K. Bowman, A. Park, V. Narayanan, Francois Atallah, A. Artieri, S. Yoon, Kendrick Yuen, David Hansquine
{"title":"权衡片上系统(SoC)处理器中缓存最小电源电压降低的片上可观察性","authors":"K. Bowman, A. Park, V. Narayanan, Francois Atallah, A. Artieri, S. Yoon, Kendrick Yuen, David Hansquine","doi":"10.1109/TEST.2014.7035322","DOIUrl":null,"url":null,"abstract":"Circuit techniques for reducing the minimum supply voltage (V MIN ) of last-level and intermediate static random-access memory (SRAM) caches enhance processor energy efficiency. For the first time at a 16nm technology node, projections of a high-density 6-transistor SRAM bit cell indicate that the VMIN of a 4Mb or larger cache exceeds the maximum supply voltage (V MAX ) for reliability. Thus, circuit techniques for cache VMIN reduction are transitioning from an energy-efficient solution to a requirement for cache functionality. Traditionally, error-correcting codes (ECC) such as single-error correction, double-error detection (SECDED) aim to protect the cache operation from radiation-induced soft errors. Moreover, during the qualification of a system-on-chip (SoC) processor, test engineers monitor the rate of correctable cache errors from SECDED for observing the on-die interactions between integrated components (e.g., CPU, GPU, DSP, etc.). This presentation highlights the opportunity to exploit ECC for reducing the cache V MIN while simultaneously providing coverage for radiation-induced soft errors. Silicon test-chip measurements from a 7Mb data cache in a 20nm technology demonstrate a V MIN reduction of 19% from SECDED. In addition, silicon measurements provide a salient insight in that only 0.12% of the cache words contain an error when operating at the cache V MIN with SECDED. Therefore, SECDED improves V MIN by 19% while maintaining 99.88% coverage for radiation-induced soft errors. In applying SECDED for a lower cache VMIN, the rate of correctable errors exponentially increases, thus eliminating a useful metric for on-die observability. The presentation concludes by offering alternative solutions for on-die observability.","PeriodicalId":6403,"journal":{"name":"2007 IEEE International Test Conference","volume":"3 1","pages":"1"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trading-off on-die observability for cache minimum supply voltage reduction in system-on-chip (SoC) processors\",\"authors\":\"K. Bowman, A. Park, V. Narayanan, Francois Atallah, A. Artieri, S. Yoon, Kendrick Yuen, David Hansquine\",\"doi\":\"10.1109/TEST.2014.7035322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Circuit techniques for reducing the minimum supply voltage (V MIN ) of last-level and intermediate static random-access memory (SRAM) caches enhance processor energy efficiency. For the first time at a 16nm technology node, projections of a high-density 6-transistor SRAM bit cell indicate that the VMIN of a 4Mb or larger cache exceeds the maximum supply voltage (V MAX ) for reliability. Thus, circuit techniques for cache VMIN reduction are transitioning from an energy-efficient solution to a requirement for cache functionality. Traditionally, error-correcting codes (ECC) such as single-error correction, double-error detection (SECDED) aim to protect the cache operation from radiation-induced soft errors. Moreover, during the qualification of a system-on-chip (SoC) processor, test engineers monitor the rate of correctable cache errors from SECDED for observing the on-die interactions between integrated components (e.g., CPU, GPU, DSP, etc.). This presentation highlights the opportunity to exploit ECC for reducing the cache V MIN while simultaneously providing coverage for radiation-induced soft errors. Silicon test-chip measurements from a 7Mb data cache in a 20nm technology demonstrate a V MIN reduction of 19% from SECDED. In addition, silicon measurements provide a salient insight in that only 0.12% of the cache words contain an error when operating at the cache V MIN with SECDED. Therefore, SECDED improves V MIN by 19% while maintaining 99.88% coverage for radiation-induced soft errors. In applying SECDED for a lower cache VMIN, the rate of correctable errors exponentially increases, thus eliminating a useful metric for on-die observability. 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Trading-off on-die observability for cache minimum supply voltage reduction in system-on-chip (SoC) processors
Circuit techniques for reducing the minimum supply voltage (V MIN ) of last-level and intermediate static random-access memory (SRAM) caches enhance processor energy efficiency. For the first time at a 16nm technology node, projections of a high-density 6-transistor SRAM bit cell indicate that the VMIN of a 4Mb or larger cache exceeds the maximum supply voltage (V MAX ) for reliability. Thus, circuit techniques for cache VMIN reduction are transitioning from an energy-efficient solution to a requirement for cache functionality. Traditionally, error-correcting codes (ECC) such as single-error correction, double-error detection (SECDED) aim to protect the cache operation from radiation-induced soft errors. Moreover, during the qualification of a system-on-chip (SoC) processor, test engineers monitor the rate of correctable cache errors from SECDED for observing the on-die interactions between integrated components (e.g., CPU, GPU, DSP, etc.). This presentation highlights the opportunity to exploit ECC for reducing the cache V MIN while simultaneously providing coverage for radiation-induced soft errors. Silicon test-chip measurements from a 7Mb data cache in a 20nm technology demonstrate a V MIN reduction of 19% from SECDED. In addition, silicon measurements provide a salient insight in that only 0.12% of the cache words contain an error when operating at the cache V MIN with SECDED. Therefore, SECDED improves V MIN by 19% while maintaining 99.88% coverage for radiation-induced soft errors. In applying SECDED for a lower cache VMIN, the rate of correctable errors exponentially increases, thus eliminating a useful metric for on-die observability. The presentation concludes by offering alternative solutions for on-die observability.