NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure — mentioned by peter_d_sherman

Thu, 20 Aug 2026 19:03:30 GMT

This article (comparing the x86 AVX-512F instruction VPTERNLOGD to Amiga's Blitter) is not the end of the discussion for this instruction, it's actually the beginning... See, VPTERNLOGD is a ternary bitwise instruction. In theory, that means that it could (in theory, temporarily ignoring other factors like streaming, parallelism, memory access speed, etc.) replace the Matrix Multiply (aka "MatMul") component of LLM's, if, if and only if the weights in an LLM are changed to ternary (-1,0,1)... Matrix Multiply is at the core of all GPU's and AI accelerators -- so alternatives to it, such as…

Paper and discussion history. A mention is not an endorsement.

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure · HackerPapers discussions

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure — mentioned by peter_d_sherman