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Matteo Turilli
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2020 – today
- 2024
- [c34]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 - [i40]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) - [i39]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) - [i38]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) - [i37]Aymen Alsaadi, Shantenu Jha, Matteo Turilli:
Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale. CoRR abs/2407.11967 (2024) - [i36]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) - 2023
- [j13]Abigail C. Dommer, Lorenzo Casalino
, Fiona L. Kearns, Mia Rosenfeld
, Nicholas Wauer, Surl-Hee Ahn
, John Russo
, A. Sofia F. Oliveira
, Clare Morris
, Anthony T. Bogetti, Anda Trifan, Alexander Brace
, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee
, Matteo Turilli
, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao
, Sai K. Sirumalla
, Michael O'Connor, Frederick R. Manby, Anima Anandkumar
, David J. Hardy, James C. Phillips
, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell
, Tom Maiden, Lei Huang, John D. McCalpin
, Christopher J. Woods
, Alan Gray, Matt Williams
, Bryan Barker, Harinda Rajapaksha, Richard Pitts
, Tom Gibbs, John E. Stone
, Daniel M. Zuckerman
, Adrian J. Mulholland
, Thomas F. Miller III, Shantenu Jha
, Arvind Ramanathan
, Lillian T. Chong
, Rommie E. Amaro
:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023) - [j12]Daipayan Sarkar
, Hyungro Lee, John W. Vant, Matteo Turilli, Josh Vincent Vermaas
, Shantenu Jha, Abhishek Singharoy
:
Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting. J. Chem. Inf. Model. 63(18): 5834-5846 (2023) - [c33]Mihael Hategan-Marandiuc, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. e-Science 2023: 1-10 - [c32]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 - [c31]Vincent R. Pascuzzi
, Ozgur O. Kilic
, Matteo Turilli
, Shantenu Jha
:
Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows. JSSPP 2023: 27-45 - [c30]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 - [i35]Mihael Hategan-Marandiuc, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. CoRR abs/2307.07895 (2023) - 2022
- [j11]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) - [j10]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) - [c29]André Merzky, Matteo Turilli
, Shantenu Jha
:
RAPTOR: Ravenous Throughput Computing. CCGRID 2022: 595-604 - [c28]Srinivasan Ramesh, Mikhail Titov
, Matteo Turilli
, Shantenu Jha
, Allen D. Malony:
The Ghost of Performance Reproducibility Past. e-Science 2022: 513-518 - [c27]Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli
, Shantenu Jha
:
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. IPDPS 2022: 806-816 - [c26]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 - [c25]Aymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha
, Matteo Turilli
:
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. WORKS@SC 2022: 27-34 - [i34]Weiming Hu, Guido Cervone, Matteo Turilli, André Merzky, Shantenu Jha:
A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy. CoRR abs/2201.06962 (2022) - [i33]Vincent R. Pascuzzi
, Matteo Turilli, Shantenu Jha
:
Asynchronous Execution of Heterogeneous Tasks in AI-coupled HPC Workflows. CoRR abs/2208.11069 (2022) - [i32]Shantenu Jha
, Vincent R. Pascuzzi
, Matteo Turilli:
AI-coupled HPC Workflows. CoRR abs/2208.11745 (2022) - [i31]Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha
, Allen D. Malony:
The Ghost of Performance Reproducibility Past. CoRR abs/2208.13102 (2022) - [i30]André Merzky, Matteo Turilli, Shantenu Jha
:
RAPTOR: Ravenous Throughput Computing. CoRR abs/2209.00114 (2022) - 2021
- [j9]Aymen Al-Saadi, Ioannis Paraskevakos, Bento Collares Gonçalves, Heather J. Lynch, Shantenu Jha
, Matteo Turilli
:
Comparing workflow application designs for high resolution satellite image analysis. Future Gener. Comput. Syst. 124: 315-329 (2021) - [j8]Lorenzo Casalino
, Abigail C. Dommer, Zied Gaieb, Emília P. Barros
, Terra Sztain, Surl-Hee Ahn
, Anda Trifan, Alexander Brace
, Anthony T. Bogetti, Austin Clyde, Heng Ma, Hyungro Lee, Matteo Turilli
, Syma Khalid, Lillian T. Chong, Carlos Simmerling, David J. Hardy
, Julio D. C. Maia, James C. Phillips
, Thorsten Kurth, Abraham C. Stern, Lei Huang, John D. McCalpin, Mahidhar Tatineni, Tom Gibbs, John E. Stone
, Shantenu Jha
