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pitts 0.9.6

Röhrig-Zöllner, Melven and Becklas, Manuel Joey (2024) pitts 0.9.6. [Other]

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Official URL: https://github.com/melven/pitts

Abstract

PITTS--Parallel Iterative Tensor-Train Solvers--is a small header-only C++20 library for numerical algorithms with low-rank tensor approximations in tensor train form (TT format, see 2 and 3). Algorithms are parallelized for multi-core CPU clusters using OpenMP and MPI. Currently provides a fast TT-SVD implementation (algorithm to compress a dense tensor in the TT format), and methods for solving linear systems (symmetric and non-symmetric) in tensor-train format (TT-GMRES 4, TT-MALS 5, TT-AMEn 6). Bindings to other languages / libraries: * Python: complete functionality using pybind11 with numpy-compatible interface * ITensor (C++): conversion to/from MPS and MPO * Julia (JlCxx): basic data types and TSQR algorithm

Item URL in elib:https://elib.dlr.de/208113/
Document Type:Other
Title:pitts 0.9.6
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Röhrig-Zöllner, MelvenUNSPECIFIEDhttps://orcid.org/0000-0001-9851-5886UNSPECIFIED
Becklas, Manuel JoeyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:14 September 2024
Refereed publication:No
Open Access:No
DOI:10.5281/zenodo.13762681
Status:Published
Keywords:tensor-networks, linear algebra, tensor-train, matrix product states
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Quantum Computing Initiative
DLR - Program:QC AW - Applications
DLR - Research theme (Project):QC - QuTeNet
Location: Köln-Porz
Institutes and Institutions:Institute of Software Technology
Institute of Software Technology > High-Performance Computing
Deposited By: Röhrig-Zöllner, Melven
Deposited On:19 Nov 2024 11:44
Last Modified:19 Nov 2024 11:44

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