Spintronics for energy-efficient computing: An overview and outlook

Z Guo, J Yin, Y Bai, D Zhu, K Shi, G Wang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
From the discovery of giant magnetoresistance (GMR) to tunnel magnetoresistance (TMR),
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …

Demeter: A fast and energy-efficient food profiler using hyperdimensional computing in memory

T Shahroodi, M Zahedi, C Firtina, M Alser… - IEEE …, 2022 - ieeexplore.ieee.org
Food profiling is an essential step in any food monitoring system needed to prevent health
risks and potential frauds in the food industry. Significant improvements in sequencing …

A case study of {Processing-in-Memory} in {off-the-Shelf} systems

J Nider, C Mustard, A Zoltan, J Ramsden, L Liu… - 2021 USENIX Annual …, 2021 - usenix.org
We evaluate a new processing-in-memory (PIM) architecture from UPMEM that was built
and deployed in an off-the-shelf server. Systems designed to perform computing in or near …

Fast and compact serial imply-based approximate full adders applied in image processing

SE Fatemieh, MR Reshadinezhad… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
The barriers to improving computers' performance have led to the emergence of new
computing paradigms and technologies. Among these, the memristors are of great concern …

A survey on memory-centric computer architectures

A Gebregiorgis, HA Du Nguyen, J Yu… - ACM Journal on …, 2022 - dl.acm.org
Faster and cheaper computers have been constantly demanding technological and
architectural improvements. However, current technology is suffering from three technology …

Emerging computing devices: Challenges and opportunities for test and reliability

A Bosio, I O'Connor, M Traiola… - 2021 IEEE European …, 2021 - ieeexplore.ieee.org
The paper addresses some of the opportunities and challenges related to test and reliability
of three major emerging computing paradigms; ie, Quantum Computing, Computing engines …

KrakenOnMem: a memristor-augmented HW/SW framework for taxonomic profiling

T Shahroodi, M Zahedi, A Singh, S Wong… - Proceedings of the 36th …, 2022 - dl.acm.org
State-of-the-art taxonomic profilers that comprise the first step in larger-context metagenomic
studies have proven to be computationally intensive, ie, while accurate, they come at the …

Accelerating large table scan using processing-in-memory technology

A Baumstark, MA Jibril, KU Sattler - Datenbank-Spektrum, 2023 - Springer
Today's systems are capable of storing large amounts of data in main memory. Particularly,
in-memory DBMSs benefit from this development. However, the processing of data from the …

A voltage-controlled, oscillation-based adc design for computation-in-memory architectures using emerging rerams

M Mayahinia, A Singh, C Bengel, S Wiefels… - ACM Journal on …, 2022 - dl.acm.org
Conventional von Neumann architectures cannot successfully meet the demands of
emerging computation and data-intensive applications. These shortcomings can be …

Low-power memristor-based computing for edge-ai applications

A Singh, S Diware, A Gebregiorgis… - … on Circuits and …, 2021 - ieeexplore.ieee.org
With the rise of the Internet of Things (IoT), a huge market for so-called smart edge-devices
is foreseen for millions of applications, like personalized healthcare and smart robotics …