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ORCIDMikhail Titov
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2020 – today
- 2025
[i13]Arup Kumar Sarker, Aymen Alsaadi, Alexander James Halpern, Prabhath Tangella, Mikhail Titov, Gregor von Laszewski, Shantenu Jha, Geoffrey C. Fox:
Deep RC: A Scalable Data Engineering and Deep Learning Pipeline. CoRR abs/2502.20724 (2025)- [i12]André Merzky, Mikhail Titov, Matteo Turilli, Ozgur O. Kilic, Tianle Wang, Shantenu Jha:
Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications. CoRR abs/2503.13343 (2025) - 2024
- [c14]Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha:
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. CCGrid 2024: 465-477 - [c13]Dewi Yokelson
, Mikhail Titov, Srinivasan Ramesh, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha, Allen D. Malony:
Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA. ICPP 2024: 220-230 - [c12]Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, André Merzky, Shantenu Jha, Geoffrey C. Fox:
Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing. JSSPP 2024: 84-102 - [i11]Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, André Merzky, Shantenu Jha, Geoffrey C. Fox:
Design and Implementation of an Analysis Pipeline for Heterogeneous Data. CoRR abs/2403.15721 (2024) - [i10]Ozgur Ozan Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, André Merzky, Line Pouchard, Shantenu Jha:
Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. CoRR abs/2403.18073 (2024) - [i9]Mikhail Titov, Robert Carson, Matthew Rolchigo, John Coleman, James F. Belak, Matthew T. Bement, Daniel E. Laney, Matteo Turilli, Shantenu Jha:
Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization. CoRR abs/2407.01484 (2024) - [i8]Matteo Turilli, Mihael Hategan-Marandiuc, Mikhail Titov, Ketan Maheshwari, Aymen Alsaadi, André Merzky, Ramon Arambula, Mikhail Zakharchanka, Matt Cowan, Justin M. Wozniak, Andreas Wilke, Ozgur Ozan Kilic, Kyle Chard, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies. CoRR abs/2407.16646 (2024) - [i7]Aymen Alsaadi, Mihael Hategan-Marandiuc, Ketan Maheshwari, André Merzky, Mikhail Titov, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
Exascale Workflow Applications and Middleware: An ExaWorks Retrospective. CoRR abs/2411.10637 (2024) - 2023
- [c11]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:
Building the I (Interoperability) of FAIR for Performance Reproducibility of Large-Scale Composable Workflows in RECUP. e-Science 2023: 1-7 - [c10]Robert Carson, Matthew Rolchigo, John Coleman, Mikhail Titov, James F. Belak, Matt Bement:
Uncertainty Quantification of Metal Additive Manufacturing Processing Conditions Through the use of Exascale Computing. SC Workshops 2023: 379-383 - [c9]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:
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops 2023: 2097-2108 - 2022
- [j4]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:
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62(1): 116-128 (2022) - [j3]André Merzky, Matteo Turilli, Mikhail Titov, Aymen Al-Saadi, Shantenu Jha:
Design and Performance Characterization of RADICAL-Pilot on Leadership-Class Platforms. IEEE Trans. Parallel Distributed Syst. 33(4): 818-829 (2022) - [c8]Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony:
The Ghost of Performance Reproducibility Past. e-Science 2022: 513-518 - [c7]Mikhail Titov, Matteo Turilli, André Merzky, Thomas J. Naughton, Wael R. Elwasif, Shantenu Jha:
RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources. JSSPP 2022: 88-107 - [i6]Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony:
The Ghost of Performance Reproducibility Past. CoRR abs/2208.13102 (2022) - 2021
- [c6]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:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. ICPP 2021: 40:1-40:12 - [c5]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:
Scalable HPC & AI infrastructure for COVID-19 therapeutics. PASC 2021: 2:1-2:13 - [c4]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:
ExaWorks: Workflows for Exascale. WORKS 2021: 50-57 - [i5]André Merzky, Matteo Turilli, Mikhail Titov, Aymen Al-Saadi, Shantenu Jha:
Design and Performance Characterization of RADICAL-Pilot on Leadership-class Platforms. CoRR abs/2103.00091 (2021) - [i4]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:
Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers. CoRR abs/2103.02843 (2021) - [i3]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:
ExaWorks: Workflows for Exascale. CoRR abs/2108.13521 (2021) - 2020
- [i2]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. CoRR abs/2010.06574 (2020) - [i1]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:
Scalable HPC and AI Infrastructure for COVID-19 Therapeutics. CoRR abs/2010.10517 (2020)
2010 – 2019
- 2018
- [c3]Alexey A. Poyda, Mikhail Titov, Alexei Klimentov, Jack C. Wells, Sarp H. Oral, Kaushik De, Danila Oleynik, Shantenu Jha:
Modeling Impact of Execution Strategies on Resource Utilization. eScience 2018: 340 - 2012
- [c2]Alexei Klimentov, A. Vaniachine, Kaushik De, Torre J. Wenaus, Sergey Panitkin, Dantong Yu, Gergely V. Záruba, Mikhail Titov:
Abstract: PanDA: Next Generation Workload Management and Analysis System for Big Data. SC Companion 2012: 1521-1522 - [c1]Kaushik De, Alexei Klimentov, Sergey Panitkin, Mikhail Titov, A. Vaniachine, Torre J. Wenaus, D. Yu, Gergely V. Záruba:
Poster: PanDA: Next Generation Workload Management and Analysis System for Big Data. SC Companion 2012: 1523
2000 – 2009
- 2007
- [j2]Sergei A. Spirin, Mikhail Titov, Anna S. Karyagina, Andrei Alexeevski:
NPIDB: a Database of Nucleic Acids-Protein Interactions. Bioinform. 23(23): 3247-3248 (2007) - 2006
- [j1]Anna S. Karyagina, Anna S. Ershova, Mikhail Titov, Ivan Olovnikov, Evgeniy Aksianov, Alexandra Ryazanova, Elena Kubareva, Sergei A. Spirin, Andrei Alexeevski:
Analysis of Conserved Hydrophobic Cores in Proteins and Supramolecular Complexes. J. Bioinform. Comput. Biol. 4(2): 357-372 (2006)
Coauthor Index
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