首页> 外文会议>Computer Science and Software Engineering, CSSE 2008, 2008 International Conference on >DECF: A Coarse-Grained Data-Parallel Programming Framework for Seismic Processing
【24h】

DECF: A Coarse-Grained Data-Parallel Programming Framework for Seismic Processing

机译:DECF:用于地震处理的粗粒度数据并行编程框架

获取原文

摘要

In this paper, we present a Distributed Execution Control Framework (DECF) for seismic processing. The DECF framework employs a coarse-grained data-parallel execution model within a cluster environment and achieves high throughput. The DECF schedules processing modules written as sequential programs to run simultaneously on multiple computers, or multiple CPU cores. The DECF hides the messy details of scheduling the use of computers and their CPUs, recovering from communication or computer failures, and transporting data between processing modules.We also introduce a parallel implementation of 3D Pre-stack Kirchhoff Time Migration algorithm using MPI and share the practical lessons learned from the process of designing, implementing, and maintaining it, which are of great help to the future work of the DECF.
机译:在本文中,我们提出了一种用于地震处理的分布式执行控制框架(DECF)。 DECF框架在群集环境中采用了粗粒度的数据并行执行模型,并实现了高吞吐量。 DECF计划将处理模块编写为顺序程序,以在多台计算机或多个CPU内核上同时运行。 DECF隐藏了安排计算机及其CPU使用,从通信或计算机故障中恢复以及在处理模块之间传输数据的混乱细节。我们还介绍了使用MPI并行执行3D叠前Kirchhoff时间迁移算法并共享从设计,实施和维护过程中汲取的实践经验教训,对于DECF的未来工作有很大的帮助。

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