Published December 3, 2019
| Version v1.0
Software
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JianyiCheng/HLS-benchmarks: HLS_Benchmarks_First_Release
Description
First release of my HLS benchmarks. The benchmarks include:
- gSum 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.
- gSumIf is similar to gSum but the SS function returns one of two polynomial expressions based on the value of the difference.
- sparseMatrixPower performs dot product of two matrices, which skips the operation when the weight is zero.
- histogram sums various weight onto the corresponding features but also in a sparse form.
- getTanh performs the approximated function tanh(x) onto an array of integers using the CORDIC algorithm and a polynomial function.
- getTanh(double) is similar to getTanh but uses an array of doubles.
- BNNKernel is a small BNN kernel with LUT function as XOR.
Files
JianyiCheng/HLS-benchmarks-v1.0.zip
Files
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Additional details
Related works
- Is supplement to
- https://github.com/JianyiCheng/HLS-benchmarks/tree/v1.0 (URL)