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A New Parallel CODEC Technique for CDMA NoCs
Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China..
Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China..
Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China..
Univ Elect Sci & Technol China, Chengdu 611731, Sichuan, Peoples R China..
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2018 (English)In: IEEE transactions on industrial electronics (1982. Print), ISSN 0278-0046, E-ISSN 1557-9948, Vol. 65, no 8, p. 6527-6537Article in journal (Refereed) Published
Abstract [en]

Code division multiple access (CDMA) network-on-chip (NoC) has been proposed for many-core systems due to its data transfer parallelism over communication channels. Consequently, coder-decoder (CODEC) module, which greatly impacts the performance of CDMA NoCs, attracted growing attention in recent years. In this paper, we propose a new parallel CODEC technique for CDMA NoCs. In general, by using a few simple logic circuits with small penalties in area and power, our new parallel (NPC) CODEC can execute the encoding/decoding process in parallel and thus reduce the data transfer latency. To reveal the benefits of our method for on-chip communication, we apply our NPC to CDMA NoCs and perform extensive experiments. From the results, we can find that our method outperforms existing parallel CODECs, such as Walsh-based parallel CODEC (WPC) and overloaded parallel CODEC (OPC). Specifically, it improves the critical point of communication latency (7.3% over WPC and 13.5% over OPC), reduces packet latency jitter by about 17.3% (against WPC) and 71.6% (against OPC), and improves energy efficiency by up to 41.2% (against WPC) and 59.2% (against OPC).

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 65, no 8, p. 6527-6537
Keywords [en]
Code division multiple access (CDMA), coder-decoder (CODEC), energy efficiency, network-on-chip (NoC), performance
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:kth:diva-226177DOI: 10.1109/TIE.2017.2786230ISI: 000428902200050Scopus ID: 2-s2.0-85039797002OAI: oai:DiVA.org:kth-226177DiVA, id: diva2:1206140
Note

QC 20180518

Available from: 2018-05-16 Created: 2018-05-16 Last updated: 2018-05-16Bibliographically approved

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Lu, Zhonghai

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