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Mapping and physical planning of networks-on-chip architectures with quality-of-service guarantees
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Source Asia and South Pacific Design Automation Conference archive
Proceedings of the 2005 Asia and South Pacific Design Automation Conference table of contents
Shanghai, China
SESSION: System level design methodology for network-on-chip table of contents
Pages: 27 - 32  
Year of Publication: 2005
ISBN:0-7803-8737-6
Authors
Srinivasan Murali  Stanford University, Stanford, CA
Luca Benini  Univ. of Bologna, Bologna, Italy
Giovanni De Micheli  Stanford University, Stanford, CA
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
: Shanghai IC Industry Association
: IEEE SSCS Shanghai Chapter
: IEEE CAS
: IEEE Beijing Section
: Fudan University
: Chinese Institute of Electronics
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 108,   Citation Count: 19
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ABSTRACT

Networks on Chips (NoCs) have evolved as the communication design paradigm of future Systems on Chips (SoCs). In this work we target the NoC design of complex SoCs with heterogeneous processor/memory cores, providing Quality-of-Service (QoS) for the application. We present an integrated approach to mapping of cores onto NoC topologies and physical planning of NoCs, where the position and size of the cores and network components are computed. Our design methodology automates NoC mapping, physical planning, topology selection, topology optimization and instantiation, bridging an important design gap in building application specific NoCs. We also present a methodology to guarantee QoS for the application during the mapping-physical planning process by satisfying the delay/jitter constraints and real-time constraints of the traffic streams. Experimental studies show large area savings (up to 2x), bandwidth savings (up to 5x) and network component savings (up to 2.2x in buffer count, 3.8x in number of wires, 1.6x in switch ports) compared to traditional design approaches.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  19

Collaborative Colleagues:
Srinivasan Murali: colleagues
Luca Benini: colleagues
Giovanni De Micheli: colleagues