Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling
Larisa Stoltzfus, Murali Krishna Emani, Pei‐Hung Lin, Chunhua Liao · 2018
Modern supercomputers often use Graphic Processing Units (or GPUs) to meet the ever-growing demands for high performance computing. GPUs typically have a complex memory architecture with various types of memories and caches, such as global memory, shared memory, constant memory, and texture memory. The placement of data on these memories has a tremendous impact on the performance of the HPC applications and identifying the optimal placement location is non-trivial.