TY - GEN
T1 - Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths
AU - Shikama, Yoshiya
AU - Kawano, Ryuta
AU - Matsutani, Hiroki
AU - Amano, Hideharu
AU - Nagasaka, Yusuke
AU - Fukumoto, Naoto
AU - Koibuchi, Michihiro
N1 - Funding Information:
VI. Ac k n o w l e d g m e n t This work is supported by VLSI Design and Education Center(VDEC), the University of Tokyo with the collaboration with CADENCE Corporation and SYNOPSYS Corporation.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - Three-dimensional stack memory that 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 would become significant due 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 are designed for low-latency and low-voltage memory-read communication. Our evaluation results show that a DMN router decreases 31% of the hardware resources than a conventional virtual-channel router. The DMN router reduces 13% and 67% energy consumption to transit a packet along with the original datapath and bypassing datapath, respectively.
AB - Three-dimensional stack memory that 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 would become significant due 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 are designed for low-latency and low-voltage memory-read communication. Our evaluation results show that a DMN router decreases 31% of the hardware resources than a conventional virtual-channel router. The DMN router reduces 13% and 67% energy consumption to transit a packet along with the original datapath and bypassing datapath, respectively.
KW - interconnection network
KW - memory cube network
KW - router architecture
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U2 - 10.1109/PDP52278.2021.00030
DO - 10.1109/PDP52278.2021.00030
M3 - Conference contribution
AN - SCOPUS:85105476158
T3 - Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021
SP - 143
EP - 147
BT - Proceedings - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021
Y2 - 10 March 2021 through 12 March 2021
ER -