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GPU Optimizations for Atmospheric Chemical Kinetics., , , , , , , , and . HPC Asia, page 136-138. ACM, (2021)Rocket: efficient and scalable all-pairs computations on heterogeneous platforms., , , , , and . SC, page 101. IEEE/ACM, (2020)Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications., and . IPDPS Workshops, page 744-753. IEEE, (2023)Lightning: Scaling the GPU Programming Model Beyond a Single GPU., , , , and . IPDPS, page 492-503. IEEE, (2022)Towards User Transparent Parallel Multimedia Computing on GPU-Clusters., , and . ISCA Workshops, volume 6161 of Lecture Notes in Computer Science, page 28-39. Springer, (2010)An Integrated Approach to Porting Large Scientific Applications to GPUs., and . e-Science, page 57-66. IEEE Computer Society, (2015)FAIR Sharing of Data in Autotuning Research (Vision Paper)., , , , and . ICPE (Companion), page 21-27. ACM, (2024)Lessons Learned in a Decade of Research Software Engineering GPU Applications., , and . ICCS (7), volume 12143 of Lecture Notes in Computer Science, page 399-412. Springer, (2020)Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning., , , and . PMBS@SC, page 48-59. IEEE, (2022)Performance Models for CPU-GPU Data Transfers., , , and . CCGRID, page 11-20. IEEE Computer Society, (2014)