Resource Estimation of CGGI and CKKS scheme workloads on FracTLcore Computing Fabric

This project represents the intersection of advanced cryptography (FHE) and custom hardware acceleration. The defensibility is high (7) because FHE resource estimation is a non-trivial engineering challenge requiring deep knowledge of both the mathematical schemes (CKKS, CGGI) and the underlying hardware primitives (NTTs, automorphisms, and bootstrapping). While the 0-star count suggests low public 'hype,' the 11 forks in a 6-month period for a niche hardware repository are a strong signal of institutional or partner engagement. The project is specifically tied to Cornami's Mx2 fabric, creating a hardware-software moat. The primary threat is not frontier labs like OpenAI (who have little interest in the overhead of FHE currently), but rather established silicon players like Intel (via HEXL and Project TREBUCHET) or specialized FHE startups like Zama, Optalysys, and ChainReaction. The displacement horizon is long because hardware cycles and FHE standardization are slow-moving. Platform risk is medium; if NVIDIA or AWS were to release a dedicated FHE-ASIC or instruction set extension, proprietary fabric estimators like this would require immediate pivoting to remain relevant.