We recognize the emergence of a statistical computing community focused on working with large computing platforms and producing software and applications that exemplify high-performance statistical computing (HPSC). The statistical computing (SC) community develops software that is widely used across disciplines. However, it remains largely absent from the high-performance computing (HPC) landscape, particularly on platforms such as those featured on the Top500 or Green500 lists. Many disciplines already participate in HPC, mostly centered around simulation science, although data-focused efforts under the artificial intelligence (AI) label are gaining popularity. Bridging this gap requires both community adaptation and technical innovation to align statistical methods with modern HPC technologies. We can accelerate progress in fast and scalable statistical applications by building strong connections between the SC and HPC communities. We present a brief history of SC, a vision for how its strengths can contribute to statistical science in the HPC environment (such as HPSC), the challenges that remain, and the opportunities currently available, culminating in a possible roadmap toward a thriving HPSC community.

翻译：我们注意到一个专注于大型计算平台并致力于开发体现高性能统计计算（HPSC）的软件与应用的新型统计计算社区正在兴起。统计计算（SC）社区开发的软件在各学科领域得到广泛应用，然而其在高性能计算（HPC）领域，尤其是在Top500或Green500榜单所列平台上，仍基本处于缺席状态。许多学科已参与到以模拟科学为核心的HPC中，而人工智能（AI）标签下以数据为中心的研究也日益普及。弥合这一差距需要社区适应与技术创新的双重努力，以使统计方法与现代HPC技术相协调。通过在SC与HPC社区间建立紧密联系，我们可以加速快速可扩展统计应用的发展。本文简要回顾了SC的发展历程，展望了其在HPC环境（如HPSC）中推动统计科学的潜力，分析了当前面临的挑战与现有机遇，并最终提出了一条促进HPSC社区蓬勃发展的可能路线图。