Fig. 1: Computing power demand increase and platform transition from Von-Neumann towards highly parallelized architectures. | Nature Communications

Fig. 1: Computing power demand increase and platform transition from Von-Neumann towards highly parallelized architectures.

From: Hardware implementation of memristor-based artificial neural networks

Fig. 1

a The increase in computing power demands over the past four decades expressed in petaFLOPS per days. Until 2012, computing power demand doubled every 24 months; recently this has shortened to approximately every 2 months. The colour legend indicates different application domains10. Mehonic, A., Kenyon, A.J. Brain-inspired computing needs a master plan. Nature 604, 255–260 (2022), reproduced with permission from SNCSC. b A comparison of neural network accelerators for FPGA, ASIC, and GPU devices in terms of speed and power consumption. GOP/s giga operations per second, TOP/s tera operations per second.

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