动态参数获取数据流架构中的并行函数调用

G. Gao, H. Hum, Y. Wong
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引用次数: 15

摘要

概述了基于参数获取数据流原理的动态数据流体系结构的基本结构。特别地,作者提出了一种基于参数获取原则的精细并行函数调用方案。它们通过为每个并行函数调用关联一帧连续内存空间(称为函数覆盖)来扩展静态体系结构,并使用其覆盖的基址标识每个调用实例。该方案通过有效地利用参数获取数据流原理提供的功能,即指令调度机制和指令执行的分离,从而提高了效率。为了处理功能应用程序和内存管理,提议的体系结构将有一个与流水线执行单元分开的内存覆盖管理器。为了验证该设计,将一组标准基准程序映射到新架构上,并在实验通用数据流架构仿真试验台上执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel function invocation in a dynamic argument-fetching dataflow architecture
The basic structure of a dynamic data-flow architecture based on the argument-fetching data-flow principle is outlined. In particular, the authors present a scheme to exploit fine-grain parallelism in function invocation based on the argument-fetching principle. They extend the static architecture by associating a frame of consecutive memory space for each parallel function invocation, called a function overlay, and identify each invocation instance with the base address of its overlay. The scheme gains efficiency by making effective use of the power provided by the argument-fetching data-flow principle: the separation of the instruction scheduling mechanism and the instruction execution. To handle function applications and memory management, the proposed architecture will have a memory overlay manager that is separate from the pipelined execution unit. To verify the design, a set of standard benchmark programs was mapped onto the new architecture and executed on an experimental general-purpose data-flow architecture simulation testbed.<>
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