一种用于刮记板增强嵌入式处理器的性能模型和代码覆盖生成器

Michael A. Baker, Amrit Panda, Nikhil Ghadge, Aniruddha Kadne, Karam S. Chatha
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引用次数: 21

摘要

软件管理的刮刮板存储器(spm)通过减少所需的硬件资源,提高了嵌入式处理器的性能和功耗。性能很大程度上取决于用于将代码和数据映射到SPM的方案,但是生成最佳映射可能非常困难。在这里,我们讨论了SPM上的指令映射,并提出了一个性能模型和算法,“代码覆盖生成器”(COG),用于生成高性能动态SPM代码映射。我们的启发式方法不需要概要信息,并且适合为大型程序生成映射解决方案,否则使用先前提出的整数线性规划(ILP)技术是不可行的。我们将我们的算法与已发布的启发式算法和由IBM的Cell Broadband Engine (CBE) Synergistic Processing Unit (SPU)编译器SPU -gcc提供的代码覆盖映射算法进行了比较。我们发现,与之前的算法相比,该算法的平均性能优势为34%,相对于spu-gcc的平均性能优势为87%。我们还表明,我们的性能模型能够改进离线评估代码覆盖性能和映射选择的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A performance model and code overlay generator for scratchpad enhanced embedded processors
Software managed scratchpad memories (SPMs) provide improved performance and power in embedded processors by reducing required hardware resources. Performance depends strongly on the scheme used to map code and data onto the SPM, but generating optimal mappings can be extremely difficult. Here we address instruction mapping on SPMs and present a performance model and algorithm, “Code Overlay Generator” (COG), for producing high performance dynamic SPM code mappings. Our heuristic does not require profiling information, and is suitable for generating mapping solutions for large programs which are otherwise infeasible using previously proposed Integer Linear Programming (ILP) techniques. We compare our algorithm with a published heuristic and the code overlay mapping algorithm provided with the Cell Broadband Engine (CBE) Synergistic Processing Unit (SPU) compiler from IBM, spu-gcc. We find an average performance advantage of 34% compared to the previous algorithm, and 87% with respect to spu-gcc. We additionally show that our performance model enables improved tools for offline evaluation of code overlay performance and mapping selection.
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