Results 261 to 270 of about 666,598 (288)
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FLAASH: Flexible Accelerator Architecture for Sparse High-Order Tensor Contraction
arXiv.orgTensors play a vital role in machine learning (ML) and often exhibit properties best explored while maintaining high-order. Efficiently performing ML computations requires taking advantage of sparsity, but generalized hardware support is challenging ...
Gabriel Kulp +2 more
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POSTER: Optimizing Sparse Tensor Contraction with Revisiting Hash Table Design
ACM SIGPLAN Symposium on Principles & Practice of Parallel ProgrammingSparse tensor contraction (SpTC) serves as an essential operation in high-performance applications. The high dimensionality of sparse tensors makes SpTC fundamentally challenging in aspects such as costly multidimensional index search, extensive ...
Guofeng Feng +4 more
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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 +4 more
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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 +4 more
semanticscholar +1 more source
Optimizing Tensor Contraction Paths: A Greedy Algorithm Approach With Improved Cost Functions
arXiv.orgFinding efficient tensor contraction paths is essential for a wide range of problems, including model counting, quantum circuits, graph problems, and language models.
Sheela Orgler, Mark Blacher
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Positive Bias Makes Tensor-Network Contraction Tractable
Symposium on the Theory of ComputingTensor 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 +3 more
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Parallel convolutional processing using an integrated photonic tensor core
Nature, 2021Johannes Feldmann, Nathan Youngblood
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Tensor lattice field theory for renormalization and quantum computing
Reviews of Modern Physics, 2022Yannick Meurice +2 more
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Third-order nonlinear Hall effect induced by the Berry-connection polarizability tensor
Nature Nanotechnology, 2021Shen Lai, Huiying Liu, Zhaowei Zhang
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Higher-dimensional processing using a photonic tensor core with continuous-time data
Nature Photonics, 2023Bowei Dong +2 more
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Measurement of the quantum geometric tensor and of the anomalous Hall drift
Nature, 2020Antonio Gianfrate +2 more
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