[Feat/Perf]: Implement Vectorized SIMD (AVX-512) Assembly Routines inside state_sync.go for Line-Rate Payload Parsing

Problem

Multi-node state synchronization loops process millions of state checkpoints arrays concurrently. Even with optimized compact protocols (like Msgpack), parsing byte streams linearly inside the Go runtime still causes CPU instruction blocks pipeline stalls, bounding serialization speed to standard software layer bounds.

Proposed Solution

Build a high-performance Vectorized Deserialization Engine within internal/storage/state_sync.go using native Go assembly rules matching modern Intel/AMD AVX-512 (Single Instruction, Multiple Data) vector structures.

• Write native Go assembly scripts (.s format architectures) that utilize 512-bit vector registers to load and manipulate multiple memory byte arrays chunks in a single hardware CPU instruction clock cycle.
• Process string parsing filters, token payload hashes verification, and length delimiters concurrently across vector channels, bypassing standard loops entirely.

Alternatives

• Relying on automated native compiler loop unrolling, which handles basic optimization steps but fails to leverage raw underlying processor hardware layouts efficiently.

Use Case

Increases data encoding speed parameters by over 8x, ensuring that state replication blocks match physical bare-metal hardware line-rate speed constraints.

Additional Notes

Must implement automated structural CPU hardware feature flag checks (cpu.HasAVX512) during runtime initialization to guarantee clean fallback paths on generic infrastructure nodes.

Start by reading internal/storage/state_sync.go to understand the existing state synchronization and parsing path. Then research the repository's Go assembly conventions and the proposed cpu.HasAVX512 runtime checks. Done means AVX-512 parsing routines are integrated with safe fallback behavior on CPUs without the required feature.