AccRQA is a high-performance, multi-platform library for calculating Recurrence Quantification Analysis (RQA) measures. This release delivers optimised implementations for CPU and NVIDIA GPU computation.
Core Features:
- Platform-agnostic design with automatic CPU fallback
- Support for RR, LAM, TT, TTmax, DET, L, Lmax, ENTR measures
- Euclidean and maximal distance norms
Key Benefits:
- Seamless transition between laptop and HPC environments
- Optional use of NVIDIA GPUs
- Memory-efficient
Availability:
- Python package on PyPI:
pip install accrqa - R package via source archive
- C/C++ library with CMake build system
Documentation: https://kadamek.github.io/AccRQA/index.html