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05/12/2023
Understanding Automatic Differentiation Pitfalls
Automatic differentiation, also known as backpropagation, AD, autodiff, ...
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11/02/2021
Source-to-Source Automatic Differentiation of OpenMP Parallel Loops
This paper presents our work toward correct and efficient automatic diff...
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07/05/2019
Automatic Differentiation for Adjoint Stencil Loops
Stencil loops are a common motif in computations including convolutional...
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02/13/2019
Training on the Edge: The why and the how
Edge computing is the natural progression from Cloud computing, where, i...
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10/11/2018
Combining checkpointing and data compression for large scale seismic inversion
Seismic inversion and imaging are adjoint-based optimization problems th...
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07/09/2018
Architecture and performance of Devito, a system for automated stencil computation
Stencil computations are a key part of many high-performance computing a...
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05/22/2018
Backpropagation for long sequences: beyond memory constraints with constant overheads
Naive backpropagation through time has a memory footprint that grows lin...
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01/12/2018
High-level python abstractions for optimal checkpointing in inversion problems
Inversion and PDE-constrained optimization problems often rely on solvin...
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07/12/2017