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Support for Data Parallelism in the CAL Actor Language

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Author

  • Essayas Gebrewahid
  • Mehmet Ali Arslan
  • Andreas Karlsson
  • Zain ul-Abdin

Summary, in English

With the arrival of heterogeneous manycores comprising various features to support task, data and instruction-level parallelism, developing applications that take full advantage of the hardware parallel features has become a major challenge. In this paper, we present an extension to our CAL compilation framework (CAL2Many) that supports data parallelism in the CAL Actor Language. Our compilation framework makes it possible to pro- gram architectures with SIMD support using high-level language and provides efficient code generation. We support general SIMD instructions but the code generation backend is currently implemented for two custom architectures, namely ePUMA and EIT. Our experiments were carried out for two custom SIMD processor architectures using two applications. The experiment shows the possibility of achieving performance comparable to hand-written machine code with much less programming effort.

Publishing year

2016-03

Language

English

Publication/Series

WPMVP 2016 - 3rd Workshop on Programming Models for SIMD/Vector Processing

Document type

Conference paper

Publisher

Association for Computing Machinery (ACM)

Topic

  • Computer Science

Keywords

  • SIMD
  • CAL Actor Language
  • QRD

Conference name

WPMVP 2016 - 3rd Workshop on Programming Models for SIMD/Vector Processing

Conference date

2016-03-13 - 2016-03-13

Conference place

Barcelona, Spain

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-1-4503-4060-1