Data Stream Processing in Networks-on-Chip
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Nowadays, the growing complexity in a wide variety of applications has led to the use of Multiprocessor Systems-on-Chip (MPSoCs). Networks-on-Chip (NoCs) have emerged as a scalable intra-chip communication technology for a high number of processing elements. However, the evolution of MPSoCs shows increasing communication requirements due to the growing number of PEs. This paper presents a novel Network-on-Chip microarchitecture that combines data transfers with data stream processing to exploit efficiently the transmission time. Data stream processing is enabled by a lightweight processing unit that is located within the transmission channels of the NoC. Thus, data can be processed by operations either in a processing element such as a MicroBlaze processor or inside the NoC while it is transferred. Operations executed by the NoC reduce the workload of the processing elements. In addition, the transmission time will be efficiently used. The novel microarchitecture is evaluated and compared to a state-of-the-art router on a Xilinx Zynq FPGA.
Details
Originalsprache | Englisch |
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Titel | 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 |
Redakteure/-innen | Ricardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 633-638 |
Seitenumfang | 6 |
ISBN (elektronisch) | 9781509067626 |
Publikationsstatus | Veröffentlicht - 20 Juli 2017 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | IEEE Computer Society Annual Symposium on VLSI |
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ISSN | 2159-3477 |
Konferenz
Titel | 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 |
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Dauer | 3 - 5 Juli 2017 |
Stadt | Bochum, North Rhine-Westfalia |
Land | Deutschland |
Externe IDs
ORCID | /0000-0003-2571-8441/work/142240452 |
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Scopus | 85027284422 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Data Stream Processing, FPGA, Many Core Systems, MPSoC, Network-on-Chip