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Local List Recovery of High-rate Tensor Codes and Applications [article]

Brett Hemenway, Noga Ron-Zewi, Mary Wootters
2017 arXiv   pre-print
Instantiating this with known constructions of high-rate globally list-recoverable codes and high-rate locally decodable codes finishes the construction.  ...  In this work, we give the first construction of high-rate locally list-recoverable codes.  ...  The second author would like to thank Swastik Kopparty for raising the question of obtaining capacity achieving locally list decodable codes which was a direct trigger for this work as well as previous  ... 
arXiv:1706.03383v1 fatcat:uzkqy327czg3thr3eg7nebgjyy

On List Recovery of High-Rate Tensor Codes

Swastik Kopparty, Nicolas Resch, Noga Ron-Zewi, Shubhangi Saraf, Shashwat Silas
2020 IEEE Transactions on Information Theory  
We continue the study of list recovery properties of high-rate tensor codes, initiated by Hemenway, and Wootters (FOCS'17).  ...  This bound implies in turn a nearly-tight lower bound of N Ω(1/ log log N ) on the product of query complexity and output list size for locally list recovering high-rate tensor codes.  ...  Theorem 4 (Local list recovery of high-rate tensor codes). The following holds for any δ, α > 0, and s = poly(1/δ, 1/α).  ... 
doi:10.1109/tit.2020.3023962 fatcat:myxnubyhkbdeblp52asmjq3d5q

Improved decoding of Folded Reed-Solomon and Multiplicity Codes [article]

Swastik Kopparty, Noga Ron-Zewi, Shubhangi Saraf, Mary Wootters
2018 arXiv   pre-print
Folded Reed-Solomon codes were the first explicit constructions of codes known to achieve list-decoding capacity; multivariate multiplicity codes were the first constructions of high-rate locally correctable  ...  Using our result on univariate multiplicity codes, we show that multivariate multiplicity codes are high-rate, locally list-recoverable codes.  ...  Acknowledgements We would like to thank Atri Rudra and Venkatesan Guruswami for helpful discussions.  ... 
arXiv:1805.01498v1 fatcat:7nuc5xduhfd3hfuzokpj6544za

Branching MERA codes: A natural extension of classical and quantum polar codes

Andrew James Ferris, David Poulin
2014 2014 IEEE International Symposium on Information Theory  
We introduce a new class of circuits for constructing efficiently decodable quantum and classical error-correction codes, based on a recently discovered contractible tensor network known as branching multi-scale  ...  We perform an in-depth study of a particular example that can be thought of as an extension to Arikan's polar code [2]-[4].  ...  DP would like to acknowledge support from NSERC and FQRNT through the network INTRIQ. Computational resources were provided by Compute Canada and Calcul Québec.  ... 
doi:10.1109/isit.2014.6874999 dblp:conf/isit/FerrisP14 fatcat:bvi3ip55rngrfbkpxtlx7cvvoy

Using synchrotron radiation to improve understanding of deformation of polycrystalline metals by measuring, modelling and publishing 4D information

D Greeley, M Yaghoobi, D Pagan, V Sundararaghavan, J Allison
2019 IOP Conference Series: Materials Science and Engineering  
The evolution of deformation in a Mg-Nd alloy has been investigated using 3D HEDM and crystal plasticity simulation using the PRISMS-Plasticity CPFE Code.  ...  The results of these HEDM experiments and PRISMS-Plasticity simulations have been stored in the Materials Commons in a straight-forward manner and are being made available as a published dataset.  ...  Department of Energy, Office of Basic Energy Sciences, Division of Materals Sciences and Engineering under Award #DE-SC0008637 as part of the Center for PRedictive Integrated Structural Materials Science  ... 
doi:10.1088/1757-899x/580/1/012017 fatcat:yjjr6zl2ubgklfimdlgfb22o4a

A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications [article]

Zheng Zhang and Tsui-Wei Weng and Luca Daniel
2016 arXiv   pre-print
This idea is formulated as a tensor recovery problem with sparse and low-rank constraints; and it is solved with an alternating minimization approach.  ...  of a high-dimensional data array.  ...  Tensor and Tensor Decomposition 1) Tensor: Tensor is a high-dimensional generalization of matrix.  ... 
arXiv:1611.02256v1 fatcat:4oxoayrcwne7fezuhpa63kmcei

Extending stability beyond CPU millennium

J. N. Glosli, D. F. Richards, K. J. Caspersen, R. E. Rudd, J. A. Gunnels, F. H. Streitz
2007 Proceedings of the 2007 ACM/IEEE conference on Supercomputing - SC '07  
scalability, and improve overall application performance.  ...  The advances are in three key areas for massively parallel computation such as on BlueGene/L (BG/L): fault tolerance, application kernel optimization, and distribution across the parallel architecture.  ...  We are currently pursuing strategies to optimize the organization of the neighbor list. As was mentioned above, forstress has additional code for computing the stress tensor.  ... 
doi:10.1145/1362622.1362700 dblp:conf/sc/GlosliRCRGS07 fatcat:kv7n4nxehraahds6ihlhcafsz4

Tensor-Factorization-Based 3d Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation

