Abstract is missing.
- Boost.SIMD: generic programming for portable SIMDizationPierre Esterie, Joel Falcou, Mathias Gaunard, Jean-Thierry Lapresté. 1-8 [doi]
- Simple, portable and fast SIMD intrinsic programming: generic simd libraryHaichuan Wang, Peng Wu, Ilie Gabriel Tanase, Mauricio J. Serrano, José E. Moreira. 9-16 [doi]
- Sierra: a SIMD extension for C++Roland Leißa, Immanuel Haffner, Sebastian Hack. 17-24 [doi]
- Writing scalable SIMD programs with ISPCJames C. Brodman, Dmitry Babokin, Ilia Filippov, Peng Tu. 25-32 [doi]
- OpenCL framework for ARM processors with NEON supportGangwon Jo, Won Jong Jeon, Wookeun Jung, Gordon Taft, Jaejin Lee. 33-40 [doi]
- Vector seeker: a tool for finding vector potentialG. Carl Evans, Seth Abraham, Bob Kuhn, David A. Padua. 41-48 [doi]
- High level transforms for SIMD and low-level computer vision algorithmsLionel Lacassagne, Daniel Etiemble, Ali Hassan Zahraee, Alain Dominguez, Pascal Vezolle. 49-56 [doi]
- Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi- and manycore chipsJohannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein. 57-64 [doi]
- SIMDizing pairwise sums: a summation algorithm balancing accuracy with throughputBarnaby Dalton, Amy Wang, Bob Blainey. 65-70 [doi]
- A SIMD programming model for dart, javascript, and other dynamically typed scripting languagesJohn McCutchan, Haitao Feng, Nicholas Matsakis, Zachary Anderson, Peter Jensen. 71-78 [doi]
- Exploring the vectorization of python constructs using pythran and boost SIMDSerge Guelton, Joël Falcou, Pierrick Brunet. 79-86 [doi]