This work presents the first resistive random access memory (RRAM)-based compute-in-
memory (CIM) macro design tailored for genome processing. We analyze and demonstrate …

Abstract Resistive Random Access Memory (ReRAM) is a novel non-volatile memory
technology, with potential applications spanning high-density memory and embedded …

Resistive Random Access Memory (ReRAM) is a promising candidate for implementing
Computing-in-Memory (CIM) architectures and neuromorphic circuits. ReRAM cells exhibit …

In situ or hardware-embedded data processing of raw signals, close to their source, in
radiation detectors is expected to provide dramatic improvements in data quality and …

Device failure can lead to operation instability and application performance degradation. To
avoid this, restricting operational parameters can optimize long-term device reliability; …

A novel concept for programmable mixed-signal circuits is presented based on
programmable transmission gates. For implementation, memristively switching devices are …

Resistive random access memory (ReRAM) holds promise for building computing-in-
memory (CIM) architectures to execute machine learning (ML) applications. However …

In genomic analysis, the major computation bottleneck is the memory-and compute-
intensive DNA short reads alignment due to memory-wall challenge. This work presents the …

Upcoming computing and market-ready storage technologies must not only become more
powerful, but also more energy-efficient to meet future challenges. A promising solution are …

Alternative computing technologies are highly sought after due to limitations on transistor
fabrication improvements. Fabricated memristive technology allows for a non-volatile analog …