$ show joaoleal/CppADCodeGen
CppADCodeGen is a C++ library that extends the CppAD algorithmic differentiation (AD) framework to generate stand-alone C/C++ source code for evaluating functions and their derivatives (Jacobians, Hessians). It converts a CppAD operation tape into a computation graph and then emits efficient, compilable code via multiple backends: C, LaTeX, MathML, and DOT. The generated code can be compiled into dynamic libraries at runtime (Linux) or JIT-compiled using Clang/LLVM, enabling high-performance derivative computation in production environments. The library also includes a suite of algorithms for differential-algebraic equation (DAE) index reduction (Pantelides, Soares-Secchi, dummy derivatives), pattern detection for loop optimization, sparse derivative computation, and a thread pool for parallel evaluation. It is heavily used in scientific computing, simulation, and optimization contexts (e.g., chemical engineering models). The codebase is a header-only template library with optional runtime compilation components, distributed under dual EPL-1.0 and GPL-3.0 licenses.
The LLM identified 3 files worth highlighting for reuse:
A self-contained C implementation of a thread pool with static, dynamic, and guided scheduling strategies. It manages a fixed number of worker threads, task queues, and synchronization via pthreads. This file has no internal dependencies on the rest of CppADCodeGen, making it directly reusable in any C or C++ project requiring parallel task execution. It demonstrates careful handling of thread safety, work stealing, and graceful shutdown.
Implements a bipartite graph data structure used for DAE index reduction via Pantelides' algorithm. It supports adding equation and variable nodes, creating edges based on variable occurrence, performing matching to find the structural index, and generating differentiated equations. Although it relies on internal types (DaeEquationInfo, DaeVarInfo), the core bipartite graph logic (nodes, edges, augmenting path) is well-isolated and could be extracted for other matching or assignment problems. The implementation uses efficient adjacency lists and iterative depth-first search.
A RAII-based job timer that records elapsed wall-clock or CPU time and reports to a callback listener. It is thread-safe and designed for profiling compilation steps (code generation, compilation, model loading). The timer is a standalone utility with minimal dependencies (chrono, listener interface) and can be reused in any C++ project needing fine-grained performance measurement. It demonstrates clean separation of concerns between measurement and reporting.