Enzyme
Summary:
Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable LLVM. By operating on the LLVM level Enzyme is able to perform AD across a variety of languages and perform optimization prior to AD
URL: https://enzyme.mit.edu
Developers:
- William S. Moses
- Valentin Churavy
| Mode: |
Reverse |
| Method: |
Source transformation |
| Supported Language: |
C/C++ Fortran 77/90 Fortran2003 Fortran2008 Fortran77 Fortran95 Julia LLVM Language independent |
Reference:
William Moses, Valentin Churavy
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
Conference proceeding, Advances in Neural Information Processing Systems, Curran Associates, Inc., 2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
Conference proceeding, Advances in Neural Information Processing Systems, Curran Associates, Inc., 2020
Supported Platforms:
- Windows
- Unix/Linux
- Mac
- Application Server
Licensing: open source
Entries in our publication database that actually use Enzyme in the numerical experiments: 2
The following diagram shows these entries versus the year of the publication.
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