Mikhail Titov

According to our database, Mikhail Titov authored at least 20 papers between 2006 and 2024.

Collaborative distances:

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

2024

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows.

Ozgur Ozan Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha

CoRR, 2024

Design and Implementation of an Analysis Pipeline for Heterogeneous Data.

Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, André Merzky, Shantenu Jha, Geoffrey Fox

CoRR, 2024

2023

Uncertainty Quantification of Metal Additive Manufacturing Processing Conditions Through the use of Exascale Computing.

Robert Carson, Matthew Rolchigo, John Coleman, Mikhail Titov, James F. Belak, Matt Bement

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.

Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP.

Bogdan Nicolae, Tanzima Z. Islam, Robert B. Ross, Huub J. J. Van Dam, Kevin Assogba, Polina Shpilker, Mikhail Titov, Matteo Turilli, Tianle Wang, Ozgur O. Kilic, Shantenu Jha, Line C. Pouchard

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Design and Performance Characterization of RADICAL-Pilot on Leadership-Class Platforms.

André Merzky, Matteo Turilli, Mikhail Titov, Aymen Al-Saadi, Shantenu Jha

IEEE Trans. Parallel Distributed Syst., 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens

J. Chem. Inf. Model., 2022

RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources.

Mikhail Titov, Matteo Turilli, André Merzky, Thomas J. Naughton, Wael R. Elwasif, Shantenu Jha

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2022

The Ghost of Performance Reproducibility Past.

Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

ExaWorks: Workflows for Exascale.

Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak

CoRR, 2021

Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers.

Agastya P. Bhati, Shunzhou Wan, Dario Alfè, Austin R. Clyde, Mathis Bode, Li Tan, Mikhail Titov, André Merzky, Matteo Turilli, Shantenu Jha, Roger R. Highfield, Walter Rocchia, Nicola Scafuri, Sauro Succi, Dieter Kranzlmüller, Gerald Mathias, David Wifling, Yann Donon, Alberto Di Meglio, Sofia Vallecorsa, Heng Ma, Anda Trifan, Arvind Ramanathan, Tom Brettin, Alexander Partin, Fangfang Xia, Xiaotan Duan, Rick Stevens, Peter V. Coveney

CoRR, 2021

ExaWorks: Workflows for Exascale.

Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Scalable HPC & AI infrastructure for COVID-19 therapeutics.

Hyungro Lee, André Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick Stevens, Anda Trifan, Hubertus Van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha

Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.

Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

Scalable HPC and AI Infrastructure for COVID-19 Therapeutics.

Hyungro Lee, André Merzky, Li Tan, Mikhail Titov, Matteo Turilli, Dario Alfè, Agastya Bhati, Alex Brace, Austin Clyde, Peter V. Coveney, Heng Ma, Arvind Ramanathan, Rick Stevens, Anda Trifan, Hubertus Van Dam, Shunzhou Wan, Sean R. Wilkinson, Shantenu Jha

CoRR, 2020

2018

Modeling Impact of Execution Strategies on Resource Utilization.

Alexey A. Poyda, Mikhail Titov, Alexei Klimentov, Jack C. Wells, Sarp H. Oral, Kaushik De, Danila Oleynik, Shantenu Jha

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2012

Abstract: PanDA: Next Generation Workload Management and Analysis System for Big Data.

Alexei Klimentov, A. Vaniachine, Kaushik De, Torre J. Wenaus, Sergey Panitkin, Dantong Yu, Gergely V. Záruba, Mikhail Titov

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Poster: PanDA: Next Generation Workload Management and Analysis System for Big Data.

Kaushik De, Alexei Klimentov, Sergey Panitkin, Mikhail Titov, A. Vaniachine, Torre J. Wenaus, D. Yu, Gergely V. Záruba

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2007

NPIDB: a Database of Nucleic Acids-Protein Interactions.

Sergei A. Spirin, Mikhail Titov, Anna S. Karyagina, Andrei Alexeevski

Bioinform., 2007

2006

Analysis of Conserved Hydrophobic Cores in Proteins and Supramolecular Complexes.

Anna S. Karyagina, Anna S. Ershova, Mikhail Titov, Ivan Olovnikov, Evgeniy Aksianov, Alexandra Ryazanova, Elena Kubareva, Sergei A. Spirin, Andrei Alexeevski

J. Bioinform. Comput. Biol., 2006