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Vectorised Computation of Diverging Ensembles., , , and . ICPP, page 51:1-51:10. ACM, (2018)Combining Checkpointing and Data Compression to Accelerate Adjoint-Based Optimization Problems., , , , and . Euro-Par, volume 11725 of Lecture Notes in Computer Science, page 87-100. Springer, (2019)Towards Self-Verification in Finite Difference Code Generation., , , , , , , , and . CORRECTNESS@SC, page 42-49. ACM, (2017)Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code., , , and . CORRECTNESS@SC, page 34-41. ACM, (2017)TROPHY: Trust Region Optimization Using a Precision Hierarchy., , , , , and . ICCS (1), volume 13350 of Lecture Notes in Computer Science, page 445-459. Springer, (2022)Reducing Memory Requirements of Quantum Optimal Control., , , , and . ICCS (4), volume 13353 of Lecture Notes in Computer Science, page 129-142. Springer, (2022)Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates., , , , , , , , and . PASC, page 6:1-6:10. ACM, (2024)Optimised finite difference computation from symbolic equations., , , , , , and . SciPy, page 89-97. scipy.org, (2017)Improving PyDDA's atmospheric wind retrievals using automatic differentiation and Augmented Lagrangian methods., , , , , , and . SciPy, page 210-216. scipy.org, (2022)Forward Gradients for Data-Driven CFD Wall Modeling., , , and . CoRR, (2023)