Results 311 to 320 of about 751,143 (344)

Swift: High-Performance Sparse Tensor Contraction for Scientific Applications

arXiv.org
In scientific fields such as quantum computing, physics, chemistry, and machine learning, high dimensional data are typically represented using sparse tensors.
Andrew Ensinger, Gabriel Kulp, Victor Agostinelli, Dennis Lyakhov, Lizhong Chen   +4 more
semanticscholar   +1 more source

Efficient Utilization of Multi-Threading Parallelism on Heterogeneous Systems for Sparse Tensor Contraction

IEEE Transactions on Parallel and Distributed Systems
Many fields of scientific simulation, such as chemistry and condensed matter physics, are increasingly eschewing dense tensor contraction in favor of sparse tensor contraction.
Guoqing Xiao, Chuanghui Yin, Yuedan Chen, Mingxing Duan, Kenli Li   +4 more
semanticscholar   +1 more source

Generating Efficient Tensor Contractions for GPUs

2015 44th International Conference on Parallel Processing, 2015
Many scientific and numerical applications, including quantum chemistry modeling and fluid dynamics simulation, require tensor product and tensor contraction evaluation. Tensor computations are characterized by arrays with numerous dimensions, inherent parallelism, moderate data reuse and many degrees of freedom in the order in which to perform the ...
Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Boyana Norris   +6 more
openaire   +1 more source

Positive Bias Makes Tensor-Network Contraction Tractable

Symposium on the Theory of Computing
Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network is thought to mainly depend on its entanglement properties, as reflected ...
Jiaqing Jiang, Jielun Chen, Norbert Schuch, Dominik Hangleiter   +3 more
semanticscholar   +1 more source

Dynamic contraction of tensor with quantum algorithm

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017
In the paper, contraction of a dynamic vector (i.e., both the number and the individuals of elements in the vector are non-deterministic) in a tensor is programmed. It accumulates complete N-combinations of one element of every M-set by recursion algorithm for object-oriented programming.
Yinsheng Zhang, Hongjian Zhao, Fyodor O. Minakov   +2 more
openaire   +1 more source

Optimal contraction order of multiple tensors

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Computational problems involving big data require application of multiway analysis tools on modern parallel infrastructure. Tensor contraction is one the fundamental operations used in multiway analysis. Dynamic programming formulation presented in this work searches for the least memory using contraction order in multiple tensor contraction operation.
C. Kavaklioglu, A. Taylan Cemgil
openaire   +1 more source

Nonnegative contraction/averaging tensor factorization

10th Symposium on Neural Network Applications in Electrical Engineering, 2010
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of negative matrix factorization (NMF), where nonnegativity constraints are mainly imposed on CANDECOMP/PARAFAC model and recently, also, on Tucker model. Nonnegative tensor factorization algorithms have many potential applications, including multiway clustering, multi ...
Marko V. Jankovic, Branimir Reljin
openaire   +1 more source

CAST: Contraction Algorithm for Symmetric Tensors

2014 43rd International Conference on Parallel Processing, 2014
Tensor contractions represent the most compute- intensive core kernels in abinitio computational quantum chemistry and nuclear physics. Symmetries in these tensor contractions make them difficult to load balance and scale to large distributed systems. In this paper, we develop an efficient and scalable algorithm to contract symmetric tensors.
Samyam Rajbhandari, Akshay Nikam, Pai-Wei Lai, Kevin Stock, Sriram Krishnamoorthy, P. Sadayappan   +5 more
openaire   +1 more source

Effects of tensor tympani muscle contraction on the middle ear and markers of a contracted muscle

The Laryngoscope, 2012
AbstractObjectives/Hypothesis:Many otologic disorders have been attributed to dysfunction of the tensor tympani muscle, including tinnitus, otalgia, Meniere's disease and sensorineural hearing loss. The objective of this study was to determine adequate stimuli for tensor tympani contraction in humans and determine markers of the hypercontracted state ...
Manohar, Bance, Fawaz M, Makki, Philip, Garland, Wael A, Alian, Rene G, van Wijhe, Julian, Savage   +5 more
openaire   +2 more sources

Assessment of calf muscle contraction by diffusion tensor imaging

European Radiology, 2008
The goal of this study was to assess the changes of water diffusion during contraction and elongation of calf muscles using diffusion tensor (DT) MRI in normal volunteers. Twenty volunteers (mean age, 29+/-4 years) underwent DT MRI examination of the right calf.
J F, Deux, P, Malzy, N, Paragios, G, Bassez, A, Luciani, P, Zerbib, F, Roudot-Thoraval, A, Vignaud, H, Kobeiter, A, Rahmouni   +9 more
openaire   +2 more sources