Approximate arithmetic units under voltage under-scaling
Increasingly power hungry processors and the identification of error tolerant applications have made approximate computing techniques one of the researching scopes of the present. The main objective of this work is to study and assess the benefits of certain approximate arithmetic units for their in...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/344137 |
| Acceso en línea: | https://hdl.handle.net/2117/344137 |
| Access Level: | acceso abierto |
| Palabra clave: | Electronics Arithmetic Approximate arithmetic adders multipliers synthesis digital design integrated circuits electronic engineering Electrònica Aritmètica Àrees temàtiques de la UPC::Enginyeria electrònica |
| Sumario: | Increasingly power hungry processors and the identification of error tolerant applications have made approximate computing techniques one of the researching scopes of the present. The main objective of this work is to study and assess the benefits of certain approximate arithmetic units for their inclusion in the DRAC project?s approximate accelerator. In order to accomplish this objective, different approximate and accurate adders and multipliers are implemented in Verilog, synthesized and simulated using Cadence tools and finally compar- ed between them to evaluate whether they offer any benefits or not. Simulations are performed for both Overclocking and Voltage Underscaling conditions. The results indicated that some of the approximate adders show very competitive precision values at overclocking simulations for 400 ps, with slightly better power results, and other adders also presented very encouraging results for voltage overscaling simulations, offering higher precision values than the accurate adders for 0.4V. In contrary, the multipliers exhibited worse results than the accurate ones in every aspects for the realistic case dataset provided by the SW team. |
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