论文标题
部分可观测时空混沌系统的无模型预测
Reinventing High Performance Computing: Challenges and Opportunities
论文作者
论文摘要
计算世界正在快速过渡,现在以智能手机和云服务的世界为主导,对先进的科学计算的未来产生了深远的影响。简而言之,高性能计算(HPC)处于重要的拐点。在过去的60年中,世界上最快的超级计算机几乎是在美国代表国家实验室中的科学研究中独家生产的。现在变化在风中。尽管现在的成本扩大了美国政府用于高级计算的资金的限制,但日本和中国现在是由政府授权资助的定制HPC系统中的领导者。同时,全球半导体短缺和围绕制造设施的政治战斗影响了所有人。但是,发生了另一个甚至更深层的根本变化。主要的云供应商已投资于整个规模系统的全球网络,使当今的HPC系统相形见war。在AI的计算需求的驱动下,这些云系统越来越多地使用自定义半导体构建,从而降低了传统计算供应商的财务杠杆作用。这些云系统现在正在打破游戏玩法和计算机视觉的障碍,重塑了我们如何看待科学计算的性质。建立下一代前沿HPC系统将需要通过拥抱端到端共同设计来重新思考许多基本面和历史方法;自定义硬件配置和包装;大规模的原型制作,就像三十年前一样。以及与主导的计算生态系统公司,智能手机和云计算供应商的合作伙伴关系。
The world of computing is in rapid transition, now dominated by a world of smartphones and cloud services, with profound implications for the future of advanced scientific computing. Simply put, high-performance computing (HPC) is at an important inflection point. For the last 60 years, the world's fastest supercomputers were almost exclusively produced in the United States on behalf of scientific research in the national laboratories. Change is now in the wind. While costs now stretch the limits of U.S. government funding for advanced computing, Japan and China are now leaders in the bespoke HPC systems funded by government mandates. Meanwhile, the global semiconductor shortage and political battles surrounding fabrication facilities affect everyone. However, another, perhaps even deeper, fundamental change has occurred. The major cloud vendors have invested in global networks of massive scale systems that dwarf today's HPC systems. Driven by the computing demands of AI, these cloud systems are increasingly built using custom semiconductors, reducing the financial leverage of traditional computing vendors. These cloud systems are now breaking barriers in game playing and computer vision, reshaping how we think about the nature of scientific computation. Building the next generation of leading edge HPC systems will require rethinking many fundamentals and historical approaches by embracing end-to-end co-design; custom hardware configurations and packaging; large-scale prototyping, as was common thirty years ago; and collaborative partnerships with the dominant computing ecosystem companies, smartphone, and cloud computing vendors.