快速、准最优和流水线指令集扩展

A. K. Verma, P. Brisk, P. Ienne
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引用次数: 14

摘要

如今,许多定制嵌入式处理器通过使用特定于应用程序的功能单元(afu)来实现应用程序,从而提供了加速应用程序的可能性。但是,AFU与处理器寄存器文件之间的读写端口必须满足一定的限制。由于这些限制,afu的大小和复杂性仍然很小。然而,最近在通过序列化寄存器文件访问(即通过允许多周期读写)来放松寄存器文件端口限制方面已经做了一些工作。这使得选择最佳AFU的问题变得更加复杂。大多数以前的方法使用两个阶段的过程来解决这个问题,即,首先在一些更高的I/O约束下选择afu,然后在实际的寄存器文件端口约束下序列化它们。这些方法不仅复杂,而且会导致次优解。本文将AFU选择问题表述为一个整数线性规划问题,并对其进行最优求解。我们通过实验证明,与最先进的技术相比,我们的方法产生了明显更好的结果。
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Fast, quasi-optimal, and pipelined instruction-set extensions
Nowadays many customised embedded processors offer the possibility of speeding up an application by implementing it using application-specific functional units (AFUs). However, the AFUs must satisfy certain constraints in terms of read and write ports between AFU and processor register file. Due to these restrictions the size and complexity of AFUs remain small. However, in recent some work has been done on relaxing the register file port constraints by serialising register file access (i.e., by allowing multi cycle read and write). This makes the problem of selecting best AFU significantly more complex. Most previous approaches use a two staged process to solve this problem, i.e., first selecting AFUs under some higher I/O constraints and then serialise them under the actual register file port constraints. Not only these methods are complex but also lead to suboptimal solutions. In this paper we formulate the AFU selection problem as an integer linear programming and solve it optimally. We show experimentally that our methodology produces significantly better results compared to state of art techniques.
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