Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing
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 recon...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Journal of Low Power Electronics and Applications |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9268/13/4/58 |
| _version_ | 1797380515096952832 |
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| author | Afolabi Ige Linhao Yang Hang Yang Jennifer Hasler Cong Hao |
| author_facet | Afolabi Ige Linhao Yang Hang Yang Jennifer Hasler Cong Hao |
| author_sort | Afolabi Ige |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T20:38:24Z |
| format | Article |
| id | doaj.art-eb1fb0b78b6c4ebd9b31b8e98a9873ae |
| institution | Directory Open Access Journal |
| issn | 2079-9268 |
| language | English |
| last_indexed | 2024-03-08T20:38:24Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Low Power Electronics and Applications |
| spelling | doaj.art-eb1fb0b78b6c4ebd9b31b8e98a9873ae2023-12-22T14:18:19ZengMDPI AGJournal of Low Power Electronics and Applications2079-92682023-10-011345810.3390/jlpea13040058Analog System High-Level Synthesis for Energy-Efficient Reconfigurable ComputingAfolabi Ige0Linhao Yang1Hang Yang2Jennifer Hasler3Cong Hao4Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332, USAElectrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332, USAElectrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332, USAElectrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332, USAElectrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA 30332, USAThe 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.https://www.mdpi.com/2079-9268/13/4/58analoganalog synthesis |
| spellingShingle | Afolabi Ige Linhao Yang Hang Yang Jennifer Hasler Cong Hao Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing Journal of Low Power Electronics and Applications analog analog synthesis |
| title | Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing |
| title_full | Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing |
| title_fullStr | Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing |
| title_full_unstemmed | Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing |
| title_short | Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing |
| title_sort | analog system high level synthesis for energy efficient reconfigurable computing |
| topic | analog analog synthesis |
| url | https://www.mdpi.com/2079-9268/13/4/58 |
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