Designing Approximate Arithmetic Circuits with Combined Error Constraints
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU144828" target="_blank" >RIV/00216305:26230/22:PU144828 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/DSD57027.2022.00110" target="_blank" >http://dx.doi.org/10.1109/DSD57027.2022.00110</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/DSD57027.2022.00110" target="_blank" >10.1109/DSD57027.2022.00110</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Designing Approximate Arithmetic Circuits with Combined Error Constraints
Popis výsledku v původním jazyce
Approximate circuits trading the power consumption for the quality of results play a key role in the development of energy-aware systems. Designing complex approximate circuits is, however, a very difficult and computationally demanding process. When deploying approximate circuits, various error metrics (e.g., mean average error, worst-case error, error rate), as well as other constraints (e.g., correct multiplication by~0), have to be considered. The state-of-the-art approximation methods typically focus on a single metric which significantly limits the applicability of the resulting circuits. In this paper, we experimentally investigate how various error metrics and their combinations affect the reduction of the power consumption that can be achieved. To this end, we extend evolutionary-driven techniques that allow us to effectively explore the design space of the approximate circuits. We identify principal limitations when complex error constraints are required as well as important correlations among the error metrics enabling the construction of circuits providing the best-known trade-offs between the power reduction and combined error constraints.
Název v anglickém jazyce
Designing Approximate Arithmetic Circuits with Combined Error Constraints
Popis výsledku anglicky
Approximate circuits trading the power consumption for the quality of results play a key role in the development of energy-aware systems. Designing complex approximate circuits is, however, a very difficult and computationally demanding process. When deploying approximate circuits, various error metrics (e.g., mean average error, worst-case error, error rate), as well as other constraints (e.g., correct multiplication by~0), have to be considered. The state-of-the-art approximation methods typically focus on a single metric which significantly limits the applicability of the resulting circuits. In this paper, we experimentally investigate how various error metrics and their combinations affect the reduction of the power consumption that can be achieved. To this end, we extend evolutionary-driven techniques that allow us to effectively explore the design space of the approximate circuits. We identify principal limitations when complex error constraints are required as well as important correlations among the error metrics enabling the construction of circuits providing the best-known trade-offs between the power reduction and combined error constraints.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GJ20-02328Y" target="_blank" >GJ20-02328Y: CAQtuS: Počítačem podporovaná kvantitativní syntéza</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceeding of 25th Euromicro Conference on Digital System Design 2022 (DSD'22)
ISBN
978-1-6654-7404-7
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
785-792
Název nakladatele
Institute of Electrical and Electronics Engineers
Místo vydání
Gran Canaria
Místo konání akce
Maspalomas, Gran Canaria, Spain
Datum konání akce
31. 8. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—