Software Open Access

# JianyiCheng/HLS-benchmarks: HLS_Benchmarks_First_Release

Jianyi Cheng

### Citation Style Language JSON Export

{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.3561115",
"title": "JianyiCheng/HLS-benchmarks: HLS_Benchmarks_First_Release",
"issued": {
"date-parts": [
[
2019,
12,
3
]
]
},
"abstract": "<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>",
"author": [
{
"family": "Jianyi Cheng"
}
],
"version": "v1.0",
"type": "article",
"id": "3561115"
}
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