论文标题
公共云中的机密高性能计算
Confidential High-Performance Computing in the Public Cloud
论文作者
论文摘要
公共云中的高性能计算（HPC）使大多数用户无法负担购买和维护的超级计算能力民主。研究人员研究了其生存能力，性能和可用性。但是，云中的HPC具有独特的功能 - 用户必须将数据和计算导出到某种不受信任的云平台。用户要么完全信任云提供商以保护各种攻击，要么内部保留敏感资产。随着云中受信任的执行环境（TEE）的最新部署，云中HPC的机密计算在解决用户的隐私问题方面变得很实际。本文讨论了威胁模型，独特的挑战，可能的解决方案和大量差距，重点是基于TEE的机密HPC计算。我们希望该讨论能够提高对HPC在云中的新主题的理解，并促进新的研究方向。
High-Performance Computing (HPC) in the public cloud democratizes the supercomputing power that most users cannot afford to purchase and maintain. Researchers have studied its viability, performance, and usability. However, HPC in the cloud has a unique feature -- users have to export data and computation to somewhat untrusted cloud platforms. Users will either fully trust cloud providers to protect from all kinds of attacks or keep sensitive assets in-house instead. With the recent deployment of the Trusted Execution Environment (TEE) in the cloud, confidential computing for HPC in the cloud is becoming practical for addressing users' privacy concerns. This paper discusses the threat models, unique challenges, possible solutions, and significant gaps, focusing on TEE-based confidential HPC computing. We hope this discussion will improve the understanding of this new topic for HPC in the cloud and promote new research directions.
