[1] Numerical Correctness in AMD and NVIDIA GPUs. Xinyi Li, Ang Li, Bo Fang, Ignacio Laguna and Ganesh Gopalakrishnan. In submission

[2] A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates. Zirui Mao, Xinyi Li, Shenyang Hu, Ganesh Gopalakrishnan, Ang Li. In submission

[3] Design and evaluation of GPU-FPX: A low-overhead tool for floating-point exception detection in NVIDIA GPUs. Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Swirydowicz, Ang Li and Ganesh Gopalakrishnan. In Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
pdf, code, slides

[4] Toward Increasing Trust in Exascale Simulations. Dorra Ben Khalifa, Xinyi Li, Ignacio Laguna, MatthieuMartel, Ganesh Gopalakrishnan. 2022 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Com-puting (XLOOP)

[5] Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications. Bo Fang, Siva Hari,Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li. 2022 IEEE/ACM12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)

[6] FPChecker: Floating-point exception detection tool and benchmark for parallel and distributed hpc. Laguna, Ignacio, Tanmay Tirpankar, Xinyi Li, and Ganesh Gopalakrishnan. In 2022 IEEE International Symposium on Workload Characterization (IISWC), pp. 39-50. IEEE, 2022.
pdf, code

[7] BinFPE: accurate floating-point exception detection for GPU applications. Ignacio Laguna, Xinyi Li, and Ganesh Gopalakrishnan. In Proceedings of the 11th ACM SIGPLAN International Workshop on the StateOf the Art in Program Analysis (SOAP 2022).
pdf, code

[8] Approximating the geometric edit distance. Xinyi LiJoint with Kyle Fox. Algorithmica, 84(9), 2395–2413, 2022. Extended abstract in Proceedings of the 30th International Symposium on Algorithms and Computation(ISAAC), 26:1–26:16, 2019.