TY - GEN
T1 - M-KUBOS/PYNQ Cluster for multi-Access edge computing
AU - Inage, Takumi
AU - Hironaka, Kazuei
AU - Iizuka, Kensuke
AU - Ito, Kohei
AU - Fukushima, Yasuyu
AU - Namiki, Mitaro
AU - Amano, Hideharu
N1 - Funding Information:
ACKNOWLEDGMENTS This work was supported by JST CREST Grant Number JPMJCR19K1, Japan.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The M-KUBOS/PYNQ cluster is proposed as an energy efficient computing server for MEC(Multi-Access Edge Computing) which treats various tasks including time-critical jobs at 5G base stations. M-KUBOS boards each of which provides the largest model of Zynq UltraScale+ are connected with high speed serial GTH links and STDM (static time division multiplexing) switches. PYNQ(Python productivity for Zynq), an open-source software platform by Xilinx was introduced so that the multi-Zynq system can be used as a multitenant server. The PYNQ cluster can be programmed by extension of a single PYNQ system, and RESTful APIs are introduced for runtime management of multiple Zynq boards from a remote server. The design examples and evaluation results demonstrate that the M-KUBOS/PYNQ cluster achieved 1.0-17.2 times the performance and 1.75-85.8 times the performance per watt of the recent Ryzen-7 server.
AB - The M-KUBOS/PYNQ cluster is proposed as an energy efficient computing server for MEC(Multi-Access Edge Computing) which treats various tasks including time-critical jobs at 5G base stations. M-KUBOS boards each of which provides the largest model of Zynq UltraScale+ are connected with high speed serial GTH links and STDM (static time division multiplexing) switches. PYNQ(Python productivity for Zynq), an open-source software platform by Xilinx was introduced so that the multi-Zynq system can be used as a multitenant server. The PYNQ cluster can be programmed by extension of a single PYNQ system, and RESTful APIs are introduced for runtime management of multiple Zynq boards from a remote server. The design examples and evaluation results demonstrate that the M-KUBOS/PYNQ cluster achieved 1.0-17.2 times the performance and 1.75-85.8 times the performance per watt of the recent Ryzen-7 server.
KW - FPGA cluster
KW - PYNQ
KW - Zynq
UR - http://www.scopus.com/inward/record.url?scp=85124147349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124147349&partnerID=8YFLogxK
U2 - 10.1109/CANDAR53791.2021.00020
DO - 10.1109/CANDAR53791.2021.00020
M3 - Conference contribution
AN - SCOPUS:85124147349
T3 - Proceedings - 2021 9th International Symposium on Computing and Networking, CANDAR 2021
SP - 95
EP - 101
BT - Proceedings - 2021 9th International Symposium on Computing and Networking, CANDAR 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Symposium on Computing and Networking, CANDAR 2021
Y2 - 23 November 2021 through 26 November 2021
ER -