Low-cost high-performance computing via consumer GPUs

摘要

Big data and machine learning are rapidly developing fields with evolving and increasingly diverse hardware requirements. The goal of this project was to demonstrate that an enterprise-ready, Warewulf-based HPC compute cluster could support heterogeneous hardware via the integration of a GPU compute server. The benefits of this were two-fold. First, the integration of the GPU compute server into the cluster would validate its ability to support heterogeneous hardware, demonstrating that our approach to HPC cluster management is an effective long-term strategy. Second, a GPU compute server would significantly reduce the runtime of experiments, increasing the rate at which research advancements are made.