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  1. Proceedings of the 2014 Workshop on Programming models for SIMD/Vector processing (WPMVP '14)
  2. Writing scalable SIMD programs with ISPC
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Boost.SIMD: generic programming for portable SIMDization
Writing scalable SIMD programs with ISPC
High level transforms for SIMD and low-level computer vision algorithms
A SIMD programming model for dart, javascript,and other dynamically typed scripting languages
Simple, portable and fast SIMD intrinsic programming: generic simd library
OpenCL framework for ARM processors with NEON support
Comparing the performance of different x86 SIMD instruction sets for a medical imaging application on modern multi- and manycore chips
Exploring the vectorization of python constructs using pythran and boost SIMD
Sierra: a SIMD extension for C++
Vector seeker: a tool for finding vector potential
SIMDizing pairwise sums: a summation algorithm balancing accuracy with throughput

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Writing scalable SIMD programs with ISPC

Content Provider ACM Digital Library
Author Filippov, Ilia Tu, Peng Brodman, James Babokin, Dmitry
Abstract Modern processors contain many resources for parallel execution. In addition to having multiple cores, processors can also contain vector functional units that are capable of performing a single operation on multiple inputs in parallel. Taking advantage of this vector hardware is essential to obtaining peak performance on a machine, but it is often challenging for programmers to do so. This paper presents a performance study of compiling several benchmarks from the domains of computer graphics, financial modeling, and high-performance computing for different vector instruction sets using the Intel SPMD Program Compiler, an alternative to compiler autovectorization of scalar code or handwriting vector code with intrinsics. ispc is both a language and compiler that produces high quality code for SIMD CPU vector extensions such as Intel Streaming SIMD Extensions (SSE), Intel Advanced Vector Extensions (AVX), or ARM NEON. We present the results of compiling the same ispc source program for various targets. The performance of the resulting ispc versions is compared to that of scalar C++ code, and we also examine the scalability of the benchmarks when targeting wider vector units.
Starting Page 25
Ending Page 32
Page Count 8
File Format PDF
ISBN 9781450326537
DOI 10.1145/2568058.2568065
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-02-16
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Spmd Parallel programming Simd Cpus
Content Type Text
Resource Type Article
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