Two AxC techniques have been successfully applied to hardware components. The first one is the functional approximation [1]that modifies the circuit structure replacing the original function F with the function G. G implementation leads to area/energy reduction at the cost of reduced accuracy, meaning that some errors can be observed at the outputs of G. The observed errors are a variation between the output values of F (precise) and G (approximate). The variation is the accuracy loss measured by means of quality metric(s) [1]. The second AxC technique is the over-scaling based approximation. Basically, the HW component is forced to work outside its specified operating conditions [1]. The classical example is the reduction of the supply voltage under the minimum value.
Special session: How Approximate Computing Impacts Verification, Test and Reliability / Sekanina, L., Vasicek, Z., Bosio, A., Traiola, M., Rech, P., Oliveria, D., Fernandes, F., Di Carlo, S.. - (2018), pp. 1-1. (36th IEEE VLSI Test Symposium, VTS 2018 San Francisco, CA, USA 22-25 April 2018) [10.1109/VTS.2018.8368628].
Special session: How Approximate Computing Impacts Verification, Test and Reliability
Bosio A.;Rech P.;
2018-01-01
Abstract
Two AxC techniques have been successfully applied to hardware components. The first one is the functional approximation [1]that modifies the circuit structure replacing the original function F with the function G. G implementation leads to area/energy reduction at the cost of reduced accuracy, meaning that some errors can be observed at the outputs of G. The observed errors are a variation between the output values of F (precise) and G (approximate). The variation is the accuracy loss measured by means of quality metric(s) [1]. The second AxC technique is the over-scaling based approximation. Basically, the HW component is forced to work outside its specified operating conditions [1]. The classical example is the reduction of the supply voltage under the minimum value.| File | Dimensione | Formato | |
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