rustkernels 0.4.0

Python bindings for RustKernels GPU-accelerated kernel library

rustkernels

Python bindings for the RustKernels GPU-accelerated kernel library.

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Overview

rustkernels provides native Python access to 106 GPU-accelerated kernels across 14 financial and analytical domains. Built with PyO3, it wraps the Rust RustKernels library and its RingKernel 0.4.2 runtime.

Use it directly from Python or Jupyter notebooks without needing a REST/gRPC server.

Scope: Batch kernel execution only. Ring kernels (sub-microsecond persistent actors) require the Rust runtime directly or the ecosystem service layer.

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Installation

pip install rustkernels

From Source

Requires Rust 1.85+ and Python 3.10+.

pip install maturin
cd crates/rustkernel-python
maturin develop --features full

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Quick Start

import rustkernels

# Check version
print(rustkernels.__version__)          # "0.4.0"
print(rustkernels.ringkernel_version)   # "0.4.2"

# Create a registry (auto-populates with all enabled kernels)
reg = rustkernels.KernelRegistry()
print(f"{len(reg)} kernels available")

# Execute a batch kernel
result = reg.execute("graph/betweenness_centrality", {
    "num_nodes": 4,
    "edges": [[0, 1], [1, 2], [2, 3], [0, 3]],
    "normalized": True,
})
print(result)

# Module-level convenience (uses a cached default registry)
result = rustkernels.execute("graph/betweenness_centrality", {
    "num_nodes": 4,
    "edges": [[0, 1], [1, 2], [2, 3], [0, 3]],
    "normalized": True,
})

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API Reference

Registry

reg = rustkernels.KernelRegistry()

# Discovery
reg.kernel_ids                     # list[str] — all registered kernel IDs
reg.batch_kernel_ids               # list[str] — batch-executable kernel IDs
reg.total_count                    # int
reg.stats                          # RegistryStats

# Lookup
reg.get("graph/betweenness")       # KernelMetadata | None
reg.by_domain("GraphAnalytics")    # list[KernelMetadata]
reg.by_mode("batch")               # list[KernelMetadata]
reg.search("centrality")           # list[KernelMetadata]
"graph/betweenness" in reg         # bool
len(reg)                           # int

# Execution
result = reg.execute("graph/betweenness_centrality", {...})  # dict

Catalog

rustkernels.list_domains()         # list[DomainInfo]
rustkernels.total_kernel_count()   # 106
rustkernels.enabled_domains()      # ["graph", "ml", ...]

Data Classes

KernelMetadata — kernel identity and performance targets:

• id, mode, domain, description
• expected_throughput, target_latency_us
• requires_gpu_native, version

RegistryStats — aggregate counts:

• total, batch_kernels, ring_kernels
• by_domain (dict[str, int])

DomainInfo — domain catalog entry:

• name, description, kernel_count, feature, domain

Exceptions

All exceptions inherit from rustkernels.KernelError:

Exception	Raised When
KernelNotFoundError	Kernel ID not in registry
ValidationError	Invalid input data
SerializationError	JSON serialization/deserialization failure
ExecutionError	Kernel launch, device, or internal error
TimeoutError	Execution timeout exceeded
LicenseError	License or domain restriction
AuthorizationError	Unauthorized access
ResourceExhaustedError	Rate limit or queue full
ServiceUnavailableError	Backend unavailable

try:
    result = reg.execute("graph/betweenness_centrality", bad_input)
except rustkernels.ValidationError as e:
    print(f"Bad input: {e}")
except rustkernels.KernelError as e:
    print(f"Kernel error: {e}")

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Domain Coverage

Domain	Kernels	Examples
Graph Analytics	28	PageRank, Louvain, GNN inference, betweenness centrality
Statistical ML	17	K-Means, DBSCAN, isolation forest, SHAP values
Compliance	11	AML circular flow, sanctions screening, KYC scoring
Temporal Analysis	7	ARIMA, Prophet decomposition, change point detection
Risk Analytics	5	Monte Carlo VaR, credit scoring, stress testing
Process Intelligence	7	DFG construction, conformance checking, digital twin
Behavioral Analytics	6	Profiling, forensics, causal graph analysis
Treasury	5	Liquidity optimization, FX hedging, NSFR
Clearing	5	Multilateral netting, DVP matching, settlement
Accounting	9	Network generation, reconciliation, GAAP detection
Banking	1	Fraud pattern matching
Order Matching	1	Price-time priority order book
Payments	2	Payment processing, flow analysis
Audit	2	Feature extraction, hypergraph construction

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Feature Flags

When building from source, domain features mirror the Rust crate:

# Default (graph, ml, compliance, temporal, risk)
maturin develop

# All 14 domains
maturin develop --features full

# Selective
maturin develop --features graph,compliance,procint

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Requirements

Dependency	Version
Python	3.10+
Rust	1.85+ (build only)
RingKernel	0.4.2 (bundled)
CUDA Toolkit	12.0+ (optional; CPU fallback when unavailable)

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License

Apache License, Version 2.0. See LICENSE.