Notable design patterns for domain-specific languages
Journal of Systems and Software
Generative Programming and Active Libraries
Selected Papers from the International Seminar on Generic Programming
Concepts: linguistic support for generic programming in C++
Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
Proto: a compiler construction toolkit for DSELs
LCSD '07 Proceedings of the 2007 Symposium on Library-Centric Software Design
Transactions on high-performance embedded architectures and compilers III
The performance analysis of ARM NEON technology for mobile platforms
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
Extending a C-like language for portable SIMD programming
Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming
A code generation approach for auto-vectorization in the SPADE compiler
LCPC'09 Proceedings of the 22nd international conference on Languages and Compilers for Parallel Computing
Vapor SIMD: Auto-vectorize once, run everywhere
CGO '11 Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization
Vc: A C++ library for explicit vectorization
Software—Practice & Experience
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SIMD extensions have been a feature of choice for processor manufacturers for a couple of decades. Designed to exploit data parallelism in applications at the instruction level, these extensions still require a high level of expertise or the use of potentially fragile compiler support or vendor-specific libraries. While a large fraction of their theoretical accelerations can be obtained using such tools, exploiting such hardware becomes tedious as soon as application portability across hardware is required. In this paper, we describe B OOST.SIMD, a C++ template library that simplifies the exploitation of SIMD hardware within a standard C++ programming model. BOOST.SIMD provides a portable way to vectorize computation on Altivec, SSE or AVX while providing a generic way to extend the set of supported functions and hardwares. We introduce a C++ standard compliant interface for the users which increases expressiveness by providing a high-level abstraction to handle SIMD operations, an extension-specific optimization pass and a set of SIMD aware standard compliant algorithms which allow to reuse classical C++ abstractions for SIMD computation. We assess BOOST.SIMD performance and applicability by providing an implementation of BLAS and image processing algorithms.