ASAP:高级合成中动态内存堆的自动大小和分区

Nicholas V. Giamblanco, J. Anderson
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引用次数: 6

摘要

动态内存分配技术(malloc()和free())的高效高级综合(HLS)将具有运行时变化内存需求的算法的编译简化为硬件设计。现有的HLS内存分配框架通常会降低性能和面积,同时引入更多的参数来优化(例如堆深度,对程序逻辑的堆分配)。我们通过ASAP(自动调整大小和分区)解决了这些问题,ASAP是HLS工具的动态内存分配框架。ASAP提供(1)通过动态分析应用程序自动选择堆深度,(2)通过静态分析自动堆分区,提供从程序逻辑到内存的并行性,从而提高性能。我们证明,与非堆分区设计相比,ASAP能够提高性能并减少周期延迟,当应用于普通内存模式时,速度提高了约5倍,当应用于一套动态内存密集型应用程序时,速度提高了约2倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ASAP: Automatic Sizing and Partitioning for Dynamic Memory Heaps in High-Level Synthesis
Efficient high-level synthesis (HLS) of dynamic memory allocation techniques (malloc() and free()) simplifies the compilation of algorithms with runtime-varying memory requirements to hardware designs. Existing HLS memory allocation frameworks often degrade performance and area, while simultaneously introducing even more parameters to optimize (e.g. heap depth, heap assignments to program logic). We address these concerns with ASAP (Automatic Sizing and Partitioning),a dynamic memory allocation framework for HLS tools. ASAP provides (1) automatic heap depth selection through dynamic analysis of an application, (2) automatic heap partitioning (through static analysis) to provide parallelism from program logic to memory, improving performance. We demonstrate that ASAP is able to improve performance and reduce cycle latencies compared with non-heap-partitioned designs, with speed-ups up to ~ 5× when applied to common memory patterns, and up to ~ 2× improvement when applied to a suite of dynamic-memory intensive applications.
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