Results 251 to 260 of about 666,598 (288)

A Pilot Study on the Influence of Diaphragmatic Function on Iliopsoas Muscle Activity in Individuals with Chronic Ankle Instability. [PDF]

Muscles
Jiroumaru T, Nomura S, Hyodo Y, Wachi M, Ochi J, Shichiri N, Fujikawa T.   +6 more
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Biomorphoelasticity alone: limitations in modeling post-burn contraction and hypertrophy without finite strains. [PDF]

Biomech Model Mechanobiol
Egberts G, Vermolen F, van Zuijlen P.
europepmc   +1 more source

Estimation of Active Tension in Cardiac Microtissues by Solving a PDE-Constrained Optimization Problem. [PDF]

Int J Numer Method Biomed Eng
Telle Å, Charwat V, Charrez B, Finsberg H, Healy KE, Wall ST.   +5 more
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Variational tensor neural networks for deep learning. [PDF]

Sci Rep
Jahromi SS, Orús R.
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A Performance Portability Study Using Tensor Contraction Benchmarks

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2023
Driven by the end of Moore’s law, heterogeneous architectures, particularly GPUs, are experiencing a surge in demand and utilization. While these platforms hold the potential for achieving high performance, their programming remains challenging and ...
M. E. Ozturk, Omid Asudeh, Gerald Sabin, P. Sadayappan, Aravind Sukumaran-Rajam   +4 more
semanticscholar   +1 more source

Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]

IEEE Signal Processing Magazine, 2022
Tensors (multiway arrays) and tensor decompositions (TDs) have recently received tremendous attention in the data analytics community, due to their ability to mitigate the curse of dimensionality associated with modern large-dimensional big data [1], [2].
Ilya Kisil, G. G. Calvi, Kriton Konstantinidis, Y. Xu, D. Mandic   +4 more
semanticscholar   +1 more source

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory

ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming, 2021
Sparse tensor contractions appear commonly in many applications. Efficiently computing a two sparse tensor product is challenging: It not only inherits the challenges from common sparse matrix-matrix multiplication (SpGEMM), i.e., indirect memory access ...
Jiawen Liu, Jie Ren, R. Gioiosa, Dong Li, Jiajia Li   +4 more
semanticscholar   +1 more source

Magnetic Anomaly Detection and Localization Using Orthogonal Basis of Magnetic Tensor Contraction

IEEE Transactions on Geoscience and Remote Sensing, 2020
In certain scenarios, such as detection of unexploded ordnance (UXO), submarines, and intruders, magnetic anomaly detection (MAD) is an effective method due to the magnetic field advantages of small operating power, strong penetrability, and strong anti ...
Huanghuang Jin, Jian Guo, Hongbo Wang, Z. Zhuang, Jie Qin, Tonglei Wang   +5 more
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An Efficient Galerkin Averaging-Incremental Harmonic Balance Method Based on the Fast Fourier Transform and Tensor Contraction

Volume 1, 2020
An efficient Galerkin averaging-incremental harmonic balance (EGA-IHB) method is developed based on the fast Fourier transform (FFT) and tensor contraction to increase efficiency and robustness of the IHB method when calculating periodic responses of ...
Ren Ju, W. Fan, Wei-dong Zhu
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TCP: A Tensor Contraction Processor for AI Workloads Industrial Product*

International Symposium on Computer Architecture
We introduce a novel tensor contraction processor (TCP) architecture that offers a paradigm shift from traditional architectures that rely on fixed-size matrix multiplications.
Hanjoon Kim, Younggeun Choi, Junyoung Park, Byeongwook Bae, Hyunmin Jeong, Sang Min Lee, Jeseung Yeon, Minho Kim, Changjae Park, Boncheol Gu, Changman Lee, Jaeick Bae, SungGyeong Bae, Yojung Cha, Wooyoung Choe, Jonguk Choi, Juho Ha, Hyuck Han, Namoh Hwang, Seokha Hwang, Kiseok Jang, Haechan Je, Hojin Jeon, Jaewoo Jeon, Hyunjun Jeong, Yeonsu Jung, Dongok Kang, Hyewon Kim, Minjae Kim, Muhwan Kim, Sewon Kim, Suhyung Kim, Won Kim, Yong Kim, Youngsik Kim, Younki Ku, J. Lee, Juyun Lee, Kyungjae Lee, Seokho Lee, Minwoo Noh, Hyuntaek Oh, Gyunghee Park, Sanguk Park, Jimin Seo, Jungyoung Seong, June Paik, Nuno P. Lopes, Sungjoo Yoo   +48 more
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