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The Experience of GPU Calculations at Lunarc

机译：Lunarc GPU计算的经验

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To meet the ever increasing demand for computational speed and use of ever larger datasets, multi GPU installations look very tempting. Lunarc and the Theoretical Astrophysics group at Lund Observatory collaborate on a pilot project to evaluate and utilize inulti-GPU architectures for scientific calculations. Starting with a small workshop in 2009, continued investigations eventually lead to the procurement of the GPU-resource Timaeus, which is a four-node eight-GPU cluster with two Nvidia m2050 GPU-cards per node. The resource is housed within the larger cluster Platon and share disk-, network- and system resources with that cluster. The inauguration of Timaeus coincided with the meeting "Computational Physics with GPUs" in November 2010, hosted by the Theoretical Astrophysics group at Lund Observatory. The meeting comprised of a two-day workshop on GPU-computing and a two-day science meeting on using GPUs as a tool for computational physics research, with a particular focus on astrophysics and computational biology. Today Timaeus is used by research groups from Lund, Stockholm arid Lule in fields ranging from Astrophysics to Molecular Chemistry. We are investigating the use of GPUs with commercial software packages and user supplied MPI-enabled codes. Looking ahead, Lunarc will be installing a new cluster during the summer of 2011 which will have a small number of GPU-enabled nodes that will enable us to continue working with the combination of parallel codes and GPU-computing. It is clear that the combination of GPUs/CPUs is becoming an important part of high performance computing and here we will describe what has been done at Lunarc regarding GPU-coinputations and how we will continue to investigate the new and coming inulti-GPU servers and how they can be utilized in our environment.
机译：为了满足对计算速度和使用更大数据集的不断增长的需求，安装多GPU看起来很诱人。 Lunarc和隆德天文台的理论天体物理学小组合作进行了一个试点项目，以评估并利用inulti-GPU架构进行科学计算。从2009年的一个小型研讨会开始，不断的研究最终导致了GPU资源Timaeu​​s的采购，该Timaeu​​s是一个四节点的八GPU集群，每个节点有两个Nvidia m2050 GPU卡。该资源位于较大的群集Platon中，并与该群集共享磁盘，网络和系统资源。 Timaeu​​s的就职典礼恰逢2010年11月由隆德天文台理论天体物理学小组主办的“具有GPU的计算物理”会议。会议包括为期两天的GPU计算讲习班和为期两天的科学会议，内容涉及使用GPU作为计算物理研究的工具，特别关注天体物理学和计算生物学。如今，蒂迈厄斯已被来自斯德哥尔摩，隆德和吕勒的隆德研究小组所使用，涉及的领域从天体物理学到分子化学。我们正在研究将GPU与商业软件包以及用户提供的MPI支持代码一起使用的情况。展望未来，Lunarc将在2011年夏季安装一个新集群，其中将包含少量启用GPU的节点，这将使我们能够继续使用并行代码和GPU计算的组合。显然，GPU / CPU的组合已成为高性能计算的重要组成部分，在这里我们将描述在Lunarc上有关GPU共输入的工作，以及我们将如何继续研究新的和即将推出的inulti-GPU服务器，以及如何在我们的环境中利用它们。

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