2 papers
cs.AR2025
Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads
Doru Thom Popovici, Mario Vega, Angelos Ioannou +6
Developing efficient hardware accelerators for mathematical kernels used in scientific applications and machine learning has traditionally been a labor-intensive task. These accele…
cs.MS2016
BoxLib with Tiling: An AMR Software Framework
Weiqun Zhang, Ann Almgren, Marcus Day +3
In this paper we introduce a block-structured adaptive mesh refinement (AMR) software framework that incorporates tiling, a well-known loop transformation. Because the multiscale,…