首页> 外文期刊>Microprocessors and microsystems >Quantifying the performance and energy efficiency of advanced cache indexing for GPGPU computing
【24h】

Quantifying the performance and energy efficiency of advanced cache indexing for GPGPU computing

机译:量化用于GPGPU计算的高级缓存索引的性能和能效

获取原文
获取原文并翻译 | 示例

摘要

To achieve higher performance and energy efficiency, GPGPU architectures have recently begun to employ hardware caches. Adding caches to GPGPUs, however, does not always guarantee improved performance and energy efficiency due to the thrashing in small caches shared by thousands of threads. While prior work has proposed warp-scheduling and cache-bypassing techniques to address this issue, relatively little work has been done in the context of advanced cache indexing (ACI).
机译:为了获得更高的性能和能效,GPGPU架构最近开始采用硬件缓存。但是,由于成千上万线程共享的小型缓存的混乱,向GPGPU添加缓存并不能总是保证性能和能源效率的提高。尽管先前的工作已经提出了翘曲调度和绕过缓存的技术来解决此问题,但是在高级缓存索引(ACI)的背景下所做的工作相对较少。

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