Li, J., Wang, K., Zheng, H., & Louri, A. (2023). GShuttle: Optimizing Memory Access Efficiency for Graph Convolutional Neural Network Accelerators. Journal of computer science and technology, 38(1), 115-127. https://doi.org/10.1007/s11390-023-2875-9
Chicago Style (17th ed.) CitationLi, Jia-Jun, Ke Wang, Hao Zheng, and Ahmed Louri. "GShuttle: Optimizing Memory Access Efficiency for Graph Convolutional Neural Network Accelerators." Journal of Computer Science and Technology 38, no. 1 (2023): 115-127. https://doi.org/10.1007/s11390-023-2875-9.
MLA (9th ed.) CitationLi, Jia-Jun, et al. "GShuttle: Optimizing Memory Access Efficiency for Graph Convolutional Neural Network Accelerators." Journal of Computer Science and Technology, vol. 38, no. 1, 2023, pp. 115-127, https://doi.org/10.1007/s11390-023-2875-9.