Spintronics for energy-efficient computing: An overview and outlook
From the discovery of giant magnetoresistance (GMR) to tunnel magnetoresistance (TMR),
their subsequent application in large capacity hard disk drives (HDDs) greatly speeded up …
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
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 …
risks and potential frauds in the food industry. Significant improvements in sequencing …
A case study of {Processing-in-Memory} in {off-the-Shelf} systems
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 …
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 …
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 …
architectural improvements. However, current technology is suffering from three technology …
Emerging computing devices: Challenges and opportunities for test and reliability
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 …
of three major emerging computing paradigms; ie, Quantum Computing, Computing engines …
KrakenOnMem: a memristor-augmented HW/SW framework for taxonomic profiling
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 …
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 …
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
Conventional von Neumann architectures cannot successfully meet the demands of
emerging computation and data-intensive applications. These shortcomings can be …
emerging computation and data-intensive applications. These shortcomings can be …
Low-power memristor-based computing for edge-ai applications
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 …
is foreseen for millions of applications, like personalized healthcare and smart robotics …