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Call for Papers

SIMD processing is still a main driver of performance in general-purpose processor architectures besides multi-core technology. Both technologies increase the potential performance by factors, but have to be explicitly utilized by the software. To expose those different levels of parallelism in a productive and manageable way is still an active area of research. NVIDIA stirred the programming interface scene with the development of a simple yet efficient performance-oriented application programmer interface. OpenACC, OpenMP 4.0, OpenCL, Cilk+ and icpc are just examples for many choices available. Additionally, established optimizing compilers still improve significantly in unleashing the SIMD potential. Notable developments on the hardware side include relaxation of alignment requirements and more powerful scatter/gather and shuffle instructions. Recent developments include the introduction of 512-bit SIMD units in general purpose processors (AVX512) and new innovations as the Scalable Vector Extension (SVE) for the ARMv8-A architecture or the NEC SX Aurora TSUBASA vector processors.

Scope

The purpose of this workshop is to bring together practitioners and researchers from academia and industry to discuss issues, solutions, and opportunities in enabling application developers to effectively exploit SIMD/vector processing in modern processors. We seek submissions that cover all aspects of SIMD/vector processing. Topics of interests include, but are not restricted to:

  • Programming models for SIMD/vector processing
  • C/C++/Fortran extensions for SIMD (e.g., OpenMP, OpenACC, OpenCL, SIMD intrinsics)
  • New data parallel or streaming programming models for SIMD
  • Exploitation of SIMD/vector in Java, scripting languages, and domain-specific languages
  • Compilers & tools to discover and optimize SIMD parallelism
  • Case study, experience report, and performance analysis of SIMD/vector applications
  • Design of algorithms specially suited to SIMD/vector architecture

Submission Link

Submitted papers must be no more than 8 pages in length. Authors are encouraged to use the ACM two-column format here. Each submission will receive at least three reviews from the technical program committee. The workshop uses double-blind review, which means that author identities are concealed.

Authors must register and submit the paper through the Easychair online submission system, if you have problems accessing the system, e-mail to wpmvp@lip6.fr.

Keynotes

TBA

Organisers:

  • Jan Eitzinger (RRZE, University Erlangen-Nuremberg, Germany)
  • Sylvain Jubertie (LIFO, University of Orleans, France)
  • Lionel Lacassagne (LIP6, Sorbonne University, France)
  • Bertrand Le Gal (IMS Lab, Institut Polytechnique of Bordeaux, France)
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Talk
Welcome Talk
WPMVP
Lionel Lacassagne Sorbonne University — LIP6
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Talk
SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations
WPMVP
Régis Pierrard CEA, Laurent Cabaret CentraleSupélec, Jean-Philippe Poli CentraleSupélec, Céline Hudelot CentraleSupélec
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Talk
Open Discussion
WPMVP
Lionel Lacassagne Sorbonne University — LIP6
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Talk
How to speed Connected Component Labeling up with SIMD RLE algorithms
WPMVP
Florian Lemaitre Sorbonne University — LIP6, Arthur Hennequin LIP6 Sorbonne University + CERN, Lionel Lacassagne Sorbonne University — LIP6
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Talk
Scheduling Irregular Data ow Pipelines on SIMD Architectures Abstratc
WPMVP
Thomas Plano Washington University in St. Louis, Jeremy Buhler Washington University in St.Louis

TBD

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