• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Neuroinformatics >Improving the Execution Performance of FreeSurfer A New Scheduled Pipeline Scheme for Optimizing the Use of CPU and GPU Resources
【24h】

Improving the Execution Performance of FreeSurfer A New Scheduled Pipeline Scheme for Optimizing the Use of CPU and GPU Resources

机译：改善FreeSurfer的执行性能一种新的计划管道方案，用于优化CPU和GPU资源的使用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A scheme to significantly speed up the processing of MRI with FreeSurfer (FS) is presented. The scheme is aimed at maximizing the productivity (number of subjects processed per unit time) for the use case of research projects with datasets involving many acquisitions. The scheme combines the already existing GPU-accelerated version of the FS workflow with a task-level parallel scheme supervised by a resource scheduler. This allows for an optimum utilization of the computational power of a given hardware platform while avoiding problems with shortages of platform resources. The scheme can be executed on a wide variety of platforms, as its implementation only involves the script that orchestrates the execution of the workflow components and the FS code itself requires nomodifications. The scheme has been implemented and tested on a commodity platform within the reach of most research groups (a personal computer with four cores and an NVIDIA GeForce 480 GTX graphics card). Using the scheduled task-level parallel scheme, a productivity above 0.6 subjects per hour is achieved on the test platform, corresponding to a speedup of over six times compared to the default CPU-only serial FS workflow.
机译：提出了一种使用FreeSurfer（FS）显着加快MRI处理速度的方案。该计划旨在最大程度提高研究项目用例的生产率（每单位时间处理的主题数），该研究项目的数据集涉及许多采集。该方案将FS工作流程的现有GPU加速版本与资源调度程序监督的任务级并行方案结合在一起。这允许最佳利用给定硬件平台的计算能力，同时避免平台资源短缺的问题。该方案可以在多种平台上执行，因为其实现仅涉及协调工作流组件执行的脚本，并且FS代码本身需要进行修改。该方案已经在大多数研究小组力所能及的商品平台上（具有四核的个人计算机和NVIDIA GeForce 480 GTX图形卡）实现并测试。使用计划的任务级并行方案，在测试平台上每小时可以达到0.6主题以上的生产率，与默认的仅CPU串行FS工作流相比，速度提高了六倍以上。

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