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：许多研究问题需要大量计算资源。 利用模拟、神经网络培训深层学习或分析海量数据进行物理过程的最新研究,都取决于是否有充足和有性能的计算资源。对于这种研究来说,获得高性能的计算基础设施是不可或缺的。这些研究领域的许多科学工作量本质上是平行的,可以受益于通用图形处理器(GPGPPUs)的数据平行结构。然而,挪威的国家基础设施缺乏GPGPPU资源。 EPIC是NTNU的GPGPPU启用的计算研究基础设施。它使NTNU的研究人员能够进行否则是不可能的实验,因为解决的时间太长。