Jou-An Chen

Chen, J.-A., Sung, H.-H., Shen, X., Tallent, N., Barker, K., & Li, A. (2023). Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 177, 53–67. https://doi.org/10.1016/j.jpdc.2023.02.013

Chen, J.-A., Sung, H.-H., Shen, X., Choudhury, S., & Li, A. (2023). BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2023, pp. 264–276. https://doi.org/10.1145/3577193.3593725

Chen, J.-A., Niu, W., Ren, B., Wang, Y., & Shen, X. (2023). Survey: Exploiting Data Redundancy for Optimization of Deep Learning. ACM COMPUTING SURVEYS, 55(10). https://doi.org/10.1145/3564663

Chen, J.-A., Sung, H.-H., Shen, X., Tallent, N., Barker, K., & Li, A. (2022). Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), pp. 515–525. https://doi.org/10.1109/IPDPS53621.2022.00056