ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost
There is a growing gap between data explosion speed and the improvement of graph processing systems on conventional architectures. The main reason lies in the large overhead of random access and data movement, as well as the unbalanced and unordered communication cost. The emerging metal-oxide resis...
Main Authors: | Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9121925/ |
Similar Items
-
Design Exploration of ReRAM-Based Crossbar for AI Inference
by: Yasmin Halawani, et al.
Published: (2021-01-01) -
An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism
by: Leibin Ni, et al.
Published: (2017-01-01) -
A Relaxed Quantization Training Method for Hardware Limitations of Resistive Random Access Memory (ReRAM)-Based Computing-in-Memory
by: Wei-Chen Wei, et al.
Published: (2020-01-01) -
A Reconfigurable 4T2R ReRAM Computing In-Memory Macro for Efficient Edge Applications
by: Yuzong Chen, et al.
Published: (2021-01-01) -
Determining the Electrical Charging Speed Limit of ReRAM Devices
by: M. von Witzleben, et al.
Published: (2021-01-01)