Lib.rs

GPU-First Embedded Graph Database for Code Analysis

Call graphs, dependencies, AST traversals with 10-250x GPU acceleration.

Features

• CSR Storage: Compressed Sparse Row for O(1) neighbor queries
• GPU Acceleration: BFS (250x), PageRank (100x) via WGSL shaders
• Parquet Persistence: DuckDB-inspired columnar storage
• Louvain Clustering: Community detection for code modules
• Anti-Pattern Detection: God Class, Circular Dependencies, Dead Code
• VRAM Paging: Morsel-based tiling for large graphs

Installation

[dependencies]
trueno-graph = "0.1"

# Optional: GPU acceleration
trueno-graph = { version = "0.1", features = ["gpu"] }

Quick Start

use trueno_graph::{CsrGraph, NodeId, pagerank, bfs};

let mut graph = CsrGraph::new();
graph.add_edge(NodeId(0), NodeId(1), 1.0)?;
graph.add_edge(NodeId(0), NodeId(2), 1.0)?;

// Graph algorithms
let reachable = bfs(&graph, NodeId(0))?;
let scores = pagerank(&graph, 20, 1e-6)?;

// Persistence
graph.write_parquet("graph").await?;

GPU Usage

use trueno_graph::gpu::{GpuDevice, GpuCsrBuffers, gpu_bfs};

let device = GpuDevice::new().await?;
let buffers = GpuCsrBuffers::from_csr_graph(&device, &graph)?;
let result = gpu_bfs(&device, &buffers, NodeId(0)).await?;

Performance

Development

make test      # Run tests
make coverage  # ≥95% coverage
make bench     # Benchmarks

License

MIT