TY - JOUR
T1 - A traffic-aware memory-cube network using bypassing
AU - Shikama, Yoshiya
AU - Kawano, Ryuta
AU - Matsutani, Hiroki
AU - Amano, Hideharu
AU - Nagasaka, Yusuke
AU - Fukumoto, Naoto
AU - Koibuchi, Michihiro
N1 - Funding Information:
This work is supported by VLSI Design and Education Center(VDEC) , the University of Tokyo, Japan with the collaboration with CADENCE Corporation and SYNOPSYS Corporation, United States .
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/4
Y1 - 2022/4
N2 - Three-dimensional stack memory which provides both high-bandwidth access and large capacity is a promising technology for next-generation computer systems. While a large number of memory cubes increase the aggregate memory capacity, the communication latency and power consumption increase significantly owing to its low-radix large-diameter packet network. In this context, we propose a memory-cube network called Diagonal Memory Network (DMN). A diagonal network topology, its floor layout, and its lightweight router were designed for low-latency and low-voltage memory-read communication. DMN routing efficiently avoids deadlocks of packets, although it allows each packet transmitted to a processor to use both bypassing and original datapaths. Our evaluation results show that the DMN router decreases the use of hardware resources by more than 31% compared with a conventional virtual channel router. The DMN router reduces energy consumption by 13% and 67% to transit a packet along with the original datapath and bypassing datapath, respectively. Furthermore, using flit-level discrete event simulation, a DMN topology achieves high throughput and latency that is lower than that of existing network topologies using conventional packet routers.
AB - Three-dimensional stack memory which provides both high-bandwidth access and large capacity is a promising technology for next-generation computer systems. While a large number of memory cubes increase the aggregate memory capacity, the communication latency and power consumption increase significantly owing to its low-radix large-diameter packet network. In this context, we propose a memory-cube network called Diagonal Memory Network (DMN). A diagonal network topology, its floor layout, and its lightweight router were designed for low-latency and low-voltage memory-read communication. DMN routing efficiently avoids deadlocks of packets, although it allows each packet transmitted to a processor to use both bypassing and original datapaths. Our evaluation results show that the DMN router decreases the use of hardware resources by more than 31% compared with a conventional virtual channel router. The DMN router reduces energy consumption by 13% and 67% to transit a packet along with the original datapath and bypassing datapath, respectively. Furthermore, using flit-level discrete event simulation, a DMN topology achieves high throughput and latency that is lower than that of existing network topologies using conventional packet routers.
KW - Interconnection network
KW - Memory cube network
KW - Router architecture
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U2 - 10.1016/j.micpro.2022.104471
DO - 10.1016/j.micpro.2022.104471
M3 - Article
AN - SCOPUS:85124905130
SN - 0141-9331
VL - 90
JO - Microprocessors and Microsystems
JF - Microprocessors and Microsystems
M1 - 104471
ER -