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Vectorised Computation of Diverging Ensembles., , , and . ICPP, page 51:1-51:10. ACM, (2018)Understanding Automatic Differentiation Pitfalls., , , , , and . CoRR, (2023)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)Combining checkpointing and data compression for large scale seismic inversion., , , , , , and . CoRR, (2018)Source-to-Source Automatic Differentiation of OpenMP Parallel Loops., and . ACM Trans. Math. Softw., 48 (1): 7:1-7:32 (2022)Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models., , , , , , , and . CoRR, (2023)High-level python abstractions for optimal checkpointing in inversion problems., , , , , , and . CoRR, (2018)Verifying Properties of Differentiable Programs., , , , and . SAS, volume 11002 of Lecture Notes in Computer Science, page 205-222. Springer, (2018)Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation., , , , , , , and . SC, page 60:1-60:18. IEEE, (2022)Lossy Checkpoint Compression in Full Waveform Inversion., , , , , and . CoRR, (2020)