Software-based instruction caching for embedded processors

Author:

Miller Jason E.1,Agarwal Anant1

Affiliation:

1. Massachusetts Institute of Technology

Abstract

While hardware instruction caches are present in virtually all general-purpose and high-performance microprocessors today, many embedded processors use SRAM or scratchpad memories instead. These are simple array memory structures that are directly addressed and explicitly managed by software. Compared to hardware caches of the same data capacity, they are smaller, have shorter access times and consume less energy per access. Access times are also easier to predict with simple memories since there is no possibility of a "miss." On the other hand, they are more difficult for the programmer to use since they are not automatically managed.In this paper, we present a software system that allows all or part of an SRAM or scratchpad memory to be automatically managed as a cache. This system provides the programming convenience of a cache for processors that lack dedicated caching hardware. It has been implemented for an actual processor and runs on real hardware. Our results show that a software-based instruction cache can be built that provides performance within 10% of a traditional hardware cache on many benchmarks while using a cheaper, simpler, SRAM memory. On these same benchmarks, energy consumption is up to 3% lower than it would be using a hardware cache.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RSMCC: Enabling Ring-based Software Managed Cache-Coherent Embedded SoCs;2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2020-03

2. Active Memory Cube: A processing-in-memory architecture for exascale systems;IBM Journal of Research and Development;2015-03

3. A Novel Object-Oriented Software Cache for Scratchpad-Based Multi-Core Clusters;Journal of Signal Processing Systems;2014-06-06

4. Adaptive Low-Power Architecture for High-Performance and Reliable Embedded Computing;2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks;2014-06

5. Enabling dynamic binary translation in embedded systems with scratchpad memory;ACM Transactions on Embedded Computing Systems;2012-12

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