Tensor field visualisation and topology constitute a rapidly evolving interdisciplinary field that merges computational mathematics, physics and computer graphics to elucidate the complex structures ...
NVIDIA has this week announced the availability of its cuTENSOR v1.4, which now supports up to 64-dimensional tensors, distributed multi-GPU tensor operations, and helps improve tensor contraction ...
Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...
Multidimensional simulations of coupled intake port/valve and in-cylinder flow structures in a pancakeshape combustion chamber engine are reported. The engine calculations include moving piston, ...
A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...
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What are tensors?
Tensors play a pivotal role in AI and deep learning systems, and share a common heritage with both physics and advanced mathematics. All of which makes it extremely difficult to lock down a definitive ...
Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of ...
The fields of finite-element analysis, failure analysis, and solid mechanics all express stresses in terms of tensors. Engineering literature usually treats a tensor as a symbol dressed with indices ...
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