CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

The article introduces CodeGEMM, a novel approach for optimizing General Matrix Multiplication (GEMM) within quantized Large Language Models (LLMs). The focus on a codebook-centric design suggests an attempt to improve computational efficiency, likely by reducing the precision of the calculations. The use of 'quantized LLMs' indicates the research is addressing the challenge of running LLMs on resource-constrained hardware. The source being ArXiv suggests this is a preliminary research paper.

• •CodeGEMM is a new approach for optimizing GEMM in quantized LLMs.
• •The approach is codebook-centric, suggesting a focus on efficiency.
• •The research addresses the challenge of running LLMs on resource-constrained hardware.