J. Hatvani, A. Basarab, J. Michetti, M. Gyongy, D. Kouame
2019 2019 IEEE International Conference on Image Processing (ICIP)  
In this work a joint alternating recovery of the high-resolution image and of the unknown point spread function parameters is proposed. The method is evaluated on dental computed tomography images.  ...  That method allowed a 2-order-of-magnitude faster high-resolution image reconstruction with equivalent image quality compared to state-of-the-art algorithms.  ...  METHODS Problem formulation The classical image degradation model of SISR defines the LR image ( Y ∈ R I/r1×J/r2×K/r3 ) as a downsampled (with rate r 1 = r 2 = r 3 = r in our application) and blurred  ... 
doi:10.1109/icip.2019.8803354 dblp:conf/icip/HatvaniBMGK19 fatcat:kcwxekadqjhqblrzizvsvwps7u


Yu-Ru Lin, K. Selçcuk Candan, Hari Sundaram, Lexing Xie
2011 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Finally, the data is dynamic; structural changes can occur at multiple time scales and be localized to a subset of users.  ...  We show that, through the use of randomized tensor ensembles, SCENT is able to encode the observed tensor streams in the form of compact descriptors.  ...  ACKNOWLEDGMENTS We thank Jimeng Sun for providing us with the DTA source code, Nan Cao for helping prepare the DBLP dataset, and Mahsa Mojtahedi for the help with the experiment resources.  ... 
doi:10.1145/2037676.2037686 fatcat:4b25ljdh6rbztjmorizls3r4ju

WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data [chapter]

Quan Do, Thanh Pham, Wei Liu, Kotagiri Ramamohanarao
2016 Lecture Notes in Computer Science  
Learning from imbalanced and sparse data in multi-mode and high-dimensional tensor formats efficiently is a significant problem in data mining research.  ...  Importantly, we have also investigated the implication of joint analysis of the main tensor and extra information.  ...  to different datasets and applications.  ... 
doi:10.1007/978-3-319-48740-3_40 fatcat:6hiycfo66bfolkcoqk57mvxx54

Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs [article]

Fernando Fernandes dos Santos, Sujit Malde, Carlo Cazzaniga, Christopher Frost, Luigi Carro, Paolo Rech
2021 arXiv   pre-print
We investigate the sources of Detected Unrecoverable Errors (DUEs) in GPUs exposed to neutron beams. Illegal memory accesses and interface errors are among the more likely sources of DUEs.  ...  Our test procedure has shown that ECC can reduce the DUEs caused by Illegal Address access up to 92% for Kepler and 98% for Volta.  ...  Tested Codes: We chose the eight representative codes listed in Table I , from HPC and deep learning domains.  ... 
arXiv:2108.00554v1 fatcat:j3q2aqqyzffstdnd7j4i3ndk44

FE modelling of small punch creep test using Kocks-Mecking-Estrin model

H.K. Al-Abedy, I.A. Jones, W. Sun
2018 Ubiquity Proceedings  
Acknowledgements: The first author would like to take this opportunity to thank the Ministry of Higher Education and Scientific Research/ Iraq for their financial support to his PhD research at the University  ...  of Nottingham.  ...  rate, ℕ ij is the flow direction tensor, and S ij denotes the deviatoric stress tensor, while the quantities in Equation (18) The UMAT Coding and Implementation The FE software ABAQUS permits the  ... 
doi:10.5334/uproc.3 fatcat:ctrcvrey3ra7nae3k2eykdjjnm

Diffusion Tensor Imaging

Xiaohong Joe Zhou, Keith R. Thulborn
2003 Current Protocols in Magnetic Resonance Imaging  
With the ongoing research and development, the scope of DTI applications is expected to expand in the future.  ...  The intensity of each color-coded pixel denotes the amplitude of the selected diffusion anisotropy index.  ...  Norman Leeds, Jeffrey Weinberg, Christof Karmonik, and Bryan Mock for helpful discussions. Literature Cited  ... 
doi:10.1002/0471142719.mia0604s11 fatcat:cjvan7tyjjcizhadfhwoffnvnm

Extending TensorFlow's Semantics with Pipelined Execution [article]

Sam Whitlock, James Larus, Edouard Bugnion
2019 arXiv   pre-print
This results in a sustained genome alignment and sorting rate of 321 megabases/second, using the compute and I/O resources of 20 computers.  ...  TensorFlow's native runtime executes the application with low overhead across a diverse set of hardware including CPUs, GPUs, and ASICs.  ...  The I/O rate shown in Figure 7b shows the aggregate I/O rate measured at the NIC; the aggregate is computed across all local pipelines of the same type.  ... 
arXiv:1908.09291v1 fatcat:fvby5lysrreitec4gfyrfdfxlu

Approximate Bacon-Shor code and holography

ChunJun Cao, Brad Lackey
2021 Journal of High Energy Physics  
This code admits a local log-depth encoding/decoding circuit, and can be represented as a holographic tensor network which satisfies an analog of the Ryu-Takayanagi formula and reproduces features of the  ...  The locality of the bulk degrees of freedom becomes subspace-dependent and approximate.  ...  , where the application of gates is directly related to spatially local tensor moves.  ... 
doi:10.1007/jhep05(2021)127 fatcat:afgrjjfqejcybp7zury4jpinqy
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