JADE: Joint Academic Data science Endeavour - 2

该提案汇集了19所大学，包括16所新成立的UKRI人工智能CDTs中的12所。在牛津大学的领导下，在艾伦图灵研究所（图灵），巴斯，布里斯托，剑桥，埃克塞特，帝国，KCL，利兹，拉夫堡，纽卡斯尔，QMUL，谢菲尔德，南安普顿，萨里，苏塞克斯，UCL，沃里克和约克的支持下，我们的提案旨在建立JADE Tier 2设施的成功。目前的JADE设施代表了一个独特的国家资源，为人工智能/机器学习（AI/ML）和分子动力学（MD）研究领域的世界领先专家提供最先进的GPU计算设施。除了提供领先的计算资源外，JADE设施还提供了一个核心，围绕这个核心，全国人工智能研究人员联盟已经形成，使其成为人工智能研究的事实上的国家计算设施。通过为这些社区提供急需的共享资源，JADE还提供了世界领先科学的杰出水平，这在2018年9月11日提交给EPSRC的22页初步案例研究中得到了证明。JADE 2将在这些成功的基础上，为这些社区提供更强的计算能力，并提供更强大、更可靠的服务，以解决从初始服务中吸取的经验教训。JADE 2的架构将类似于JADE，基于NVIDIA的DGX平台。JADE由22个DGX 1V节点组成。JADE 2将是JADE的两倍多，并采用更具成本效益的DGX 1 Max Q平台。Max Q和DGX 1V的区别主要集中在GPU内存带宽略有减少，峰值计算性能较低。在这些平台上进行的相关代码测试表明，对于AI/ML和分子动力学，Max Q至少达到3/4的性能，使用2/3的功率，价格为1/2。该系统将作为一个国家设施运行，通过一个轻量级的资源分配小组（RAP）向所有学术用户提供免费访问。HECBioSim将为MD用户运行RAP，ATI将为AI/ML用户运行相应的RAP。

This proposal brings together 19 universities, including 12 out of 16 newly established UKRI CDTs in Artificial Intelligence. Led by the University of Oxford, with support from the Alan Turing Institute (Turing), Bath, Bristol, Cambridge, Exeter, Imperial, KCL, Leeds, Loughborough, Newcastle, QMUL, Sheffield, Southampton, Surrey, Sussex, UCL, Warwick and York, our proposal aims to build on the success of the JADE Tier 2 facility. The current JADE facility represents a unique national resource providing state of the art GPU computing facilities to world leading experts in the areas of Artificial Intelligence/Machine Learning (AI/ML) and molecular dynamics (MD) research. In addition to providing a leading compute resource, the JADE facility has also provided a nucleus around which a national consortium of AI researchers has formed, making it the de facto national compute facility for AI research. By providing a much-needed shared resource to these communities, JADE has also delivered an outstanding level of world leading science, evidenced in the twenty two pages of preliminary case studies submitted to EPSRC on 11/09/18. JADE2 will build upon these successes by providing increased computational capabilities to these communities and delivering a stronger, more robust service to address the lessons learned from the initial service. The architecture for JADE2 will be a similar to that of JADE, based on NVIDIA's DGX platform. JADE is formed from 22x DGX1V nodes. JADE2 will be over twice the size of JADE and employ the more cost effective DGX1 Max Q platform. Differences between Max Q and the premium DGX1V are centred on on a slightly reduced bandwidth to GPU memory and lower peak compute performance.Tests of relevant codes on these platforms show that, for AI/ML and Molecular Dynamics, Max Q achieves at least 3/4 performance, using 2/3 the power for 1/2 of the price. The system will be run as a national facility, providing free access to all academic users through a lightweight Resource Allocation Panel (RAP). HECBioSim will run the RAP for MD users, ATI will run the corresponding RAP for AI/ML users.