CNL
A C++ library providing fixed-precision numeric types for safer, simpler, and more efficient arithmetic in constrained environments.
What is CNL?
CNL (Compositional Numeric Library) is a C++ library that provides fixed-precision numeric classes to enhance integers for safer, simpler, and more efficient arithmetic. It solves problems in environments where floating-point units are absent or costly, or where precision is critical, such as in finance, simulations, and DSP applications.
C++ developers working in compute-constrained or energy-intensive environments, such as embedded systems, simulations, machine learning, DSP, and financial applications where precise and efficient arithmetic is essential.
Developers choose CNL for its compositional design that minimizes performance and precision loss, its header-only ease of integration, and its focus on safety and efficiency in arithmetic operations without relying on floating-point hardware.
Overview
A Compositional Numeric Library for C++
Use Cases
Best For
- Embedded systems without FPUs where fixed-point arithmetic is required
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