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ORCIDWPMVP@PPoPP 2014: Orlando, FL, USA
- Gabriel Tanase, Peng Wu, Joel Falcou:
Proceedings of the 2014 Workshop on Programming models for SIMD/Vector processing, WPMVP 2014, Orlando, Florida, USA, February 16, 2014. ACM 2014, ISBN 978-1-4503-2653-7
Programming models (I): intrinsics and vector extensions
- Pierre Estérie, Joel Falcou, Mathias Gaunard, Jean-Thierry Lapresté:
Boost.SIMD: generic programming for portable SIMDization. 1-8 - Haichuan Wang, Peng Wu, Ilie Gabriel Tanase, Mauricio J. Serrano, José E. Moreira:
Simple, portable and fast SIMD intrinsic programming: generic simd library. 9-16 - Roland Leißa
, Immanuel Haffner, Sebastian Hack:
Sierra: a SIMD extension for C++. 17-24
Programming models (II): SPMD-on-SIMD, vector extensions, and profiling tools
- James C. Brodman, Dmitry Babokin, Ilia Filippov, Peng Tu:
Writing scalable SIMD programs with ISPC. 25-32 - Gangwon Jo, Won Jong Jeon, Wookeun Jung, Gordon Taft, Jaejin Lee:
OpenCL framework for ARM processors with NEON support. 33-40 - G. Carl Evans, Seth Abraham, Bob Kuhn, David A. Padua:
Vector seeker: a tool for finding vector potential. 41-48
SIMD users' perspectives
- Lionel Lacassagne, Daniel Etiemble, Ali Hassan Zahraee, Alain Dominguez, Pascal Vezolle:
High level transforms for SIMD and low-level computer vision algorithms. 49-56 - Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein:
Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi- and manycore chips. 57-64 - Barnaby Dalton, Amy Wang, Bob Blainey:
SIMDizing pairwise sums: a summation algorithm balancing accuracy with throughput. 65-70
SIMD for dynamic languages
- John McCutchan, Haitao Feng, Nicholas D. Matsakis, Zachary Anderson, Peter Jensen:
A SIMD programming model for dart, javascript, and other dynamically typed scripting languages. 71-78 - Serge Guelton, Joël Falcou, Pierrick Brunet:
Exploring the vectorization of python constructs using pythran and boost SIMD. 79-86
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