2013 International Green Computing Conference Proceedings 2013
DOI: 10.1109/igcc.2013.6604500
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REMEDIATE: A scalable fault-tolerant architecture for low-power NUCA cache in tiled CMPs

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Cited by 11 publications
(9 citation statements)
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References 27 publications
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“…Recently, a variety of proposals have been introduced to meet the constraint of parametric failure rate in the NTV cache [27]- [34], [8], [9]. Compared with these technologies, the VANUCA has different features, such as immunity to dynamic MBUs, independence of accurate fault maps, and so on.…”
Section: G Comparison With the State-of-the-art Technologiesmentioning
confidence: 99%
“…Recently, a variety of proposals have been introduced to meet the constraint of parametric failure rate in the NTV cache [27]- [34], [8], [9]. Compared with these technologies, the VANUCA has different features, such as immunity to dynamic MBUs, independence of accurate fault maps, and so on.…”
Section: G Comparison With the State-of-the-art Technologiesmentioning
confidence: 99%
“…Block disabling results in caches with variable associativity per set, determined by the number and distribution of faults in the cache. Tracking faulty cells at finer granularity, usually combined with a remapping mechanism, offers a great increase in the effective cache capacity, and some recent proposals exploit this observation with complex mechanisms [4], [5], [15]. In this paper we focus on the simpler block disabling for shared LLCs, and we leverage cache coherence to track and manage disabled blocks in private caches.…”
Section: Impact Of Variability On Large Caches At Ultra-low Voltmentioning
confidence: 99%
“…More complex mechanisms couple faulty entries using a remapping mechanism, which adds a level of indirection to the cache access, making more complicated the direct adoption of our techniques [4], [15].…”
Section: Related Workmentioning
confidence: 99%
“…The NSF Variability Expedition ( Figure 5) [49] seeks to build opportunistic computing systems where hardware variations are monitored and exposed to software layers (instead of being hidden behind pessimistic margins) enabling adaptations. The work has spanned circuit-level monitoring and test (e.g., [50], [51], [60]), variability emulation ( [52], [53]), runtime for embedded systems (e.g., [54], [55]), GPUs (e.g., [56], [48]), processors (e.g., [56], [58]), memories (e.g., [55], [64], [59]) and storage (e.g., [61], [62]). In the following, we briefly describe some of the research on memory variability done under the Variability Expedition.…”
Section: Variability Expeditionmentioning
confidence: 99%
“…Zhou [30] minimizes area overhead through joint optimization of cell size, redundancy, and ECC; and Ndai [31] performs circuitarchitecture codesign for memory yield improvement. More recent architectural schemes for cache resilience address newer challenges for multi and many-core platforms, such as scalability [32][59], variation in fault behaviors [11], non-uniform memory access latency [59], limited shared redundancy [33], lowoverhead multi-VDD support [37], and high costs of uniform design [34][35].…”
Section: Architecture-level Techniquesmentioning
confidence: 99%