Maximized Lateral Inhibition in Paired Magnetic Domain Wall Racetracks for Neuromorphic Computing [Presentation].
Abstract not provided.
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The core function of many neural network algorithms is the dot product, or vector matrix multiply (VMM) operation. Crossbar arrays utilizing resistive memory elements can reduce computational energy in neural algorithms by up to five orders of magnitude compared to conventional CPUs. Moving data between a processor, SRAM, and DRAM dominates energy consumption. By utilizing analog operations to reduce data movement, resistive memory crossbars can enable processing of large amounts of data at lower energy than conventional memory architectures.
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Presentation at IEEE Brain Discovery and Neurotechnology Workshop https://brain.ieee.org/2024-ieee-brain-discovery-neurotechnology-workshop/
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