Results 21 to 30 of about 84,402,451 (356)
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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Frontiers in Neuroscience, 2022 High-quality 3D image recognition is an important component of many vision and robotics systems. However, the accurate processing of these images requires the use of compute-expensive 3D Convolutional Neural Networks (CNNs). To address this challenge, we
Gourav Datta +3 more
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PIM-trie: A Skew-resistant Trie for Processing-in-Memory
ACM Symposium on Parallelism in Algorithms and Architectures, 2023 Memory latency and bandwidth are significant bottlenecks in designing in-memory indexes. Processing-in-memory (PIM), an emerging hardware design approach, alleviates this problem by embedding processors in memory modules, enabling low-latency memory ...
H. Kang +6 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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An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2022 Artificial intelligence (AI) and machine learning (ML) are revolutionizing many fields of study, such as visual recognition, natural language processing, autonomous vehicles, and prediction.
Donghyuk Kim +7 more
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Fast Polarization for Processes With Memory [PDF]
IEEE Transactions on Information Theory, 2018 Fast polarization is crucial for the performance guarantees of polar codes. In the memoryless setting, the rate of polarization is known to be exponential in the square root of the block length. A complete characterization of the rate of polarization for models with memory has been missing. Namely, previous works have not addressed fast polarization of
Boaz Shuval, Ido Tal
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Universal Polarization for Processes with Memory [PDF]
2019 IEEE International Symposium on Information Theory (ISIT), 2019 A transform that is universally polarizing over a set of channels with memory is presented. Memory may be present in both the input to the channel and the channel itself. Both the encoder and the decoder are aware of the input distribution, which is fixed. However, only the decoder is aware of the actual channel being used. The transform can be used to
Boaz Shuval, Ido Tal
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Making Better Use of Processing-in-Memory Through Potential-Based Task Offloading
IEEE Access, 2020 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 ...
Byoung-Hak Kim, Chae Eun Rhee
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PIMCaffe: Functional Evaluation of a Machine Learning Framework for In-Memory Neural Processing Unit
IEEE Access, 2021 The large amount of memory usage in recent machine learning applications imposes a significant system burden with respect to power and processing speed.
Won Jeon +4 more
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Frontiers in Electronics, 2022 The recent advances in Artificial Intelligence (AI) achieving “better-than-human” accuracy in a variety of tasks such as image classification and the game of Go have come at the cost of exponential increase in the size of artificial neural networks. This
Vaibhav Verma, Mircea R. Stan
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