SUNMAP a tool for automatic topology selection and generation for NoCs
Increasing communication demands of processor and memory cores in Systems on Chips (SoCs) necessitate the use of Networks on Chip (NoC) to interconnect the cores. An important phase in the design of NoCs is he mapping of cores onto the most suitable opology for a given application. In this paper, we...
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Published in | 2004 41st Conference Design Automation pp. 914 - 919 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
New York, NY, USA
ACM
07.06.2004
IEEE Association for Computing Machinery |
Series | ACM Conferences |
Subjects | |
Online Access | Get full text |
ISBN | 1581138288 9781581138283 1511838288 |
ISSN | 0738-100X |
DOI | 10.1145/996566.996809 |
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Summary: | Increasing communication demands of processor and memory cores in Systems on Chips (SoCs) necessitate the use of Networks on Chip (NoC) to interconnect the cores. An important phase in the design of NoCs is he mapping of cores onto the most suitable opology for a given application. In this paper, we present SUNMAP a tool for automatically selecting he best topology for a given application and producing a mapping of cores onto that topology. SUNMAP explores various design objectives such as minimizing average communication delay, area, power dissipation subject to bandwidth and area constraints. The tool supports different routing functions (dimension ordered, minimum-path, traffic splitting) and uses floorplanning information early in the topology selection process to provide feasible mappings. The network components of the chosen NoC are automatically generated using cycle-accurate SystemC soft macros from X-pipes architecture. SUNMAP automates NoC selection and generation, bridging an important design gap in building NoCs. Several experimental case studies are presented in the paper, which show the rich design space exploration capabilities of SUNMAP. |
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Bibliography: | SourceType-Conference Papers & Proceedings-1 ObjectType-Conference Paper-1 content type line 25 |
ISBN: | 1581138288 9781581138283 1511838288 |
ISSN: | 0738-100X |
DOI: | 10.1145/996566.996809 |