icentral-test-largest-bcc-speedup

icentral-test-largest-bcc-speedup is a Rust crate that provides functionality to estimate potential speedups achieved by focusing on the largest biconnected component (LBCC) in a graph. The central insight of this crate is that by analyzing one of the largest biconnected components, we can potentially deduce more efficient computational strategies that result in significant runtime improvements when handling large graph datasets.

Functionality

speedup_info_lbcc

This function calculates metrics and estimates speedups by examining how many nodes and edges are present in the largest biconnected component of a given graph. Through statistical analysis of randomized potential edge insertions, it can estimate the computational speedup that might be realized if computations focus on this central graph component.

Key statistics such as mean, median, and standard deviation speedups are evaluated and displayed within a debug context to allow developers to understand the potential efficiency.

Usage

To effectively employ this crate:

1. Include the crate in your Cargo.toml dependencies.
2. Use speedup_info_lbcc by passing a graph (wrapped in Arc<Mutex<Graph<GraphHash>>>) and specify the number of edges to simulate inserting.
3. Interpret the debug output for statistical insights on potential speedups.

Example

use icentral_test_largest_bcc_speedup::speedup_info_lbcc;
use std::sync::{Arc, Mutex};

// Assume `graph` is a pre-constructed Arc<Mutex<Graph<GraphHash>>> instance.
let result = speedup_info_lbcc(graph, 100);

Dependencies

• rand for generating random numbers used in edge insertions.

Note

This README.md file was generated by an AI model and may not be 100% accurate; however, it should be fairly representative of the crate's functionality and intended use.

This crate is in the process of being translated from c++ to rust. Currently, it still needs exhaustive testing. It is likely there currently exist many glitches which need to be fixed before proper usage. This crate is based on the original icentral program developed by Fuad Jamor. Please see the following repository for details: https://github.com/fjamour/icentral.

For progress updates, see the workspacer rust project.