• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>OCEANS 2011 >Accelerating underwater acoustic propagation modeling using general purpose graphic processing units
【24h】

Accelerating underwater acoustic propagation modeling using general purpose graphic processing units

机译：使用通用图形处理单元加速水下声传播建模

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The quest for raw computing power has shifted from increasing processor clock speeds to increasing the number of processing cores. Currently, mainstream CPUs can be purchased in dual-slot quad-core and hex-core configurations. On the other hand, graphic cards provide hundreds of processing cores. Although there have been various implementations of scientific applications on graphics hardware, including underwater acoustic modeling, widespread use of this technology has been hampered by the often extraordinary effort needed to program this hardware, especially if the application architecture did not match the canonical graphics pipeline for gaming. In the last few years, the major graphics board manufacturers have stepped away from designing hardware specialized for particular new graphic special effects and made a concerted effort to provide general-purpose computing capabilities, of the sort that can be exploited for scientific computing. For example, Nvidia's CUDA environment currently provides many building blocks for scientific computing, such as (subsets of) BLAS, LAPACK, and FFTs.
机译：对原始计算能力的追求已从提高处理器时钟速度转变为增加处理内核数量。当前，可以在双插槽四核和十六进制配置中购买主流CPU。另一方面，图形卡提供了数百个处理核心。尽管在图形硬件上已经实现了多种科学应用，包括水下声学建模，但是对该技术进行编程通常需要付出极大的努力，因此该技术的广泛使用受到了阻碍，尤其是在应用程序体系结构与标准图形流水线不匹配的情况下。赌博。在过去的几年中，主要的图形卡制造商已放弃设计专门用于特殊新图形特殊效果的硬件，并共同努力提供通用计算能力，这种能力可用于科学计算。例如，Nvidia的CUDA环境当前提供了许多用于科学计算的构件，例如BLAS，LAPACK和FFT（子集）。

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