The need for processing the continuously growing amount of data that is produced every day is promoting research for the development of energy-efficient non-von Neumann computing architectures. Over the last decade, resistive RAM (RRAM) devices together with material implication logic (IMPLY) were proposed as a promising solution for the development of low-power logic-in-memory (LIM) circuits. Still, the high design complexity and the low reliability of these circuits are hindering their practical realization. It is only recently that a new smart IMPLY architecture, named SIMPLY, was proposed and shown to drastically improve circuit reliability and energy efficiency of IMPLY-based LIM circuits. In this work, we introduce a new smart operati...
Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-effici...
With the growing demand for more energy efficient computing hardware to support edge computing appli...
Presented at Phase Change Workshop, Villars sur Ollon (Switzerland)Edge computing requires highly en...
Low-power smart devices are becoming pervasive in our world. Thus, relevant research efforts are dir...
Edge computing has been shown to be a promising solution that could relax the burden imposed onto th...
In this work, we introduce a new RRAM-based Smart IMPLY (SIMPLY) logic scheme with unique benefits f...
In this work, we explore the RRAM-based IMPLY logic by means of circuit simulations. Differently fro...
Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-effici...
Spin-transfer torque magnetic tunnel junction (STT-MTJ) technology is an attractive solution for des...
Logic circuits based on Resistive RAM (RRAM) devices and the material implication logic (IMPLY) are ...
Different in-memory computing paradigms enabled by emerging non-volatile memory technologies are pro...
Different in-memory computing paradigms enabled by emerging non-volatile memory technologies are pro...
Logic-in-memory (LiM) circuits based on resistive random access memory (RRAM) devices and the materi...
The Logic-in-Memory paradigm is considered a promising solution for improving the energy efficiency ...
Resistive Random access memory (RRAM) devices together with the material implication (IMPLY) logic a...
Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-effici...
With the growing demand for more energy efficient computing hardware to support edge computing appli...
Presented at Phase Change Workshop, Villars sur Ollon (Switzerland)Edge computing requires highly en...
Low-power smart devices are becoming pervasive in our world. Thus, relevant research efforts are dir...
Edge computing has been shown to be a promising solution that could relax the burden imposed onto th...
In this work, we introduce a new RRAM-based Smart IMPLY (SIMPLY) logic scheme with unique benefits f...
In this work, we explore the RRAM-based IMPLY logic by means of circuit simulations. Differently fro...
Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-effici...
Spin-transfer torque magnetic tunnel junction (STT-MTJ) technology is an attractive solution for des...
Logic circuits based on Resistive RAM (RRAM) devices and the material implication logic (IMPLY) are ...
Different in-memory computing paradigms enabled by emerging non-volatile memory technologies are pro...
Different in-memory computing paradigms enabled by emerging non-volatile memory technologies are pro...
Logic-in-memory (LiM) circuits based on resistive random access memory (RRAM) devices and the materi...
The Logic-in-Memory paradigm is considered a promising solution for improving the energy efficiency ...
Resistive Random access memory (RRAM) devices together with the material implication (IMPLY) logic a...
Smart material implication (SIMPLY) logic has been recently proposed for the design of energy-effici...
With the growing demand for more energy efficient computing hardware to support edge computing appli...
Presented at Phase Change Workshop, Villars sur Ollon (Switzerland)Edge computing requires highly en...