论文标题
评估NVIDIA的A100 Ampere GPU的性能稀疏线性代数计算
Evaluating the Performance of NVIDIA's A100 Ampere GPU for Sparse Linear Algebra Computations
论文作者
论文摘要
GPU加速器已成为科学高性能计算的重要骨干，并且通过采用新的GPU硬件而获得的性能进展非常重要。在本文中，我们首先了解NVIDIA的最新服务器系GPU，这是Ampere Generation的A100架构部分。具体而言，我们评估了其稀疏线性代数操作的性能，构成了许多科学应用的骨干，并评估了其前身的性能改进。
GPU accelerators have become an important backbone for scientific high performance computing, and the performance advances obtained from adopting new GPU hardware are significant. In this paper we take a first look at NVIDIA's newest server line GPU, the A100 architecture part of the Ampere generation. Specifically, we assess its performance for sparse linear algebra operations that form the backbone of many scientific applications and assess the performance improvements over its predecessor.
