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- Argonne National Laboratory, USA
The Computational Differentiation Group develops technologies, tools, and new differentiation strategies. Our research is guided by our collaborations with scientists from a variety of application domains.
Developed Tools:
ADIC
, ADIFOR
, OpenAD
, Rapsodia
- Brain and Computation Lab, National University of Ireland Maynooth, Ireland
We are working on higher-order automatic differentiation, focusing on implementations in functional languages. We are adding exact first-class differentiation operators to the lambda calculus and create systems suitable for fast numeric computing and compositional approaches in machine learning.
Developed Tools:
DiffSharp
- Chair for Scientific Computing, TU Kaiserslautern, Germany
Development and applications of AD in industrial and large-scale environments. Mainly in the field of internal/external aerodynamics.
Developed Tools:
CoDiPack
- Cranfield University - Centre for Simulation and Analytics, UK
Our interests include: AD Tool development for MATLAB code via both operator-overloading (MAD project) and source-transformation (MSAD project); application of source-transformation AD Tools to problems in computational engineering including CFD and structural analysis.
Developed Tools:
TOMLAB /MAD
- FastOpt, Germany
FastOpt is an R&D company specialised in data assimilation, inverse modelling, parameter estimation, sensitivity analysis, and satellite data processing.
Developed Tools:
TAF
, TAMC
- Friedrich Schiller University Jena, Germany
Our research focus is on theoretical aspects, tool development, and applications.
Developed Tools:
ad
, ADiMat
- Humboldt University, Berlin, Germany
Developed Tools:
ADOL-C
, Treeverse / Revolve
- INRIA Sophia Antipolis, France
We study software tools for analysis and transformation of scientific
programs. Our main focus is Automatic Differentiation, for which we
study new strategies, essentially for the reverse mode. We investigate
applications of compilers and parallelizers techniques into A.D. We
develop and distribute an A.D. tool, TAPENADE (the successor of Odyssee)
Developed Tools:
TAPENADE
- Marquette University, USA
Slightly retired Emeritus Professor Gorge Corliss
- Massachusetts Institute of Technology, USA
A broad program of research is conducted on the analysis, modeling, simulation, optimization, design, control, and operation of process systems.
- Mila
Conducts research in automatic differentiation and differentiable programming for machine learning applications. Maintains various AD frameworks including Theano, Myia, Kotlin𝛁, et al.
- Rice University, USA
Developed Tools:
ADIFOR
- RWTH Aachen University (STCE), Germany
Algorithms and Combinatorics in AD
Developed Tools:
ad
, dco/c++
, dco/map
, OpenAD
- Technische Universität Darmstadt, Germany
Theory, tool development, and applications.
Developed Tools:
ADiMat
- The Taylor Center
The Taylor Center represents both a particular SOFTWARE, the THEORY surrounding it, and the community of interested researchers.
Developed Tools:
The Taylor Center
- University of Hertfordshire, UK
Our research contributed significantly to advancing the theory underpinning the technology. The inspiration for placing AD functionality inside a compiler also came from our group.
Developed Tools:
NAGWare Fortran 95
- University of Paderborn, Germany
Forschungsgegenstand der Arbeitgruppe ist die Entwicklung, Anwendung und Analyse von adjungierten-basierte Optimierungsmethoden.
Developed Tools:
ADOL-C
, Treeverse / Revolve
- University of Waterloo, Canada
Our research program is concerned with the design and understanding of practical and efficient numerical algorithms for continuous optimization problems, including computing methodologies such as automatic differentiation.
Developed Tools:
ad
, ADMAT / ADMIT
- vivlabs LLC, USA
Developed Tools:
ADC
, ADF
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