trueno-db 0.3.9

GPU-First Embedded Analytics with SIMD Fallback

GPU-first embedded analytics database with graceful degradation: GPU → SIMD → Scalar

Features

• Cost-based dispatch: GPU only when compute > 5x transfer time
• Morsel-based paging: Out-of-core execution (128MB chunks)
• JIT WGSL compiler: Kernel fusion for single-pass execution
• GPU kernels: SUM, MIN, MAX, COUNT, AVG, fused filter+sum
• SIMD fallback: Trueno integration (AVX-512/AVX2/SSE2)
• SQL interface: SELECT, WHERE, aggregations, ORDER BY, LIMIT

Installation

[dependencies]
trueno-db = "0.3"

# Optional: GPU acceleration
trueno-db = { version = "0.3", features = ["gpu"] }

Quick Start

use trueno_db::query::{QueryEngine, QueryExecutor};
use trueno_db::storage::StorageEngine;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let storage = StorageEngine::load_parquet("data/events.parquet")?;
    let engine = QueryEngine::new();
    let executor = QueryExecutor::new();

    let plan = engine.parse(
        "SELECT COUNT(*), SUM(value), AVG(value) FROM events WHERE value > 100"
    )?;
    let result = executor.execute(&plan, &storage)?;
    Ok(())
}

Performance

SIMD Aggregation (1M rows, AMD Threadripper 7960X):

Examples

cargo run --example sql_query_interface --release
cargo run --example benchmark_shootout --release
cargo run --example gaming_leaderboards --release
cargo run --example gpu_aggregations --features gpu --release

Development

make build           # Build
make test            # Run tests
make quality-gate    # lint + test + coverage
make bench-comparison

License

MIT