Mementos: system support for long-running computation on RFID-scale devices

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CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery (2020, background): “Intermittent computing (Ransford et al., 2011; Jayakumar et al., 2014; Maeng & Lucia, 2018; Maeng et al., 2019; Maeng & Lucia, 2019; 2020; Hester et al., 2015; Hester & Sorber, 2017; Lucia & Ransford, 2015; Van Der Woude & Hicks, 2016; Hicks, 2017; Ma et al., 2015; Choi et al., 2019), a field enabli”
Alpaca: intermittent execution without checkpoints (2017, background): “QuickRecall [Ransford et al. 2011b], Hibernus [Balsamo et al.”
A simpler, safer programming and execution model for intermittent systems (2015, methodology): “Peri-ods of execution are on the order of a few hundred to a few thousand machine instructions, in line with the intermittence characteristics of prototype intermittently powered devices [6, 16, 28, 31, 40].”
PLoRa: a passive long-range data network from ambient LoRa transmissions (2018, methodology): “To maintain data integrity, Mementos [31] adopts a checkpoint design to save program instructions or data to nonvolatile memory when energy is about to run out.”
Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems (2015, methodology): “different approach (Mementos [4]) was proposed, which uses the well-known concept of checkpoints [5] placed at compiletime.”