2020/12/16 by William Gropp, Gropp, William, Sujata Banerjee +3
Computer Science · #Artificial Intelligence (cs.AI) #Computability, Logic, AI Algorithms #Computers and Society (cs.CY) #FOS: Computer and information sciences #Performance (cs.PF)
paper · pdf · doi:10.48550/arxiv.2012.09303
openalex publication_date 2020/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.