Editorial for the special issue on memory architectures and systems for modern applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Hardware and Architecture,Computer Science Applications,Computer Science (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s42514-022-00133-9.pdf
Reference8 articles.
1. Chen, Y., Qiu, K., Chen, L., et al.: Smart scheduler: an adaptive NVM-aware thread scheduling approach on NUMA systems. CCF Trans. HPC (2022). https://doi.org/10.1007/s42514-022-00110-2
2. Dai, Y., Tang, X., Zhang, Y.: An efficient segmented quantization for graph neural networks. CCF Trans. HPC (2022). https://doi.org/10.1007/s42514-022-00121-z
3. Guo, A., Xue, C., Chen, X., et al.: VCCIM: a voltage coupling based computing-in-memory architecture in 28 nm for edge AI applications. CCF Trans. HPC (2022). https://doi.org/10.1007/s42514-022-00111-1
4. Islam, A.A.R., York, C., Dai, D.: A performance study of optane persistent memory: from storage data structures’ perspective. CCF Trans. HPC (2022). https://doi.org/10.1007/s42514-022-00123-x
5. Luo, L., Liu, D., Zhang, H., et al.: SpinCIM: spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture. CCF Trans. HPC (2022). https://doi.org/10.1007/s42514-022-00108-w
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