Results 71 to 80 of about 79,851 (290)
On the Performance Prediction of BLAS-based Tensor Contractions [PDF]
, 2015 Tensor operations are surging as the computational building blocks for a variety of scientific simulations and the development of high-performance kernels for such operations is known to be a challenging task. While for operations on one- and two-dimensional tensors there exist standardized interfaces and highly-optimized libraries (BLAS), for higher ...
Elmar Peise +2 more
openaire +3 more sources
Differentiable Programming Tensor Networks
Physical Review X, 2019 Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and optimizes them using gradient search. The concept emerges from deep learning but is not limited to training neural networks. We present the
Hai-Jun Liao +3 more
doaj +1 more source
Effects of dispersed fibres in myocardial mechanics, Part II: active response
Mathematical Biosciences and Engineering, 2022 This work accompanies the first part of our study "effects of dispersed fibres in myocardial mechanics: Part I passive response" with a focus on myocardial active contraction.
Debao Guan +5 more
doaj +1 more source
Tensor networks for p-spin models
Frontiers in PhysicsWe introduce a tensor network algorithm for the solution of p-spin models. We show that bond compression through rank-revealing decompositions performed during the tensor network contraction resolves logical redundancies in the system exactly and is thus
Benjamin Lanthier +2 more
doaj +1 more source
Grassmann higher-order tensor renormalization group approach for two-dimensional strong-coupling QCD
Nuclear Physics B, 2023 We present a tensor-network approach for two-dimensional strong-coupling QCD with staggered quarks at nonzero chemical potential. After integrating out the gauge fields at infinite coupling, the partition function can be written as a full contraction of ...
Jacques Bloch, Robert Lohmayer
doaj
Design of a high-performance GEMM-like Tensor-Tensor Multiplication [PDF]
arXiv, 2016 We present "GEMM-like Tensor-Tensor multiplication" (GETT), a novel approach to tensor contractions that mirrors the design of a high-performance general matrix-matrix multiplication (GEMM). The critical insight behind GETT is the identification of three index sets, involved in the tensor contraction, which enable us to systematically reduce an ...
arxiv
High-Performance Tensor Contraction without Transposition [PDF]
SIAM Journal on Scientific Computing, 2018 24 pages, 8 figures, uses ...
openaire +3 more sources
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Advanced Engineering Materials, EarlyView.Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee +3 more
wiley +1 more source
Tensor Contractions with Extended BLAS Kernels on CPU and GPU [PDF]
2016 IEEE 23rd International Conference on High Performance Computing (HiPC), 2016 Tensor contractions constitute a key computational ingredient of numerical multi-linear algebra. However, as the order and dimension of tensors grow, the time and space complexities of tensor-based computations grow quickly. Existing approaches for tensor contractions typically involves explicit copy and transpose operations.
Shi, Yang +3 more
openaire +6 more sources
Advanced Engineering Materials, EarlyView.A metallic implant's higher stiffness compared to the surrounding bone leads to stress shielding problems, causing bone density reduction and bone growth interference in pediatric patients. 3D‐printed triply periodic minimal surface structures present a promising engineering solution.
Ali Ebrahimzadeh Dehaghani +4 more
wiley +1 more source