Multi-ReRAM synapses for artificial neural network training
Irem Boybat, Cecilia Giovinazzo, et al.
ISCAS 2019
This work presents the design and the silicon implementation of an on-line energy optimizer unit based on novel analog computation approaches, which is capable of dynamically adjusting power supply voltages and operating frequencies of multiple processing elements on-chip. The optimized voltage/frequency assignments are tailored to the instantaneous workload information on multiple tasks and fully adaptive to variations in process and temperature. The optimizer unit has a response time of less than 50 μs, occupies a silicon area of 0.021 mm2/task and dissipates 2 mW/task. © 2007 IEEE.
Irem Boybat, Cecilia Giovinazzo, et al.
ISCAS 2019
Alessandro Fumarola, S. Sidler, et al.
IEEE J-EDS
Ilter Ozkaya, Alessandro Cevrero, et al.
ISSCC 2018
Gözde Töral, Roland Bender, et al.
THERMINIC 2010