Research
160d agoReimagining Training with Exact Quire Accumulation
The paper challenges conventional training that relies on IEEE‑754 arithmetic, arguing it inflates memory usage and erodes geometric integrity. By leveraging the Dimensional Type System and deterministic memory management, the authors propose stack‑eligible gradient allocation and exact quire accumulation.
The Signal
They also integrate Program Hypergraph invariants to preserve grades during geometric algebra operations.