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JianyiCheng/HLS-benchmarks: HLS_Benchmarks_First_Release

Jianyi Cheng


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{
  "description": "<p>First release of my HLS benchmarks. The benchmarks include:</p>\n\n<ul>\n\t<li><em>gSum</em> sums a number of polynomial results from the array elements that meet the given conditions where the difference between two elements from the arrays is non-negative.</li>\n\t<li><em>gSumIf</em> is similar to <em>gSum</em> but the SS function returns one of two polynomial expressions based on the value of the difference.</li>\n\t<li><em>sparseMatrixPower</em> performs dot product of two matrices, which skips the operation when the weight is zero.</li>\n\t<li><em>histogram</em> sums various weight onto the corresponding features but also in a sparse form.</li>\n\t<li><em>getTanh</em> performs the approximated function <em>tanh(x)</em> onto an array of integers using the CORDIC algorithm and a polynomial function.</li>\n\t<li><em>getTanh(double)</em> is similar to <em>getTanh</em> but uses an array of doubles.</li>\n\t<li><em>BNNKernel</em> is a small BNN kernel with LUT function as XOR.</li>\n</ul>", 
  "license": "https://opensource.org/licenses/GPL-2.0", 
  "creator": [
    {
      "affiliation": "Imperial College London", 
      "@type": "Person", 
      "name": "Jianyi Cheng"
    }
  ], 
  "url": "https://zenodo.org/record/3561115", 
  "codeRepository": "https://github.com/JianyiCheng/HLS-benchmarks/tree/v1.0", 
  "datePublished": "2019-12-03", 
  "version": "v1.0", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3561115", 
  "@id": "https://doi.org/10.5281/zenodo.3561115", 
  "@type": "SoftwareSourceCode", 
  "name": "JianyiCheng/HLS-benchmarks: HLS_Benchmarks_First_Release"
}
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