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   Articles with "processing memory" as a keyword



Hemispheric processing of memory is affected by sleep

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recommendations! Published in 2017 at "Brain and Language"

DOI: 10.1016/j.bandl.2016.05.003

Abstract: HighlightsSleep and hemispheric processing interactions are explored.Sleep shifts recognition memory of words to the left hemisphere.Sleep boosts spreading activation in both the left and right hemisphere.False memories resulting from sleep are not lateralised to left… read more here.

Keywords: left right; processing memory; sleep; hemispheric processing ... See more keywords

Power-Delay Area-Efficient Processing-In-Memory Based on Nanocrystalline Hafnia Ferroelectric Field-Effect Transistors.

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recommendations! Published in 2022 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.2c14867

Abstract: Ferroelectric field-effect transistors (FeFETs) have attracted enormous attention for low-power and high-density nonvolatile memory devices in processing-in-memory (PIM). However, their small memory window (MW) and limited endurance severely degrade the area efficiency and reliability of… read more here.

Keywords: field effect; processing memory; effect transistors; ferroelectric field ... See more keywords

Be aware of the rifle but do not forget the stench: differential effects of fear and disgust on lexical processing and memory

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recommendations! Published in 2018 at "Cognition and Emotion"

DOI: 10.1080/02699931.2017.1356700

Abstract: ABSTRACT The aim of this study was to investigate the role of discrete emotions in lexical processing and memory, focusing on disgust and fear. We compared neutral words to disgust-related words and fear-related words in… read more here.

Keywords: task; related words; processing memory; lexical processing ... See more keywords

The effect of survival processing on memory for pictures depends on how memory is tested

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recommendations! Published in 2023 at "Memory"

DOI: 10.1080/09658211.2023.2171436

Abstract: ABSTRACT Two experiments investigated the effects of survival processing on memory for pictures of objects. In experiment 1, participants were presented with 32 pictures of common objects and rated them for their relevance to a… read more here.

Keywords: processing memory; effect survival; memory pictures; survival processing ... See more keywords

Processing and Memory of Central and Peripheral Ideas in Reading Comprehension by Poor Comprehenders

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recommendations! Published in 2020 at "Scientific Studies of Reading"

DOI: 10.1080/10888438.2020.1759073

Abstract: ABSTRACT This study was designed to examine the ability of poor comprehenders to identify, attend, and remember central and peripheral ideas during and after reading. To address these goals, good and poor comprehenders, matched on… read more here.

Keywords: peripheral ideas; ideas reading; memory central; poor comprehenders ... See more keywords

Making Better Use of Processing-in-Memory Through Potential-Based Task Offloading

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2983432

Abstract: There is an increasing demand for a novel computing structure for data-intensive applications such as artificial intelligence and virtual reality. The processing-in-memory (PIM) is a promising alternative to reduce the overhead caused by data movement.… read more here.

Keywords: task offloading; design; processing memory; pim ... See more keywords

Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3174101

Abstract: Many modern workloads, such as neural networks, databases, and graph processing, are fundamentally memory-bound. For such workloads, the data movement between main memory and CPU cores imposes a significant overhead in terms of both latency… read more here.

Keywords: system; processing memory; pim; memory system ... See more keywords

A Digital Processing in Memory Architecture Using TCAM for Rapid Learning and Inference Based on a Spike Location Dependent Plasticity

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3234323

Abstract: In this paper, we present a digital processing in memory (DPIM) configured as a stride edge-detection search frequency neural network (SE-SFNN) which is trained through spike location dependent plasticity (SLDP), a learning mechanism reminiscent of… read more here.

Keywords: spike location; processing memory; digital processing; dependent plasticity ... See more keywords

A Scalable and Energy-Efficient Processing-in-Memory Architecture for Gen-AI

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recommendations! Published in 2025 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"

DOI: 10.1109/jetcas.2025.3566929

Abstract: Large language models (LLMs) have achieved high accuracy in diverse NLP and computer vision tasks due to self-attention mechanisms relying on GEMM and GEMV operations. However, scaling LLMs poses significant computational and energy challenges, particularly… read more here.

Keywords: processing memory; tex math; energy; inline formula ... See more keywords

RoPIM: A Processing-in-Memory Architecture for Accelerating Rotary Positional Embedding in Transformer Models

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recommendations! Published in 2025 at "IEEE Computer Architecture Letters"

DOI: 10.1109/lca.2025.3535470

Abstract: The emergence of attention-based Transformer models, such as GPT, BERT, and LLaMA, has revolutionized Natural Language Processing (NLP) by significantly improving performance across a wide range of applications. A critical factor driving these improvements is… read more here.

Keywords: architecture; transformer models; ropim processing; positional embedding ... See more keywords

OPIMA: Optical Processing-in-Memory for Convolutional Neural Network Acceleration

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recommendations! Published in 2024 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2024.3446870

Abstract: Recent advances in machine learning (ML) have spotlighted the pressing need for computing architectures that bridge the gap between memory bandwidth and processing power. The advent of deep neural networks has pushed traditional Von Neumann… read more here.

Keywords: convolutional neural; memory; energy; main memory ... See more keywords