V.E.L.O.C.I.T.Y.-OS: JIT Math Optimizations – Division-Free and In-Place (Part 5)

Short summary

Part 5 of the V.E.L.O.C.I.T.Y.-OS series addresses JIT engine performance bottlenecks through three key optimizations: replacing HashMap variable lookups with O(1) slot-based array indexing, introducing quaternary 2-bit quantization for weight encoding, and implementing pure-bitwise GEMV kernels using hardware popcounts instead of floating-point arithmetic. These techniques reduce memory overhead and eliminate expensive operations. The approach significantly narrows the performance gap between local models and cloud-scale reasoning systems.

• •Replaces hash-based variable lookup with O(1) slot-based indexing
• •Implements quaternary 2-bit quantization for compact weight encoding
• •Uses bitwise operations and hardware popcounts for matrix multiplication instead of floating-point math

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