论文标题
GraphCore C2 C2卡的性能用于基于图像的深度学习应用：报告
Graphcore C2 Card performance for image-based deep learning application: A Report
论文作者
论文摘要
最近，GraphCore推出了一个IPU处理器，用于加速机器学习应用程序。该处理器的架构旨在在当前的机器智能模型上实现最先进的训练和推理的状态。 在本文中，我们报告了一个基准，在该基准测试中，我们评估了IPU处理器在深神经网络上的推论。我们专注于深视觉模型，例如Resnext。我们报告观察到的潜伏期，吞吐量和能源效率。
Recently, Graphcore has introduced an IPU Processor for accelerating machine learning applications. The architecture of the processor has been designed to achieve state of the art performance on current machine intelligence models for both training and inference. In this paper, we report on a benchmark in which we have evaluated the performance of IPU processors on deep neural networks for inference. We focus on deep vision models such as ResNeXt. We report the observed latency, throughput and energy efficiency.
