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Regularity: A New Important Player in the Game of High-Performance Simulations in Manycore Era

机译:规律性:在多核时代的高性能模拟游戏中的一个新的重要人物

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The recent emergence of manycore processors with wide SIMD mechanisms brings a new important player, namely regularity, into the game of high-performance simulations to let it join other key players, parallelism and locality. Since the SIMD mechanism requires a set of operands onto which a particular operation is performed for its efficient work, a simulation code must be mainly composed of loops to access data sets and to perform arithmetic operations on them in a regular fashion in order to exploit the computation power of the mechanism. However, this requirement does not always mean that the simulation code must operate on very regular data structures, e.g., a simple structured Cartesian grid, but allows us to work on more flexible ones, such as unstructured grids and sets of objects, with some irregularity in general providing we can find small-scale regularity in them and represent it as a set of loops working on the majority regular part of the data set. This paper discusses the issues shown above with an example of our particle-in-cell (PIC) plasma simulation.
机译:最近具有广泛的SIMD机制的多核处理器的出现带来了一个新的重要播放器,即规律性,进入高性能模拟的游戏,让它加入其他关键球员,并行和局部性。由于SIMD机制需要一组操作数在其上执行特定操作的操作数,因此模拟代码必须主要由循环组成,以访问数据集并以常规方式对它们执行算术运算以便利用该机制的计算能力。但是,此要求并不总是意味着仿真代码必须在非常常规的数据结构上运行,例如,简单的结构化的笛卡尔电网,但允许我们在更灵活的载体网格上工作,例如非结构化网格和对象组,具有一些不规则性一般来说,我们可以找到它们中的小规模规律性,并将其代表为在数据集的大多数常规部分上工作的一组循环。本文讨论了上面显示的问题,其具有我们的粒子内(PIC)等离子体仿真的示例。

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