HLS_Benchmarks_First_Release

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.