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检索条件"任意字段=2018 4th Workshop on Programming Models for SIMD/Vector Processing, WPMVP 2018"

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wpmvp 2018 - Proceedings of the 2018 4th workshop on programming models for simd/vector processing, Co-located with PPoPP 2018

WPMVP 2018 - Proceedings of the 2018 4th Workshop on Program...

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2018 4th workshop on programming models for simd/vector processing, wpmvp 2018

ISBN: (纸本)9781450356466

the proceedings contain 8 papers. the topics discussed include: MIPP: a portable C++ simdWrapper and its use for error correction coding in 5G standard;small simd matrices for CERN high throughput computing;simdization of small tensor multiplication kernels for wide simd vector processors;Usuba optimizing & trustworthy bitslicing compiler;investigating automatic vectorization for real-time 3D scene understanding;Ikra-Cpp: a C++/CUDA DSL for object-oriented programming with structure-of-arrays layout;a data layout transformation for vectorizing compilers;and vectorization of a spectral finite-element numerical kernel.

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wpmvp 2019 - Proceedings of the 2019 5th workshop on programming models for simd/vector processing, co-located with PPoPP 2019

WPMVP 2019 - Proceedings of the 2019 5th Workshop on Program...

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5th workshop on programming models for simd/vector processing, wpmvp 2019, co-located with PPoPP 2019

ISBN: (纸本)9781450356466

the proceedings contain 4 papers. the topics discussed include: compiling efficiently with arithmetic emulation for the custom-width connex vector processor;automatic vectorization of stencil codes with the GGDML language extensions;multi-dimensional vectorization in LLVM;and designing efficient simd algorithms for direct connected component labeling.

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Ikra-Cpp: A C++/CUDA DSL for Object-Oriented programming with Structure-of-Arrays Layout 4

Ikra-Cpp: A C++/CUDA DSL for Object-Oriented Programming wit...

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2018 4th workshop on programming models for simd/vector processing, wpmvp 2018

作者： Springer, Matthias Masuhara, Hidehiko Tokyo Institute of Technology Japan

ISBN: (纸本)9781450356466

Structure of Arrays (SOA) is a well-studied data layout technique for simd architectures. Previous work has shown that it can speed up applications in high-performance computing by several factors compared to a traditional Array of Structures (AOS) layout. However, most programmers are used to AOS-style programming, which is more readable and easier to maintain. We present Ikra-Cpp, an embedded DSL for object-oriented programming in C++/CUDA. Ikra-Cpp’s notation is very close to standard AOS-style C++ code, but data is layed out as SOA. this gives programmers the performance benefit of SOA and the expressiveness of AOS-style object-oriented programming at the same time. Ikra-Cpp is well integrated with C++ and lets programmers use C++ notation and syntax for classes, fields, member functions, constructors and instance creation. © 2018 Copyright held by the owner/author(s).

关键词： Object oriented programming

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Usuba optimizing & trustworthy bitslicing compiler 4

Usuba optimizing & trustworthy bitslicing compiler

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2018 4th workshop on programming models for simd/vector processing, wpmvp 2018

作者： Mercadier, Darius Dagand, Pierre-Évariste Lacassagne, Lionel Muller, Gilles Sorbonne Université CNRS Inria LIP6 ParisF-75005 France

ISBN: (纸本)9781450356466

Bitslicing is a programming technique commonly used in cryptography that consists in implementing a combinational circuit in software. It results in a massively parallel program immune to cache-timing attacks by design. However, writing a program in bitsliced form requires extreme minutia. this paper introduces Usuba, a synchronous dataflow language producing bitsliced C code. Usuba is both a domain-specific language – providing syntactic support for the implementation of cryptographic algorithms – as well as a domain-specific compiler – taking advantage of well-defined semantics invariants to perform various optimizations before handing the generated code to an (optimizing) C compiler. On the Data Encryption Standard (DES) algorithm, we show that Usuba outperforms a reference, hand-tuned implementation by 15% (using Intel’s 64 bits general-purpose registers and depending on the underlying C compiler) whilst our implementation also transparently supports modern simd extensions (SSE, AVX, AVX-512), other architectures (ARM Neon, IBM Altivec) as well as multicore processors through an OpenMP backend. © 2018 Copyright held by the owner/author(s).

关键词： C (programming language)

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