Full Length Article: An on-chip instruction cache design with one-bit tag for low-power embedded systems

  • Authors:
  • Ji Gu;Hui Guo;Patrick Li

  • Affiliations:
  • School of Computer Science and Engineering, The University of New South Wales, Sydney 2052, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney 2052, Australia;School of Computer Science and Engineering, The University of New South Wales, Sydney 2052, Australia

  • Venue:
  • Microprocessors & Microsystems
  • Year:
  • 2011

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Abstract

On-chip instruction cache is a potential power hungry component in embedded systems due to its large chip area and high access-frequency. Aiming at reducing power consumption of the on-chip cache, we propose a Reduced One-Bit Tag Instruction Cache (ROBTIC), where the cache size is judiciously reduced and the cache tag field only contains the least significant bit of the full-tag. We develop a cache operational control scheme for ROBTIC so that with the one-bit cache tag, the program locality can still be efficiently exploited. For applications where most of the memory accesses are localized, our cache can achieve similar performance as a traditional full-tag cache; however, the power consumption of the cache can be significantly reduced due to the much smaller cache size, narrower tag array (just one bit), and tinier tag comparison circuit being used. Experiments on a set of benchmarks implemented in CMOS 180nm process technology demonstrate that our proposed design can reduce up to 27.3% dynamic power consumption and 30.9% area of the traditional cache when the cache size is fixed at 32 instructions, which outperforms the existing partial-tag based cache design. With the cache size customization, a further 47.8% power saving can be achieved. Our experimental results also show that when implemented in the deep sub-micron technologies where the leakage power is not ignorable, our design is still efficient - a coherent power saving trend (about 22%) has been observed for technologies from 130nm down to 65nm.