JuliaDynamics/RecurrenceAnalysis.jl

Speeding up recurrence quantification

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#94 opened on May 29, 2020

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Description

My research has now moved into looking at the evolution of recurrence metrics over a range of ϵs. As such, I have to compute RQA across 100 different values of ϵ, which is pretty slow - some particularly annoying datasets can take up to 10 minutes, even with multithreading. timings

I am going to look into speeding these computations up in the future, and would appreciate any advice on where to start.

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Contributor guide

Research direction
Profile the current computation to identify bottlenecks and explore algorithmic optimizations for RQA metrics over multiple epsilon values.
Tech stack
julia
Domain
backend
Issue type
Performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Julia
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40