Scientific Achievement
A rigorous systems-to-materials co-design study that determines key material property targets for efficient compute-in-memory.
Significance and Impact
Provides one of the first detailed co-design guided methodology and benchmarks for new non-volatile memory (NVM) materials for cross-bar array based neuromorphic computing.
Research Details
- Explored a co-design view of the compute in-memory process; and determined the hardware solutions for cross-bar arrays taking into account read/write challenges, and energy/speed efficiency.
- We then explored the materials properties and physical mechanisms required for analog & digital memory in these implementations.
- We evaluated current NVM candidates based on performance needs such as temporal stability, low variability, low switching energy, high integration density, and scalability.
- We then laid out the set of metrics that a viable NVM candidate will need to meet keeping in mind the end-to-end co-design need.
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