首页> 外文期刊>Parallel Computing >Modeling data locality for the sparse matrix--vector product using distance measures
【24h】

Modeling data locality for the sparse matrix--vector product using distance measures

机译:使用距离量度为稀疏矩阵-向量乘积建模数据局部性

获取原文
获取原文并翻译 | 示例

摘要

In this work, we model the data locality in the execution of codes with irregular accesses. We focus on the product of a sparse matrix by a dense vector (SPM x V). In the model, locality is established taking into account pairs of rows or columns of sparse matrices. In order to evaluate this locality three functions are introduced based on two parameters: number of entry matches and number of block matches. The model is generalized considering windows of lo- cality (groups of consecutive rows/columns of the matrix). We show results for a broad set of matrices measuring the goodness of our predictions of locality.
机译:在这项工作中,我们在具有不规则访问的代码执行中对数据局部性进行建模。我们将重点放在稀疏矩阵与密集矢量(SPM x V)的乘积上。在模型中,考虑稀疏矩阵的行或列对来建立局部性。为了评估这种局部性,基于两个参数引入了三个功能:入口匹配数和块匹配数。考虑到局部窗口(矩阵的连续行/列的组),对模型进行了概括。我们显示了一组广泛的矩阵,这些矩阵测量了我们对位置预测的良好性。

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