A low-power variation-aware adaptive write scheme for access-transistor-free memristive memory
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Recent advances in access-transistor-free memristive crossbars have demonstrated the potential of memristor arrays as high-density and ultra-low-power memory. However, with considerable variations in the write-time characteristics of individual memristors, conventional fixed-pulse write schemes cannot guarantee reliable completion of the write operations and waste significant amount of energy. We propose an adaptive write scheme that adaptively adjusts the write pulses to address such variations in memristive arrays, resulting in 7x-11x average energy saving in our case studies. Our scheme embeds an online monitor to detect the completion of a write operation and takes into account the parasitic effect of line-shared devices in access-transistor-free crossbars. This feature also helps shorten the test time of memory march algorithms by eliminating the need of a verifying read right after a write, which is commonly employed in the test sequences of march algorithms. © 2015 ACM.
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Access-Transistor-Free; Adaptive Write Scheme; Leakage-Current Filtering; Low-Power; March Algorithm; Memory Testing; Memristive Crossbar; Memristor; Online Resistance Monitoring; ReRAM; Variation-Aware Design Algorithms; Energy conservation; Memristors; Passive filters; Social networking (online); Access-Transistor-Free; Adaptive Write Scheme; Current filtering; Low Power; March algorithm; Memory testing; Memristive Crossbar; Memristor; ReRAM; Variation-aware design; Transistors
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