TY - GEN
T1 - A embedded real-time polymorphic computing platform architecture
AU - Wu, Yi
AU - Zhou, Xingshe
AU - Wu, Xiao
AU - Xu, Zhan
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2013
Y1 - 2013
N2 - With rising requirements on computational capability, data throughput, reconfigure-ability, reliability, scalability and adaptability to poor working conditions of complex multi-task embedded systems, traditional embedded computing platforms obviously cannot meet these requirements. How to take advantage of all kinds of advanced embedded computing technologies to build a polymorphic computing platform architecture which can dynamically reconstruct its computing resources with tasks changing becomes a research hotspot. This paper presents a new high-performance VPX-based embedded polymorphic computing platforms architecture, and implements a polymorphic prototype system. The platform is comprised of three general and specific high-speed computing resources including GPU, FPGA, PowerPC, which are interconnected by high-speed serial RapidIO (SRIO) protocol and Gigabit Ethernet. It can be configured and widely used in varieties of complex embedded computing systems.
AB - With rising requirements on computational capability, data throughput, reconfigure-ability, reliability, scalability and adaptability to poor working conditions of complex multi-task embedded systems, traditional embedded computing platforms obviously cannot meet these requirements. How to take advantage of all kinds of advanced embedded computing technologies to build a polymorphic computing platform architecture which can dynamically reconstruct its computing resources with tasks changing becomes a research hotspot. This paper presents a new high-performance VPX-based embedded polymorphic computing platforms architecture, and implements a polymorphic prototype system. The platform is comprised of three general and specific high-speed computing resources including GPU, FPGA, PowerPC, which are interconnected by high-speed serial RapidIO (SRIO) protocol and Gigabit Ethernet. It can be configured and widely used in varieties of complex embedded computing systems.
KW - FPGA
KW - Many-core
KW - Polymorphic Computing
UR - http://www.scopus.com/inward/record.url?scp=84918549936&partnerID=8YFLogxK
U2 - 10.1109/MEC.2013.6885429
DO - 10.1109/MEC.2013.6885429
M3 - 会议稿件
AN - SCOPUS:84918549936
T3 - Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
SP - 2326
EP - 2330
BT - Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
Y2 - 20 December 2013 through 22 December 2013
ER -