Mikhail Titov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2012–2025
Best venue rank
A
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | JSSPP | Deep RC: A Scalable Data Engineering and Deep Learning Pipeline. | Arup Kumar Sarker, Aymen Alsaadi, Alexander James Halpern, Prabhath Tangella, Mikhail Titov, Niranda Perera, Mills Staylor, Gregor von Laszewski, Shantenu Jha, Geoffrey C. Fox |
| 2025 | SC | Integrating and Characterizing HPC Task Runtime Systems for hybrid AI-HPC workloads. | Andr Merzky, Mikhail Titov, Matteo Turilli, Shantenu Jha |
| 2024 | CCGRID | Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. | Ozgur O. Kilic, Tianle Wang, Matteo Turilli, Mikhail Titov, Andr Merzky, Line Pouchard, Shantenu Jha |
| 2024 | ICPP | Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA. | Dewi Yokelson, Mikhail Titov, Srinivasan Ramesh, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha, Allen D. Malony |
| 2024 | JSSPP | Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing. | Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, Andr Merzky, Shantenu Jha, Geoffrey C. Fox |
| 2023 | SC | 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 Cano-Lores, Anirban Mandal |
| 2023 | SC | 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 |
| 2022 | JSSPP | RADICAL-Pilot and PMIx/PRRTE: Executing Heterogeneous Workloads at Large Scale on Partitioned HPC Resources. | Mikhail Titov, Matteo Turilli, Andr Merzky, Thomas J. Naughton, Wael R. Elwasif, Shantenu Jha |
| 2021 | ICPP | IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. | Aymen Al Saadi, Dario Alf, 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 Kranzlmller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, Andr 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 |
| 2012 | SC | 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. Zruba |
| 2012 | SC | 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. Zruba, Mikhail Titov |