures. Design, Automation, and Test in Europe Conference, DATE2014, Dresden, Germany. 24 - 28 Mar 2014. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

SIMD extensions have gained widespread acceptance in modern microprocessors as a way to exploit data-level parallelism in general-purpose cores. Popular SIMD architectures (e.g. Intel SSE/AVX) have evolved by adding support for wider registers and datapaths, and advanced features like indexed memory accesses, per-lane predication and inter-lane instructions, at the cost of additional silicon area and design complexity.
This paper evaluates the performance impact of such advanced features on a set of workloads considered hard to vectorize for traditional SIMD architectures. Their sensitivity to the most relevant design parameters (e.g. register/datapath width and L1 data cache configuration) is quantified and discussed.
We developed an ARMv7 NEON based ISA extension (ARGON), augmented a cycle accurate simulation framework for it, and derived a set of benchmarks from the Berkeley dwarfs. Our analyses demonstrate how ARGON can, depending on the structure of an algorithm, achieve speedups of 1.5x to 16x.

Text
matthias-date14.pdf - Other
Download (696kB)

More information

Accepted/In Press date: March 2014
Venue - Dates: Design, Automation, and Test in Europe Conference, DATE2014, Dresden, Germany, 2014-03-24 - 2014-03-28
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 361119
URI: http://eprints.soton.ac.uk/id/eprint/361119
PURE UUID: 7dafbf15-727b-4ed6-8652-aab98dba6ff2

Catalogue record

Date deposited: 16 Jan 2014 11:04
Last modified: 01 Nov 2023 15:09

Export record

Contributors

Author: Matthias Boettcher
Author: Bashir M. Al-Hashimi
Author: Mbou Eyole
Author: Giacomo Gabrielli
Author: Alastair Reid

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×