One language, deliberate execution choices
Establish clear CPU semantics before extending to native compilation, GPUs, and larger machines.
Aner currently parses, checks, and interprets source through a C++ executable. Compiling that interpreter is distinct from compiling an Aner program. Native compilation of user programs is a later milestone.
The machine learning design proposes a shared tensor interface with explicit device placement and backend contracts. Apple GPU, NVIDIA GPU, lower precision, multicore scheduling, and distributed execution are research and engineering work ahead.
A credible evaluation must keep correctness, conversion behavior, reproducibility, and workload boundaries visible alongside performance. There are no published speedup, scaling, energy, or hardware parity results to report.
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