| Autor: |
Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler, Cong Hao |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Low Power Electronics and Applications, Vol 13, Iss 4, p 58 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2079-9268 |
| DOI: |
10.3390/jlpea13040058 |
| Popis: |
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool flow from a high-level representation to a reconfigurable physical device. This tool begins with a high-level algorithmic description, utilizing either our custom Python framework or the XCOS GUI, to compile and optimize computations for integration into an Integrated Circuit (IC) design or a Field Programmable Analog Array (FPAA). An energy-efficient embedded speech classifier benchmark illustrates the tool demonstration, automatically generating GDSII layout or FPAA switch list targeting. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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