3 papers
eess.SP2020
Machine Learning-Based Self-Compensating Approximate Computing
Mahmoud Masadeh, Osman Hasan, Sofiene Tahar
Dedicated hardware accelerators are suitable for parallel computational tasks. Moreover, they have the tendency to accept inexact results. These hardware accelerators are extensive…
cs.ET2019
Error Analysis of Approximate Array Multipliers
Mahmoud Masadeh, Osman Hasan, Sofiene Tahar
Approximate computing is a nascent energy-efficient computing paradigm suitable for error-tolerant applications. However, the value of approximation error depends on the applied in…
cs.ET2018
Comparative Study of Approximate Multipliers
Mahmoud Masadeh, Osman Hasan, Sofiene Tahar
Approximate multipliers are widely being advocated for energy-efficient computing in applications that exhibit an inherent tolerance to inaccuracy. However, the inclusion of accura…