Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations.

A. Toth, J. Ellis, T. Evans, S. Hamilton, C. Kelley, R. Pawlowski, and S. Slattery. SIAM J. Sci. Comput., (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Hyacinthe Ellis

Geoffrey Ellis

Austin Echema

Justyna Ellis

Sebastian Ellis

Other publications of authors with the same name

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).F. Alexander, J. Ang, J. Bilbrey, J. Balewski, T. Casey, R. Chard, J. Choi, S. Choudhury, B. Debusschere, A. DeGennaro and 37 other author(s). Int. J. High Perform. Comput. Appl., 35 (6): 598-616 (2021)Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations.A. Toth, J. Ellis, T. Evans, S. Hamilton, C. Kelley, R. Pawlowski, and S. Slattery. SIAM J. Sci. Comput., (2017)Optimization of processor allocation for domain decomposed Monte Carlo calculations.J. Ellis, T. Evans, S. Hamilton, C. Kelley, and T. Pandya. Parallel Comput., (2019)Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer.W. Shin, V. Oles, A. Karimi, J. Ellis, and F. Wang. SC, page 12. ACM, (2021)Training-free hyperparameter optimization of neural networks for electronic structures in matter.L. Fiedler, N. Hoffmann, P. Mohammed, G. Popoola, T. Yovell, V. Oles, J. Ellis, S. Rajamanickam, and A. Cangi. Mach. Learn. Sci. Technol., 3 (4): 45008 (December 2022)Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks.J. Ellis, A. Cangi, N. Modine, J. Stephens, A. Thompson, and S. Rajamanickam. CoRR, (2020)Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels.J. Ellis, and S. Rajamanickam. HPEC, page 1-7. IEEE, (2019)Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale.H. Lu, M. Matheson, V. Oles, J. Ellis, W. Joubert, and F. Wang. SC, page 78:1-78:15. IEEE, (2022)ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization.G. Moon, J. Ellis, A. Sukumaran-Rajam, S. Parthasarathy, and P. Sadayappan. KDD, page 1758-1767. ACM, (2020)

BibSonomy

Disambiguation of "Ellis, J. Austin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations.

Please choose a person to relate this publication to

Hyacinthe Ellis

Geoffrey Ellis

Austin Echema

Justyna Ellis

Sebastian Ellis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ellis, J. Austin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations.

Please choose a person to relate this publication to

Hyacinthe Ellis

Geoffrey Ellis

Austin Echema

Justyna Ellis

Sebastian Ellis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Local Improvement Results for Anderson Acceleration with Inaccurate Function Evaluations.