dCUDA: Distributed GPU Computing with Hardware Overlap

"Over the last decade, CUDA and the underlying GPU hardware architecture have continuously gained popularity in various high-performance computing application domains such as climate modeling, computational chemistry, or machine learning. Despite this popularity, we lack a single coherent programming model for GPU clusters. We therefore introduce the dCUDA programming model, which implements device-side remote memory access."

The post dCUDA: Distributed GPU Computing with Hardware Overlap appeared first on insideHPC.