Results 31 to 40 of about 84,402,451 (356)
A Survey of Resource Management for Processing-In-Memory and Near-Memory Processing Architectures
Journal of Low Power Electronics and Applications, 2020 Due to the amount of data involved in emerging deep learning and big data applications, operations related to data movement have quickly become a bottleneck.
Kamil Khan +2 more
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A Survey of Near-Data Processing Architectures for Neural Networks
Machine Learning and Knowledge Extraction, 2022 Data-intensive workloads and applications, such as machine learning (ML), are fundamentally limited by traditional computing systems based on the von-Neumann architecture.
Mehdi Hassanpour +2 more
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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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Development of processing-in-memory [PDF]
SCIENTIA SINICA Informationis, 2021 With the explosive increase of processed data, data transmission through the bus between CPU and the main memory has become a bottleneck in the traditional von Neumann architecture. On top of this, popular data-intensive workloads, such as neural networks and graph computing applications, have poor data locality, which results in a substantial increase
Jiwu SHU, Haiyu MAO, Fei LI, Zhe LIU
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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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GP-SIMD Processing-in-Memory [PDF]
ACM Transactions on Architecture and Code Optimization, 2015 GP-SIMD, a novel hybrid general-purpose SIMD computer architecture, resolves the issue of data synchronization by in-memory computing through combining data storage and massively parallel processing. GP-SIMD employs a two-dimensional access memory with modified SRAM storage cells and a bit-serial processing unit per each memory row.
Amir Morad, Leonid Yavits, Ran Ginosar
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CIDAN-XE: Computing in DRAM with Artificial Neurons
Frontiers in Electronics, 2022 This paper presents a DRAM-based processing-in-memory (PIM) architecture, called CIDAN-XE. It contains a novel computing unit called the neuron processing element (NPE).
Gian Singh +3 more
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A survey on processing-in-memory techniques: Advances and challenges
Memories - Materials, Devices, Circuits and Systems, 2023 Processing-in-memory (PIM) techniques have gained much attention from computer architecture researchers, and significant research effort has been invested in exploring and developing such techniques.
Kazi Asifuzzaman +4 more
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Processing speed and visuospatial executive function predict visual working memory ability in older adults [PDF]
, 2012 Visual working memory (VWM) has been shown to be particularly age sensitive. Determining which measures share variance with this cognitive ability in older adults may help to elucidate the key factors underlying the effects of aging.
Deary, Ian J +12 more
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ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost
IEEE Access, 2020 There is a growing gap between data explosion speed and the improvement of graph processing systems on conventional architectures. The main reason lies in the large overhead of random access and data movement, as well as the unbalanced and unordered ...
Haoqiang Liu +3 more
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