The barracuda design pattern (in Portuguese)

Thiago Bonfim, Jesse Nery Filho, R. Ramos, M. Boratto
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Abstract

The High Performance Computing has achieved a high level in terms of processing capacity at reduced cost using Graphics Processing Units to perform algorithms of high computing cost. The massively parallel systems based on GPU have to deal with hundreds of processing cores embedded in a single chip, leading to exceptional computing gains. The CUDA (Computing Unified Device Architecture) is a computing architeture of general purposes that uses paralel computing in GPUs to solve high cost computing problems in less time when compared to its execution in CPU (Central Process Unit). The Barracuda Design Pattern supplies a layer of abstraction to the application of massively parallel solutions using CUDA which is easier to handle and similar to the other layers found in existing API's (Application Programming Interface) which are regularly used by programmers that use High Performance Computing.
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梭鱼图案(葡萄牙语)
高性能计算利用图形处理单元来执行高计算成本的算法,在低成本的处理能力方面达到了很高的水平。基于GPU的大规模并行系统必须处理嵌入在单个芯片中的数百个处理内核,从而获得非凡的计算增益。CUDA(计算统一设备架构)是一种通用的计算架构,它使用gpu中的并行计算来解决高成本计算问题,与CPU(中央处理单元)相比,在更短的时间内执行。Barracuda设计模式为使用CUDA的大规模并行解决方案的应用程序提供了一个抽象层,它更容易处理,类似于使用高性能计算的程序员经常使用的现有API(应用程序编程接口)中的其他层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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