Results 1 to 10 of about 484,173 (254)
Using Chiplet Encapsulation Technology to Achieve Processing-in-Memory Functions [PDF]
Micromachines, 2022 With the rapid development of 5G, artificial intelligence (AI), and high-performance computing (HPC), there is a huge increase in the data exchanged between the processor and memory.
Wenchao Tian +6 more
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BIMSA: accelerating long sequence alignment using processing-in-memory. [PDF]
BioinformaticsAbstract Motivation Recent advances in sequencing technologies have stressed the critical role of sequence analysis algorithms and tools in genomics and healthcare research. In particular, sequence alignment is a fundamental building block in many sequence analysis pipelines and is frequently a
Alonso-Marín A +6 more
europepmc +7 more sources
A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications [PDF]
Sensors, 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.
Xu Yang, Yumin Hou, Hu He
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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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The Processing-in-Memory Model [PDF]
Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021 As computational resources become more efficient and data sizes grow, data movement is fast becoming the dominant cost in computing. Processing-in-Memory is emerging as a key technique for reducing costly data movement, by enabling computation to be executed on compute resources embedded in the memory modules themselves.
Hongbo Kang +5 more
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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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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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Hardware-Software Co-Design of an In-Memory Transformer Network Accelerator
Frontiers in Electronics, 2022 Transformer networks have outperformed recurrent and convolutional neural networks in terms of accuracy in various sequential tasks. However, memory and compute bottlenecks prevent transformer networks from scaling to long sequences due to their high ...
Ann Franchesca Laguna +5 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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Advanced Intelligent Systems, 2022 Neural networks have been widely used for advanced tasks from image recognition to natural language processing. Many recent works focus on improving the efficiency of executing neural networks in diverse applications.
Xiaoxuan Yang +3 more
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