The pursuit of many research questions requires massive computational resources. State-of-the-art research in physical processes using simulations, the training of neural networks for deep learning, or the analysis of big data are all dependent on the availability of sufficient and performant computational resources. For such research, access to a high-performance computing infrastructure is indispensable. Many scientific workloads from such research domains are inherently parallel and can benefit from the data-parallel architecture of general purpose graphics processing units (GPGPUs). However, GPGPU resources are scarce at Norway's national infrastructure. EPIC is a GPGPU enabled computing research infrastructure at NTNU. It enables NTNU's researchers to perform experiments that otherwise would be impossible, as time-to-solution would simply take too long.

翻译：许多研究课题的探索需要大规模的计算资源。利用模拟进行物理过程的前沿研究、深度学习神经网络的训练或大数据的分析，都依赖于充足且高性能的计算资源的可用性。对于此类研究，高性能计算基础设施的访问是不可或缺的。来自这些研究领域的许多科学计算任务本质上是并行的，能够受益于通用图形处理器（GPGPU）的数据并行架构。然而，在挪威的国家基础设施中，GPGPU资源十分稀缺。EPIC是挪威科技大学（NTNU）一个支持GPGPU的计算研究基础设施。它使得NTNU的研究人员能够进行原本无法完成的实验，因为其求解时间将过于漫长。