Category I: Bridging the Gap Between AI/ML Computing Demands and Today's Capabilities

第一类：缩小 AI/ML 计算需求与当今能力之间的差距

• 批准号: 2320345
• 负责人: William Gropp
• 金额: $ 1000万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2320345&HistoricalAwards=false
• 关键词: Category; Bridging; Gap; Between; AI

Advances in computing hardware and in artificial intelligence (AI) research have led to AI-focused systems that have transformed the landscape of computational research and of society itself. Much of today's AI research relies on access to large volumes of data and advanced computational power, which are often unavailable to researchers not located at well-resourced technology companies and universities. This divide limits the ability of researchers to leverage AI to tackle the big challenges in our society. It further constrains the diversity of researchers and the breadth of ideas incorporated into AI innovations, thereby contributing to embedded biases and other systemic inequalities found in AI systems today. The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign will deploy and operate DeltaAI, an advanced computing and data resource that will be a companion system to NCSA’s Delta system. In doing so, DeltaAI will greatly expand the AI-focused computing capacity available within the NSF-funded advanced computing ecosystem. The DeltaAI system builds upon the efforts and successes of NCSA’s Delta system in a way that is seamless and leverages the existing NSF investment in that infrastructure. This approach is achieved by deploying DeltaAI using similar system and storage hardware, and the same high-speed interconnect. A vast array of next-generation graphics processors (GPUs) delivers a technological leap in AI computing capability that will make DeltaAI the keystone in the NSF AI computing portfolio for years to come. Advanced and modern web-based interfaces will make the resource more usable by the growing community of research domains employing AI methods in their research, and significant computing capacity will make more resources available to a more diverse group of researchers.The DeltaAI system features a large and uniform pool of compute nodes that will enable advanced AI-based research, from single-node tasks to massively parallel AI codes. The system’s use of larger memory configuration GPUs will make new types of AI codes feasible that could not previously be undertaken. Taking advantage of next-generation NVIDIA graphics processors, DeltaAI builds on Delta by expanding what is already the most performant GPU computing resource in the National Science Foundation portfolio. The compute elements of DeltaAI will provide more than 300 next-generation NVIDIA graphics processors delivering over 600 petaflops of half-precision floating point computing, distributed across an advanced network interconnect for application communications and access to an innovative, flash-based storage subsystem. Expanding the capacity and performance of the Delta storage subsystem, the DeltaAI storage environment will further transform large scale data-enabled and AI-based research workloads.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

计算硬件和人工智能（AI）研究的进步导致了以AI为中心的系统，这些系统改变了计算研究和社会本身的景观。当今的大部分AI研究都依赖于获得大量数据和高级计算能力的访问，而这些数据和高级计算能力通常是不可资源的技术公司和大学的研究人员无法获得的。这种分裂限制了研究人员利用AI来应对我们社会中的重大挑战的能力。它进一步限制了研究人员的多样性以及纳入AI创新的思想的广度，从而导致了当今AI系统中发现的嵌入式偏见和其他系统不平等。伊利诺伊大学Urbana-Champaign大学的国家超级计算应用程序中心（NCSA）将部署和操作Deltaai，这是一种高级计算和数据资源，将成为NCSA Delta系统的配套系统。这样一来，Deltaai将大大扩展NSF资助的高级计算生态系统中可用的以AI为中心的计算能力。 Deltaai系统以无缝的方式基于NCSA的三角洲系统的努力和成功，并利用了该基础设施中现有的NSF投资。通过使用类似的系统和存储硬件以及相同的高速互连部署Deltaai来实现此方法。大量的下一代图形处理器（GPU）在AI计算能力方面具有技术飞跃，这将使Deltaai成为NSF AI计算机组合中的Keystone，以后几年。先进和现代的基于网络的界面将使使用AI方法在其研究中采用AI方法的不断发展的研究领域社区更有用，并且大量的计算能力将使更多的研究人员提供更多的资源。Deltaai系统具有大型且均匀的计算节点，这些计算节点将启用基于高级AI的研究，从单个NODES启用单个NODES TASS，从单个NODE任务到大规模的平行AI代码AI代码。该系统使用较大的内存配置GPU将使新型的AI代码可行，以前无法进行。利用下一代NVIDIA图形处理器，Deltaai通过扩展国家科学基金会投资组合中最出色的GPU计算资源来建立Delta。 Deltaai的计算元素将提供300多个下一代NVIDIA图形处理器，可提供600多个PETAFLOP的半精确浮点计算，分布在高级网络互连上，以用于应用程序通信，并访问创新的，基于闪光灯的存储子系统。为了扩大Delta存储子系统的能力和性能，Deltaai存储环境将进一步改变大规模的数据支持和基于AI的研究工作负载。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子的智力优点和更广泛的影响审查标准通过评估来获得的支持。