Modeling power and energy of the task-parallel Cholesky factorization on multicore processors
Modeling power and energy of the task-parallel Cholesky factorization on multicore processors
复制标题
多核处理器上任务并行 Cholesky 分解的功率和能量建模
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
E. Quintana
中科院分区：
文献类型：
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作者：
P. Alonso;M. F. Dolz;R. Mayo;E. Quintana
在本文中，我们介绍了一个模型，用于在多核心处理器上进行cholesky分解的总能量消耗。我们的模型假定了分解过程的任务并行执行，并通过运行时利用并发性，因为最近在SMPS，等离子体或LIBFLAME等项目中提出的那些，并将功率用法分解到其系统，静态和动态组件中。一些简单的实验提供了足够准确的实验数据（参数）来组装模型，然后可以用来估计全局算法的实际功率耗散和能量消耗。配备英特尔Xeon处理器的8核平台上的实验结果揭示了模型的精度。
In this paper we introduce a model for the total energy consumption of the Cholesky factorization on a multicore processor. Our model assumes a task-parallel execution of the factorization process, with concurrency leveraged via a run-time as those recently proposed in projects like SMPSs, PLASMA or libflame, and decomposes the power usage into its system, static and dynamic components. A few simple experiments provide experimental data (parameters) with enough accuracy to assemble the model, which can then be used to estimate the actual power dissipation and energy consumption of the global algorithm. Experimental results on an 8-core platform equipped with Intel Xeon processors reveal the precision of the model.
DOI：
10.1177/1094342010391989
发表时间：
2011-02-01
影响因子：
3.1
作者：
Dongarra, Jack;Beckman, Pete;Yelick, Kathy
通讯作者：
Yelick, Kathy