Design in Tiles: Automating GEMM Deployment on Tile-Based Many-PE Accelerators

This article likely discusses a research paper focused on optimizing the deployment of General Matrix Multiplication (GEMM) operations on specialized hardware architectures, specifically those employing a tile-based design with many processing elements (PEs). The automation aspect suggests the development of tools or techniques to simplify and improve the efficiency of this deployment process. The focus on accelerators implies a goal of improving performance for computationally intensive tasks, potentially related to machine learning or other scientific computing applications.