Lightning-Fast Performance
Leverage the latest technologies to provide fast retrievals on consumer grade computers and high-performance computing facilities.
Exceptional with optimized python design using numpy and numba: TauREx uses vectorized and C-compiled libraries to provide the fastest models, even on laptops.
NVidia GPU-accelerated models allow 100x gains in your calculations: these functionalities are deployed via the TauREx-Cupy plugin.
TauREx retrievals are made for parallel computing on HPC! Using MPI, multiple CPUs can work on the same problem.
1000+ CPUs across multiple nodes, Low memory nodes, multi-GPU facilities? TauREx is always at its best and adapts to your facilities.
Built for Speed
Our code is engineered from the ground to optimize performances on large sciencific computing facilities. Sucessfully deployed over 20+ National and University clusters, 1000+ CPUs and GPUs can work together in order to find the atmospheric composition of alien worlds!
For more information about TauREx Computing, see press release from our partners NVidia and DiRAC HPC:
Performance Metrics
- 1-core CPU compute (1 molecule): 0.6s
- 1-core CPU compute (15 molecules): 2.3s
- GPU compute (15 molecules): < 20ms
- HST Retrieval (24-core CPU): ∼800s
- Ariel Retrievals (24-core CPU): ∼7,500s
Note: The CPU used for these test is a 24-core Xeon E5-2697 at 2.70GHz, and the GPU is an NVidia V100. This is with the Numba library installed.
See it in action
See how our optimized TauREx retrieval code delivers lightning-fast atmospheric models and retrievals! Coming soon!
