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cs.AI2026
Breaking the 1.58-bit Barrier for Ternary LLMs
Evangelos Georganas, Alexander Heinecke, Pradeep Dubey
Ternary Large Language Models (LLM) store every weight as one of three symbols , so the cost of a ternary model is conventionally referenced to the information-theoret…
cs.DC2026
Space Filling Curves is All You Need: Communication-Avoiding Matrix Multiplication Made Simple
Evangelos Georganas, Alexander Heinecke, Pradeep Dubey
General Matrix Multiplication (GEMM) is the cornerstone of HPC workloads and Deep Learning. State-of-the-art (SOTA) vendor libraries tune tensor layouts, parallelization schemes an…