This rise of hardware accelerators to meet the demand of AI workloads has also led to a variety of novel methods to leverage GPUs for traditional data analytics workloads. A key concern for any data-intensive system using GPUs is the efficiency of moving the data to the accelerator. In this project, we will investigate the performance of GPU databases and how they are impacted by the different …
Supervisors: Pınar Tözün
Semester: Fall 2026
Tags: GPU databases, data analytics, data movement