uhcr 5.0.0

Universal Hardware-Aware Compute Runtime — a modular, capability-driven execution stack

UHCR

A Python framework for hardware-optimized computation with JIT compilation across x86_64

Full documentation{https://vishveshjoshi89.github.io/UHCR-DOCS/}

Install

pip install uhcr

Quick Example

import uhcr

@uhcr.jit(eager=True)
def compute(a, b):
    return (a + b) * 2

Features

• JIT Compilation - Traces Python functions and compiles to native machine code
• CUDA Backend - GPU acceleration via PTX JIT for NVIDIA hardware
• Optimization Pipeline - Constant folding, dead code elimination, strength reduction, CSE
• Hardware Detection - Automatic CPUID, GPU probe, and NUMA topology discovery
• Storage Optimization - High-performance memory pooling and hierarchical caching
• Plugin System - Extend with custom backends, kernels, and passes via TOML manifests
• Tensor API - High-level tensor operations dispatched to the optimal backend
• Built-in Benchmarks - Performance measurement suite for comparing execution paths

License

Apache-2.0