The EvoApproxLibLITE is the lightweight version of our library of approximate circuits with formally guaranteed error parameters. Hardware as well as software models are provided for each circuit.

Circuit name MAE WCE MRE EP power area Download model
add8u_0FP [1] 0.00 % 0.00 % 0.00 % 0.00 % 0.033 70.4 Verilog fileC fileMatlab MEXPython PYX
add8u_5R3 [2] 0.039 % 0.20 % 0.14 % 25.00 % 0.029 63.8 Verilog PDK45Verilog fileC fileMatlab MEXPython PYX
add8u_5QL [2] 0.16 % 0.59 % 0.40 % 43.75 % 0.024 57.3 Verilog PDK45Verilog fileC fileMatlab MEXPython PYX
add8u_5LT [2] 0.33 % 1.37 % 0.91 % 71.88 % 0.021 56.3 Verilog PDK45Verilog fileC fileMatlab MEXPython PYX
add8u_5HQ [2] 0.68 % 2.93 % 1.80 % 85.74 % 0.017 53.0 Verilog PDK45Verilog fileC fileMatlab MEXPython PYX
add8u_5SY [2] 1.05 % 3.12 % 2.93 % 94.14 % 0.012 28.2 Verilog PDK45Verilog fileC fileMatlab MEXPython PYX
add8u_099 2.03 % 6.64 % 6.23 % 97.07 % 0.0095 25.8 Verilog fileC fileMatlab MEXPython PYX
add8u_006 4.92 % 17.97 % 14.58 % 98.77 % 0.0046 15.0 Verilog fileC fileMatlab MEXPython PYX
add8u_08V 9.88 % 30.47 % 24.87 % 99.45 % 0.0015 8.0 Verilog fileC fileMatlab MEXPython PYX
add8u_063 15.29 % 47.66 % 37.63 % 99.61 % 0.000 0.0 Verilog fileC fileMatlab MEXPython PYX

Reported error parameters: MAE - Mean Absolute Error (Mean Error Magnitude), WCE - Worst-Case Absolute Error (Error Magnitude / Error Significance), MSE - Mean Squared Error, MRE - Mean Relative Error (Mean Relative Error Distance), WCRE - Worst-Case Relative Error, EP - Error Probability (Error Rate)  |  Reported design parameters: power - power consumption in mW, area - area on the chip in um2, dly - delay, all values obtained using Synopsys DC (45 nm PDK, 1 V, 25 ℃)  |  Error parameters marked by were verified using a formal technique analyzing all possible input combinations. There is a formal guarantee that the error is not worse than the shown value. The exact values are included at the beginning of each C file and Verilog file.

COMPARISON

Comparison with the complete EvoApproxLib dataset on various metrics. The first plot shows the performance wrt. the parameters used for pareto filtration. The black dots are the circuits included in this dataset. The blue dots are parameters of the circuits included in the full version of EvoApproxLib. Note that the parameters of the accurate implementation shown in the figure correspond with those exhibiting the lowest power consumption.

REFERENCES
  1. V. Mrazek, Z. Vasicek and R. Hrbacek, Role of circuit representation in evolutionary design of energy-efficient approximate circuits in IET Computers & Digital Techniques, vol. 12, no. 4, pp. 139-149, 7 2018.
  2. V. Mrazek, R. Hrbacek, Z. Vasicek and L. Sekanina, EvoApprox8b: Library of approximate adders and multipliers for circuit design and benchmarking of approximation methods. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, Lausanne, 2017, pp. 258-261.