AVX2

Abaqus/Standard Performance Case Study on Intel® Xeon® E5-2600 v3 Product Family

Background

The whole point of simulation is to model the behavior of a design and potential changes against various conditions to determine whether we are getting an expected response; and simulation in software is far cheaper than building hardware and performing a physical simulation and modifying the hardware model each time.

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  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
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  • server
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  • AVX2
  • Xeon
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  • parallel computing
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  • Vector programming. SSE4.2 to AVX2 conversion examples.

    In this blog I’ll try to show how to convert SSE4.2 assembly to AVX2 (using the schemes from the blog Programming using AVX2) and how this affects performance.

    • Easy case. When it is enough to add “v” prefix and replace “xmm” with “ymm”.

    Consider we have the following loop:

    Programming using AVX2. Permutations.

    As we all know AVX2 has extended (256 bit) comparing to SSE4.2 (128 bit) vector length. For basic instructions like packed add, sub, mul… this leads to ~2 times performance advantage (as vector length is 2 times wider), but for some instructions performance gain is not so obvious. This blog is about such instructions, about permutations.

    Briefly a set of AVX2 permutations are applied to high and low 128 bit parts separately. These instructions are: vpalignr, all vpack instructions, all vpunpck instructions and vpshufb instruction.

    How Intel® AVX2 Improves Performance on Server Applications

    The latest Intel® Xeon® processor E5 v3 family includes a feature called Intel® Advanced Vector Extensions 2 (Intel® AVX2), which can potentially improve application performance related to high performance computing, databases, and video processing. Here we will explain the context, and provide an example of how using Intel® AVX2 improved performance for a commonly known benchmark.

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  • High Performance Linpack
  • LINPACK Benchmark
  • Linpack
  • Entreprise
  • Informatique parallèle
  • Parallélisation
  • Vectorisation
  • Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

    Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits. Intel AVX brought 256-bits floating-point SIMD instructions, but it didn't include 256-bits integer SIMD instructions. Intel AVX2 allows you to operate with the AVX 256-bits wide YMM register for integer data types. In this post, I’ll explain how developers can speedup big data processing with the new 256-bits integer SIMD instructions.

    Processing Arrays of Bits with Intel® Advanced Vector Extensions 2 (Intel® AVX2)

    It is only a few weeks until you will get a chance to get your hands on the 4th Generation Intel® Core&tm; Processor Family formerly code-named Haswell. This architecture will come with some very nice features including Intel® Advanced Vector Extensions 2 (Intel® AVX2). Most notably, Intel®

    S’abonner à AVX2