首页> 外文会议>Conference on Computing in High Energy and Nuclear Physics >Tier-2 Optimisation for Computational Density/Diversity and Big Data
【24h】

Tier-2 Optimisation for Computational Density/Diversity and Big Data

机译:Tier-2计算密度/多样性和大数据的优化

获取原文

摘要

As the number of cores on chip continues to trend upwards and new CPU architectures emerge, increasing CPU density and diversity presents multiple challenges to site administrators. These include scheduling for massively multi-core systems (potentially including Graphical Processing Units (GPU), integrated and dedicated) and Many Integrated Core (MIC)) to ensure a balanced throughput of jobs while preserving overall cluster throughput, as well as the increasing complexity of developing for these heterogeneous platforms, and the challenge in managing this more complex mix of resources. In addition, meeting data demands as both dataset sizes increase and as the rate of demand scales with increased computational power requires additional performance from the associated storage elements. In this report, we evaluate one emerging technology, Solid State Drive (SSD) caching for RAID controllers, with consideration to its potential to assist in meeting evolving demand. We also briefly consider the broader developing trends outlined above in order to identify issues that may develop and assess what actions should be taken in the immediate term to address those.
机译:随着芯片上的核心数量继续趋势向上,新的CPU架构出现,增加CPU密度和多样性对现场管理员提供了多种挑战。这些包括对大规模多核系统的调度(可能包括图形处理单元(GPU),集成和专用)以及许多集成核心(MIC)),以确保在保留整体集群吞吐量的同时进行均衡吞吐量,以及越来越复杂性为这些异构平台开发,以及管理这种更复杂的资源组合的挑战。此外,满足数据所需的数据,因为数据集大小增加,并且随着计算能力增加的需求率尺度需要从相关的存储元件中的额外性能。在本报告中,我们评估了一个新兴技术,为RAID控制器缓存,考虑到其潜力,以协助满足不断发展的需求。我们还简要考虑上述更广泛的发展趋势,以确定可能制定和评估应在立即应对这些行动的情况下解决方案的问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号