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…