kEDM
kEDM (Kokkos-EDM) is a high-performance implementation of the Empirical Dynamical Modeling (EDM) framework. The goal of kEDM is to provide an optimized and parallelized implementation of EDM algorithms for high-end CPUs and GPUs, while ensuring compatibility with the original reference implementation (cppEDM).
Following EDM algorithms are currently implemented in kEDM:
- Simplex projection [1]
- Sequential Locally Weighted Global Linear Maps (S-Map) [2]
- Convergent Cross Mapping (CCM) [3]
Installation
CPU (Linux and macOS)
pip3 install kedm
NVIDIA GPU (CUDA 12)
pip3 install kedm-cuda12x
NVIDIA GPU (CUDA 13)
pip3 install kedm-cuda13x
Citing
Please cite the following papers if you find kEDM useful:
- Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao, “Scalable Empirical Dynamic Modeling with Parallel Computing and Approximate k-NN Search,” IEEE Access, vol. 11, pp. 68171–68183, Jun. 2023. 10.1109/ACCESS.2023.3289836
- Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao, "kEDM: A Performance-portable Implementation of Empirical Dynamical Modeling," Practice & Experience in Advanced Research Computing (PEARC 2021), Jul. 2021. 10.1145/3437359.3465571
References
- George Sugihara, Robert May, "Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series," Nature, vol. 344, pp. 734–741, 1990. 10.1038/344734a0
- George Sugihara, "Nonlinear forecasting for the classification of natural time series. Philosophical Transactions," Physical Sciences and Engineering, vol. 348, no. 1688, pp. 477–495, 1994. 10.1098/rsta.1994.0106
- George Sugihara, Robert May, Hao Ye, Chih-hao Hsieh, Ethan Deyle, Michael Fogarty, Stephan Munch, "Detecting Causality in Complex Ecosystems," Science, vol. 338, pp. 496–500, 2012. 10.1126/science.1227079
1 maintainer
Metadata
1 maintainer
Release files for kedm-cuda13x 0.10.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| kedm_cuda13x-0.10.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.14 | CPython 3.14 free-threading | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| kedm_cuda13x-0.10.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.14 | CPython 3.14 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| kedm_cuda13x-0.10.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| kedm_cuda13x-0.10.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| kedm_cuda13x-0.10.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| kedm_cuda13x-0.10.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 | Details |
Total release size: 8.4 MB
Release files / kedm_cuda13x-0.10.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
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|---|---|
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| Size | 1.4 MB |
| Tags | CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 |
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