8 Publications

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[8]
2020 | Journal Article | LibreCat-ID: 16277
Kühne, Thomas, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[7]
2020 | Preprint | LibreCat-ID: 16898
Lass, Michael, et al. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. 2020.
LibreCat | arXiv
 
[6]
2020 | Journal Article | LibreCat-ID: 12878
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 
[5]
2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.
LibreCat | DOI | arXiv
 
[4]
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.
LibreCat | DOI | arXiv
 
[3]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, et al. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.” Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, 2018, doi:10.1145/3218176.3218231.
LibreCat | DOI | arXiv
 
[2]
2016 | Conference Paper | LibreCat-ID: 169
Kühne, Thomas, et al. “Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application.” Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016), 2016, pp. 278--293, doi:10.1007/978-3-319-30668-1_18.
LibreCat | Files available | DOI
 
[1]
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, et al. “Using Approximate Computing in Scientific Codes.” Workshop on Approximate Computing (AC), 2016.
LibreCat
 

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8 Publications

Mark all

[8]
2020 | Journal Article | LibreCat-ID: 16277
Kühne, Thomas, et al. “CP2K: An Electronic Structure and Molecular Dynamics Software Package - Quickstep: Efficient and Accurate Electronic Structure Calculations.” The Journal of Chemical Physics, vol. 152, no. 19, 194103, 2020, doi:10.1063/5.0007045.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[7]
2020 | Preprint | LibreCat-ID: 16898
Lass, Michael, et al. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. 2020.
LibreCat | arXiv
 
[6]
2020 | Journal Article | LibreCat-ID: 12878
Rengaraj, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
LibreCat | DOI | Download (ext.) | arXiv
 
[5]
2019 | Journal Article | LibreCat-ID: 21
Richters, Dorothee, et al. “A General Algorithm to Calculate the Inverse Principal P-Th Root of Symmetric Positive Definite Matrices.” Communications in Computational Physics, vol. 25, no. 2, Global Science Press, 2019, pp. 564–85, doi:10.4208/cicp.OA-2018-0053.
LibreCat | DOI | arXiv
 
[4]
2018 | Journal Article | LibreCat-ID: 20
Lass, Michael, et al. “Using Approximate Computing for the Calculation of Inverse Matrix P-Th Roots.” Embedded Systems Letters, vol. 10, no. 2, IEEE, 2018, pp. 33–36, doi:10.1109/LES.2017.2760923.
LibreCat | DOI | arXiv
 
[3]
2018 | Conference Paper | LibreCat-ID: 1590
Lass, Michael, et al. “A Massively Parallel Algorithm for the Approximate Calculation of Inverse P-Th Roots of Large Sparse Matrices.” Proc. Platform for Advanced Scientific Computing (PASC) Conference, ACM, 2018, doi:10.1145/3218176.3218231.
LibreCat | DOI | arXiv
 
[2]
2016 | Conference Paper | LibreCat-ID: 169
Kühne, Thomas, et al. “Patterns for Constructing Mutation Operators: Limiting the Search Space in a Software Engineering Application.” Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016), 2016, pp. 278--293, doi:10.1007/978-3-319-30668-1_18.
LibreCat | Files available | DOI
 
[1]
2016 | Conference Paper | LibreCat-ID: 25
Lass, Michael, et al. “Using Approximate Computing in Scientific Codes.” Workshop on Approximate Computing (AC), 2016.
LibreCat
 

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Citation Style: MLA

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