MRI: Acquisition of Artificial Intelligence Super Computer (AISC) for Accelerating Scientific Discovery

MRI：收购人工智能超级计算机 (AISC) 以加速科学发现

• 批准号: 2117439
• 负责人: Vipin Chaudhary
• 金额: $ 69.44万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117439&HistoricalAwards=false
• 关键词: MRI; Acquisition; Artificial; Intelligence; Super

The project funds the acquisition of an Artificial Intelligence Super Computer (AISC) which will enable researchers, entrepreneurs, educators, and policymakers to leverage previously unimaginable resources to make intelligence-¬informed decisions from data. AISC will enable transformative advances in myriad scientific, engineering, and healthcare fields that rely on artificial intelligence and machine learning (AI/ML) techniques and high-performance computing (HPC) technologies. AISC will support researchers from across Case Western Reserve University and their collaborating institutions. The spectrum of research enabled by AISC can be classified into four broad themes: (i) Cyberinfrastructure (CI) and computer science; (ii) material science; (iii) engineering systems; and (iv) biomedical engineering. In addition to supporting a broad spectrum of research, the project will build a vibrant multidisciplinary community around accelerating AI/ML computing and will conduct classes, tutorials, and workshops to engage undergraduates, graduates, post-docs and faculty in computer science and discipline sciences within the local Cleveland area and nationally.AISC adopts Tensor Core graphics processing units (GPUs) with large, fast, and high bandwidth memory along with cutting edge technologies such as Non-Volatile Memory Express (NVMe) based storage, and a high-speed interconnect. AISC can be partitioned into multiple instances each fully isolated with their own high-bandwidth memory, cache, and compute cores allowing support of varying size jobs with guaranteed quality of service (QoS) for every job, optimizing utilization and thereby extending the reach of AISC to more users. Broader impacts from AISC include not only research findings and new technologies, but transfer to practice and wide dissemination of advances to broad communities beyond the CI, AI and specific scientific domains. To fully realize the project’s broader impact vision, the following activities are envisioned: (i) Build STEM talent and improve public interest in science and computing; (ii) Advance discovery and understanding while promoting teaching, training, and learning; (iii) CI workforce development that is conversant with AI; (iv) Yearly domain-specific hackathons; and (v) Broaden participation of underrepresented groups by partnering with multiple major NSF-sponsored programs.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.

该项目资助购买一台人工智能超级计算机（AISC），这将使研究人员、企业家、教育工作者和政策制定者能够利用以前难以想象的资源，从数据中做出明智的决策。AISC将在依赖人工智能和机器学习（AI/ML）技术以及高性能计算（HPC）技术的无数科学、工程和医疗保健领域实现变革性进步。AISC将支持凯斯西储大学及其合作机构的研究人员。AISC的研究范围可以分为四个主题：(i)网络基础设施（CI）和计算机科学；（ii）材料科学；（iii）工程系统；（四）生物医学工程。除了支持广泛的研究外，该项目还将围绕加速人工智能/机器学习计算建立一个充满活力的多学科社区，并将举办课程、教程和研讨会，吸引克利夫兰地区和全国范围内计算机科学和学科科学领域的本科生、毕业生、博士后和教师。AISC采用Tensor Core图形处理单元（gpu），具有大、快、高带宽的内存，以及基于非易失性存储器（NVMe）的存储等尖端技术，以及高速互连。可以将AISC划分为多个实例，每个实例都有自己的高带宽内存、缓存和计算核心完全隔离，从而支持不同大小的作业，并保证每个作业的服务质量（QoS），从而优化利用率，从而将AISC的覆盖范围扩展到更多用户。AISC的广泛影响不仅包括研究成果和新技术，还包括向实践的转移，以及向CI、AI和特定科学领域以外的广泛社区广泛传播进展。为充分实现该计划更广泛的影响，计划开展以下活动：(i)培养STEM人才，提高公众对科学和计算的兴趣；（ii）在促进教学、培训和学习的同时促进发现和理解；（iii）熟悉人工智能的CI员工发展；年度特定领域黑客马拉松；(v)通过与nsf赞助的多个主要项目合作，扩大代表性不足群体的参与。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。