O-structures: semantics for versioned memory

Eran Gilad, E. W. Mackay, M. Oskin, Yoav Etsion
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引用次数: 2

Abstract

This paper introduces O-structures, a novel architectural memory element that can be used to facilitate parallelism in task-based execution models. Much like register renaming, each write to an O-structure creates a new version of program memory at that location. These versions can be accessed concurrently and out of program order. O-structures provide a set of semantics that match the needs of task-based execution models, specifically allowing tasks to synchronize on specific versions of memory as well as coordinate access when the necessary version is not known at compile time. In this work, we describe O-structures and provide their complete semantics. We also discuss how a task-based execution of basic data structure manipulations on common data structures (arrays, lists, trees, etc) operate. Results are presented that measure the exposed memory-level parallelism (MLP) in these operations. We find that for previously difficult to parallelize data-structures, such as linked lists, binary trees and sparse-matrix codes we see significant memory level parallelism (50--100 operations per cycle) when using O-structures.
结构:版本化内存的语义
本文介绍了o结构,这是一种新的架构内存元素,可用于促进基于任务的执行模型中的并行性。与寄存器重命名非常相似,每次写入o结构都会在该位置创建一个新版本的程序内存。这些版本可以并发访问,也可以按程序顺序访问。o结构提供了一组符合基于任务的执行模型需求的语义,特别是允许任务在特定版本的内存上同步,以及在编译时不知道必要版本时进行协调访问。在这项工作中,我们描述了o结构并提供了它们的完整语义。我们还讨论了如何在常见数据结构(数组、列表、树等)上执行基于任务的基本数据结构操作。给出了测量这些操作中暴露的内存级并行性(MLP)的结果。我们发现,对于以前难以并行化的数据结构,如链表、二叉树和稀疏矩阵代码,当使用o结构时,我们看到了显著的内存级并行性(每个周期50—100个操作)。
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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