rustkernels

GPU-accelerated kernel library for financial services, analytics, and compliance workloads.

RustKernels is a Rust port of the DotCompute GPU kernel library, leveraging the RustCompute (RingKernel) framework for GPU-native persistent actors.

Features

14 Domain Categories: Graph analytics, ML, compliance, risk, temporal analysis, and more
106+ Kernels: Comprehensive coverage of financial and analytical algorithms
Dual Execution Modes:
- Batch: CPU-orchestrated, 10-50us overhead, for periodic heavy computation
- Ring: GPU-persistent actor, 100-500ns latency, for high-frequency operations
Enterprise Licensing: Domain-based licensing and feature gating
Multi-Backend: CUDA, WebGPU, and CPU backends via RustCompute

Domain Crates

Domain	Crate	Kernels
Graph Analytics	`rustkernel-graph`	28
Statistical ML	`rustkernel-ml`	17
Compliance	`rustkernel-compliance`	11
Temporal Analysis	`rustkernel-temporal`	7
Risk Analytics	`rustkernel-risk`	5
Process Intelligence	`rustkernel-procint`	7
Behavioral Analytics	`rustkernel-behavioral`	6
Banking	`rustkernel-banking`	1
Order Matching	`rustkernel-orderbook`	1
Clearing	`rustkernel-clearing`	5
Treasury	`rustkernel-treasury`	5
Accounting	`rustkernel-accounting`	9
Payments	`rustkernel-payments`	2
Audit	`rustkernel-audit`	2

Installation

Add to your Cargo.toml:

[dependencies]
rustkernels = "0.1.1"

Quick Start

use rustkernels::prelude::*;

// Create a kernel registry
let registry = KernelRegistry::new();

// Register all kernels
rustkernels::register_all(&registry)?;

// Use a specific kernel
let pagerank = PageRank::new();
pagerank.initialize(graph, 0.85);
let score = pagerank.query_score(node_id);

License