Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2017 2017
DOI: 10.23919/date.2017.7927016
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STAxCache: An approximate, energy efficient STT-MRAM cache

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Cited by 34 publications
(20 citation statements)
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“…To this end, several techniques have been proposed to address the challenges posed by STT-RAMs, especially with respect to the write energy and latency overheads. Ranjan et al [17] used approximated storage to provide an energy-efficient solution to organize STT-RAM in the level two (L2) cache. Reed et al [18] used conditional random replacement to mitigate repeated writes on some cache blocks and improve write lifetime of STT-RAM L2 cache.…”
Section: B Cost Of Refresh Schemes and Motivation For Larsmentioning
confidence: 99%
“…To this end, several techniques have been proposed to address the challenges posed by STT-RAMs, especially with respect to the write energy and latency overheads. Ranjan et al [17] used approximated storage to provide an energy-efficient solution to organize STT-RAM in the level two (L2) cache. Reed et al [18] used conditional random replacement to mitigate repeated writes on some cache blocks and improve write lifetime of STT-RAM L2 cache.…”
Section: B Cost Of Refresh Schemes and Motivation For Larsmentioning
confidence: 99%
“…All layers of the memory hierarchy are covered, including cache, memory, and storage. The approximate caches aim at optimizing the access performance and reducing the cache miss overhead as well as some new types of devices, such as RFVP [18], load value approximation [19], Texture Cache [20], a tunable cache [21], STAxCache [22], Dynamic Energy-Quality [23], and Scratchpad Memory optimize [24]. Approximate memory structures are also proposed by dividing the data into the critical and uncritical regions.…”
Section: Approximate Techniquesmentioning
confidence: 99%
“…This approximate computing paradigm can be applied in different components of application-specified accelerators with different quality-power (or performance) tradeoffs at different abstractions layers [2]. There have been a variety of approximate techniques proposed for gaining power saving or performance improvement, which cover all the sites in approximate computing [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], approximate storage [18][19][20][21][22][23][24][25][26][27][28][29][30], and approximate communication [31][32][33][34][35][36]. How to utilize these approximate techniques is a significant issue for designing a cost-effective approximate accelerator.…”
Section: Introductionmentioning
confidence: 99%
“…In further work Ranjan et al [56] propose STAxCache, an L2 approximate spintronic cache with a mix of algorithmic and error-tolerance approaches to approximating STT-MRAM. These which is an intentional quality reduction.…”
Section: Dram Refresh Rate Reductionmentioning
confidence: 99%