在超级计算平台上加速高吞吐量密码处理

Hao Wang, Jingfei Jiang
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引用次数: 0

摘要

超级计算平台适用于加速高吞吐量计算密集型应用,由于数学计算的难度和多用户大数据量的通信,各种密码处理相关应用对计算设备的吞吐率要求非常高。为了加快高吞吐量密码处理应用的运行速度,本文提出了一种用于超级计算平台MIC的粗粒度并行加速框架。该框架不考虑算法的计算过程,而是通过将数据分配给每个计算节点来实现并行计算。该框架采用三级并行结构,即多节点、节点的多mic、mic的多线程,加速了密码处理的应用。对各种密码处理应用的实验结果表明,该框架将粗粒度并行处理应用于超级计算平台的高吞吐量密码处理应用,并获得了显著的加速效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerating High Throughput Cipher Processing on Supercomputing Platform
The supercomputing platform is suitable for the acceleration of high throughput computing intensive applications, due to the difficulty of mathematical calculation and the communication of multi-user large data volumes, the throughput rate requirement of computing equipment in various cipher processing related applications is very high. In order to accelerate the operation of the application of high throughput cipher processing, this article proposes a coarse-grained parallel acceleration framework for MIC of supercomputing platform. The framework does not take the computing process of the algorithm into account, but achieves parallel computing by assigning the data to each computing node. The framework adopts a three-level parallel structure to accelerate the application of cipher processing, namely multi-node, multi-MIC of nodes, and multi-thread of MICs. The experimental results for a variety of cipher processing applications show that the framework applies coarse-grained parallel processing to the applications of high throughput cipher processing by supercomputing platform, and obtains the significant acceleration effect.
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