HZO-based FerroNEMS MAC for in-memory computing

Assessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

Sram System Design for Memory Based Computing

Imprecise Minority-Based Full Adder for ‎Approximate Computing Using CNFETs

   Nowadays, the portable multimedia electronic devices, which employ signal-processing modules, require power aware structures more than ever. For the applications associating with human senses, approximate arithmetic circuits can be considered to improve performance and power efficiency. On the other hand, scaling has led to some limitations in performance of nanoscale circuits. According...

2T1M-Based Double Memristive Crossbar Architecture for In-Memory Computing

The recent discovery of the memristor has renewed the interest for fast arithmetic operations via high-radix numeric systems. In this direction, a conceptual solution for high-radix memristive arithmetic logic units (ALUs) was recently published. The latter combines CMOS circuitry for data processing and a reconfigurable “segmented” crossbar memory block. In this paper we build upon such a conc...

CoRAM: An In-Fabric Memory Abstraction for FPGA-Based Computing

FPGAs have been used in many applications to achieve orders-of-magnitude improvement in absolute performance and energy efficiency relative to conventional microprocessors. Despite their newfound potency in both processing performance and energy efficiency, FPGAs have not gained widespread acceptance as mainstream computing devices. A fundamental obstacle to FPGA-based computing can be traced t...