Generative Design of the Architecture Platform in Multiprocessor System Design
When designing a system at the Electronic System Level (ESL), designers are confronted with a very large number of design decisions, each affecting the characteristics of the resulting system. Simultaneously, the demands for the system’s performance, reliability, and energy consumption have increase...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-04-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/13/7/1404 |
| _version_ | 1797212698136543232 |
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| author | Luise Müller Nico Schumacher Lukas Steffen Christian Haubelt |
| author_facet | Luise Müller Nico Schumacher Lukas Steffen Christian Haubelt |
| author_sort | Luise Müller |
| collection | DOAJ |
| description | When designing a system at the Electronic System Level (ESL), designers are confronted with a very large number of design decisions, each affecting the characteristics of the resulting system. Simultaneously, the demands for the system’s performance, reliability, and energy consumption have increased drastically. Design Space Exploration (DSE) aims to facilitate this complex task by automating the system synthesis and traversing the design space autonomously. Previous studies on DSE have mainly considered fixed architectures with a fixed set of hardware components only. In the paper at hand, we overcome this limitation to allow for a higher degree of freedom in the design of a multiprocessor system. Instead of a fixed architecture as input, we are using a resource library containing resource types whose instances can then be arbitrarily placed and connected. More specifically, we enable the exploration of the types, the number, and the positions of required processing-type instances in a grid-based topology template in addition to deciding on the remaining system synthesis tasks, namely, resource allocation, task binding, routing, and scheduling. We provide an extensible framework, based on Answer Set Programming (ASP) modulo Theories (ASPmT), for generating system architectures fulfilling predefined constraints. Our studies show that this higher degree of freedom, originating from fewer restrictions regarding the architecture, leads to an increased complexity of the problem. In extensive experiments, we show scalability trends for a set of parameters, demonstrating the capabilities and limits of our approach. |
| first_indexed | 2024-04-24T10:46:31Z |
| format | Article |
| id | doaj.art-4d3ba41f58404d75b44a00c1b8a82e56 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-24T10:46:31Z |
| publishDate | 2024-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4d3ba41f58404d75b44a00c1b8a82e562024-04-12T13:17:35ZengMDPI AGElectronics2079-92922024-04-01137140410.3390/electronics13071404Generative Design of the Architecture Platform in Multiprocessor System DesignLuise Müller0Nico Schumacher1Lukas Steffen2Christian Haubelt3Applied Microelectronics and Computer Engineering, University of Rostock, 18059 Rostock, GermanyApplied Microelectronics and Computer Engineering, University of Rostock, 18059 Rostock, GermanyApplied Microelectronics and Computer Engineering, University of Rostock, 18059 Rostock, GermanyApplied Microelectronics and Computer Engineering, University of Rostock, 18059 Rostock, GermanyWhen designing a system at the Electronic System Level (ESL), designers are confronted with a very large number of design decisions, each affecting the characteristics of the resulting system. Simultaneously, the demands for the system’s performance, reliability, and energy consumption have increased drastically. Design Space Exploration (DSE) aims to facilitate this complex task by automating the system synthesis and traversing the design space autonomously. Previous studies on DSE have mainly considered fixed architectures with a fixed set of hardware components only. In the paper at hand, we overcome this limitation to allow for a higher degree of freedom in the design of a multiprocessor system. Instead of a fixed architecture as input, we are using a resource library containing resource types whose instances can then be arbitrarily placed and connected. More specifically, we enable the exploration of the types, the number, and the positions of required processing-type instances in a grid-based topology template in addition to deciding on the remaining system synthesis tasks, namely, resource allocation, task binding, routing, and scheduling. We provide an extensible framework, based on Answer Set Programming (ASP) modulo Theories (ASPmT), for generating system architectures fulfilling predefined constraints. Our studies show that this higher degree of freedom, originating from fewer restrictions regarding the architecture, leads to an increased complexity of the problem. In extensive experiments, we show scalability trends for a set of parameters, demonstrating the capabilities and limits of our approach.https://www.mdpi.com/2079-9292/13/7/1404generative design approachhardware–software co-designhigh-level synthesisdesign space explorationanswer set programming |
| spellingShingle | Luise Müller Nico Schumacher Lukas Steffen Christian Haubelt Generative Design of the Architecture Platform in Multiprocessor System Design Electronics generative design approach hardware–software co-design high-level synthesis design space exploration answer set programming |
| title | Generative Design of the Architecture Platform in Multiprocessor System Design |
| title_full | Generative Design of the Architecture Platform in Multiprocessor System Design |
| title_fullStr | Generative Design of the Architecture Platform in Multiprocessor System Design |
| title_full_unstemmed | Generative Design of the Architecture Platform in Multiprocessor System Design |
| title_short | Generative Design of the Architecture Platform in Multiprocessor System Design |
| title_sort | generative design of the architecture platform in multiprocessor system design |
| topic | generative design approach hardware–software co-design high-level synthesis design space exploration answer set programming |
| url | https://www.mdpi.com/2079-9292/13/7/1404 |
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