Vladyslav Oles

According to our database, Vladyslav Oles authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient estimation of the modified Gromov-Hausdorff distance between unweighted graphs.

Vladyslav Oles, Nathan Lemons, Alexander Panchenko

J. Comb. Optim., September, 2024

Understanding GPU Memory Corruption at Extreme Scale: The Summit Case Study.

Vladyslav Oles, Anna Schmedding, George Ostrouchov, Woong Shin, Evgenia Smirni, Christian Engelmann

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2023

Computing the Gromov-Hausdorff distance using first-order methods.

Vladyslav Oles

CoRR, 2023

2022

Training-free hyperparameter optimization of neural networks for electronic structures in matter.

Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi

Mach. Learn. Sci. Technol., December, 2022

Lipschitz (non-)equivalence of the Gromov-Hausdorff distances, including on ultrametric spaces.

Vladyslav Oles, Kevin R. Vixie

CoRR, 2022

Climbing the Summit and Pushing the Frontier of Mixed Precision Benchmarks at Extreme Scale.

Hao Lu, Michael A. Matheson, Vladyslav Oles, J. Austin Ellis, Wayne Joubert, Feiyi Wang

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer.

Woong Shin, Vladyslav Oles, Ahmad Maroof Karimi, J. Austin Ellis, Feiyi Wang

Proceedings of the International Conference for High Performance Computing, 2021

2019

BoolSi: a tool for distributed simulations and analysis of Boolean networks.

Vladyslav Oles, Anton Kukushkin

CoRR, 2019

Efficient estimation of a Gromov-Hausdorff distance between unweighted graphs.

Vladyslav Oles, Nathan Lemons, Alexander Panchenko

CoRR, 2019