京都大学的 HPC 资源为日本研究界提供动力
技术
- 分析与建模 - 机器学习
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 电网
- 设备与机械
适用功能
- 产品研发
用例
- 库存管理
- 智慧校园
服务
- 系统集成
关于客户
京都大学是日本规模最大、排名最高的大学之一，拥有 150 年为日本乃至全球提供重要学术和科学资源的传统。其计算和媒体研究学术中心 (ACCMS) 为全国各地的研究人员提供高性能计算 (HPC) 工具。该大学支持自然科学、经济学、空间科学、遗传学和土木工程等广泛领域的研究。京都大学拥有 200 多个团队和 1,600 多名用户依赖其计算资源（约 60% 位于大学之外），肩负着一项影响全球的重要使命。
挑战
京都大学是日本规模最大、排名最高的大学之一，其使命是为全国的研究人员提供高性能计算 (HPC) 工具。该大学拥有 200 多个团队和 1,600 多个用户，依靠其计算资源，支持自然科学、经济学、空间科学、遗传学和土木工程等广泛领域的研究。然而，海量数据的增长和对计算能力的需求意味着 HPC 始终在不断发展，京都大学计算和媒体研究学术中心 (ACCMS) 也需要随之发展。为了提升其 HPC 能力，该团队委托 Hewlett Packard Enterprise 公司 Cray 提供三个超级计算系统。这些系统的工作负载管理由 Altair PBS Professional™（Altair PBS Works™ 套件的一部分）精心策划。
解决方案
当 Cray 安装了 Cray® XC™“Camphor 2”超级计算机和两个 Cray® CS™系统“Laurel 2”和“Cinnamon 2”后，该大学的超级计算能力得到了提升。所有三个系统都安装了 PBS Professional，大学还添加了 Cray® DataWarp™ 应用程序 I/O 加速器，并通过 Altair 进行透明缓存模式集成。 Camphor 2 包括 Cray 设计的 Aries™ 互连和超过 5 petaflops 的峰值性能。定制和定制开发是该解决方案的关键功能。 Altair 进行自定义编码以实现服务级别协议 (SLA)，并且在安装超级计算系统后，开发了一个节点分配器，该分配器与调度程序结合使用，以找到调度作业的最佳时间和地点。京都大学超级计算生态系统旨在处理各种工作负载，其中许多工作负载需要大量内存的操作和高度并行的矢量化代码。
运营影响
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