Ruidong Gu

Gu, R., Beata, P., & Becchi, M. (2020). A Loop-aware Autotuner for High-Precision Floating-point Applications. 2020 IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE (ISPASS), pp. 285–295. https://doi.org/10.1109/ISPASS48437.2020.00048

Gu, R., & Becchi, M. (2020). GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU. 2020 IEEE 27TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS (HIPC 2020), pp. 294–304. https://doi.org/10.1109/HiPC50609.2020.00043

Gu, R., & Becchi, M. (2019). A Comparative Study of Parallel Programming Frameworks for Distributed GPU Applications. CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, pp. 268–273. https://doi.org/10.1145/3310273.3323071

Surineni, S., Gu, R. D., Nguyen, H., & Becchi, M. (2017). Understanding the performance-accuracy tradeoffs of floating-point arithmetic on GPUs. Proceedings of the 2017 ieee international symposium on workload characterization (iiswc), 207–218. https://doi.org/10.1109/iiswc.2017.8167778