论文标题
人工智能，量子和高性能计算基础设施
Infrastructure for Artificial Intelligence, Quantum and High Performance Computing
论文作者
论文摘要
高性能计算（HPC），人工智能（AI）/机器学习（ML）和量子计算（QC）和通信为创新和对社会的影响提供了巨大的机会。这些领域的研究人员取决于获得计算基础架构的访问，但是这些资源供应较短，通常被孤立地支持其研究社区，从而使进行收敛和跨学科研究变得更加困难。这样的研究越来越取决于每个阶段需要不同资源的复杂工作流程。本文认为，一种更悠闲的计算基础架构方法，即认识到某些功能的收敛性和新计算方法的互补功能，无论是商业云到量子计算，都需要支持计算机科学研究。
High Performance Computing (HPC), Artificial Intelligence (AI)/Machine Learning (ML), and Quantum Computing (QC) and communications offer immense opportunities for innovation and impact on society. Researchers in these areas depend on access to computing infrastructure, but these resources are in short supply and are typically siloed in support of their research communities, making it more difficult to pursue convergent and interdisciplinary research. Such research increasingly depends on complex workflows that require different resources for each stage. This paper argues that a more-holistic approach to computing infrastructure, one that recognizes both the convergence of some capabilities and the complementary capabilities from new computing approaches, be it commercial cloud to Quantum Computing, is needed to support computer science research.
