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A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications. [PDF]
Sensors (Basel), 2019 The widespread applications of the wireless Internet of Things (IoT) is one of the leading factors in the emerging of Big Data. Huge amounts of data need to be transferred and processed.
Yang X, Hou Y, He H.
europepmc +2 more sources
NodeFetch: High Performance Graph Processing using Processing in Memory [PDF]
Journal of Electrical and Computer Engineering Innovations, 2021 Background and Objectives: Graph processing is increasingly gaining attention during era of big data. However, graph processing applications are highly memory intensive due to nature of graphs.
M. Mosayebi, M. Dehyadegari
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Will computing in memory become a new dawn of associative processors?
Memories - Materials, Devices, Circuits and Systems, 2023 Computer architecture faces an enormous challenge in recent years: while the demand for performance is constantly growing, the performance improvement of general-purpose CPU has almost stalled.
Leonid Yavits
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Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline
Frontiers in Neuroscience, 2022 Brain-inspired Hyper-dimensional(HD) computing is a novel and efficient computing paradigm. However, highly parallel architectures such as Processing-in-Memory(PIM) are bottle-necked by reduction operations required such as accumulation.
Justin Morris +5 more
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MicroRNAs in Memory Processing [PDF]
Neuron, 2009 MicroRNAs are a class of small RNA molecules that regulate the expression of a wide variety of genes. In this issue of Neuron, Rajasethupathy and colleagues identify 170 distinct microRNAs in Aplysia, including one, miR-124, that plays a critical role in the regulation of signaling molecules underlying synaptic plasticity and memory.
Fischbach, Soren J., Carew, Thomas J.
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Revisiting distinctive processes in memory [PDF]
Psychonomic Bulletin & Review, 2006 In three experiments,we examined the relationship between orthographic andphonological distinctiveness and incidental recall. In each experiment, participants were given a surprise free recalltest after they read words aloud as quickly and accurately as possible.
Michael J, Cortese +3 more
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IEEE Access, 2023 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 spike
Seong Min Kim +9 more
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Data Processing and Information Classification—An In-Memory Approach
Sensors, 2020 To live in the information society means to be surrounded by billions of electronic devices full of sensors that constantly acquire data. This enormous amount of data must be processed and classified.
Milena Andrighetti +8 more
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Time sharing in working memory processing. [PDF]
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023 Although working memory (WM) is usually defined as a cognitive system coordinating processing and storage in the short term, in most WM models, memory aspects have been developed more fully than processing systems, and many studies of WM tasks have tended to focus on memory performance.
Pierre Barrouillet +7 more
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Casper: Accelerating Stencil Computations Using Near-Cache Processing
IEEE Access, 2023 Stencil computations are commonly used in a wide variety of scientific applications, ranging from large-scale weather prediction to solving partial differential equations.
Alain Denzler +6 more
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