, Arvind Ramanathan, Rommie E. Amaro
:
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. Int. J. High Perform. Comput. Appl. 35(5) (2021) - [c24]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 - [c23]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 - [c22]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 - [i29]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) - [i28]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) - [i27]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier
, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i26]Alexander Brace, Hyungro Lee
, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan:
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. CoRR abs/2104.04797 (2021) - [i25]Aymen Alsaadi, André Merzky, Kyle Chard, Shantenu Jha, Matteo Turilli:
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. CoRR abs/2105.13185 (2021) - [i24]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier
, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i23]Austin Clyde, Thomas S. Brettin, Alexander Partin, Hyun Seung Yoo, Yadu N. Babuji, Ben Blaiszik, André Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens:
Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening. CoRR abs/2106.07036 (2021) - [i22]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
- [j7]Vivek Balasubramanian, Travis Jensen, Matteo Turilli
, Peter M. Kasson, Michael R. Shirts
, Shantenu Jha
:
Adaptive Ensemble Biomolecular Applications at Scale. SN Comput. Sci. 1(2): 104 (2020) - [c21]Bradley D. Spitzbart, Heather J. Lynch, Matteo Turilli, Shantenu Jha
:
ICEBERG: Imagery Cyber-infrastructure and Extensible Building blocks to Enhance Research in the Geosciences. (A Research Programmer's Perspective). PEARC 2020: 299-303 - [i21]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) - [i20]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) - [i19]Aymen Al-Saadi, Ioannis Paraskevakos, Bento Collares Gonçalves, Heather J. Lynch, Shantenu Jha, Matteo Turilli:
Comparing Workflow Application Designs for High Resolution Satellite Image Analysis. CoRR abs/2010.14756 (2020)
2010 – 2019
- 2019
- [j6]Matteo Turilli
, Vivek Balasubramanian, André Merzky
, Ioannis Paraskevakos, Shantenu Jha
:
Middleware Building Blocks for Workflow Systems. Comput. Sci. Eng. 21(4): 62-75 (2019) - [c20]Ioannis Paraskevakos, Matteo Turilli, Bento Collares Gonçalves, Heather J. Lynch, Shantenu Jha
:
Workflow Design Analysis for High Resolution Satellite Image Analysis. eScience 2019: 47-56 - [c19]Heng Ma, Debsindhu Bhowmik, Hyungro Lee
, Matteo Turilli
, Michael T. Young, Shantenu Jha
, Arvind Ramanathan:
Deep Generative Model Driven Protein Folding Simulations. PARCO 2019: 45-55 - [c18]Hyungro Lee
, Matteo Turilli
, Shantenu Jha
, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan:
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. DLS@SC 2019: 12-19 - [c17]Matteo Turilli
, André Merzky, Thomas J. Naughton, Wael R. Elwasif, Shantenu Jha
:
Characterizing the Performance of Executing Many-tasks on Summit. IPDRM@SC 2019: 18-25 - [i18]Matteo Turilli, Vivek Balasubramanian, André Merzky
, Ioannis Paraskevakos, Shantenu Jha:
Middleware Building Blocks for Workflow Systems. CoRR abs/1903.10057 (2019) - [i17]Vivek Balasubramanian, Shantenu Jha, André Merzky
, Matteo Turilli:
RADICAL-Cybertools: Middleware Building Blocks for Scalable Science. CoRR abs/1904.03085 (2019) - [i16]Ioannis Paraskevakos, Matteo Turilli, Bento Collares Gonçalves, Heather J. Lynch, Shantenu Jha:
Workflow Design Analysis for High Resolution Satellite Image Analysis. CoRR abs/1905.09766 (2019) - [i15]Matteo Turilli, André Merzky
, Thomas J. Naughton, Wael R. Elwasif, Shantenu Jha:
Characterizing the Performance of Executing Many-tasks on Summit. CoRR abs/1909.03057 (2019) - [i14]Hyungro Lee, Heng Ma, Matteo Turilli, Debsindhu Bhowmik, Shantenu Jha, Arvind Ramanathan:
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. CoRR abs/1909.07817 (2019) - 2018
- [j5]Jumana Dakka, Matteo Turilli
, David W. Wright, Stefan J. Zasada, Vivek Balasubramanian, Shunzhou Wan, Peter V. Coveney, Shantenu Jha
:
High-throughput binding affinity calculations at extreme scales. BMC Bioinform. 19-S(18): 33-45 (2018) - [j4]Matteo Turilli
, Mark Santcroos, Shantenu Jha
:
A Comprehensive Perspective on Pilot-Job Systems. ACM Comput. Surv. 51(2): 43:1-43:32 (2018) - [j3]André Merzky
, Ming Tai Ha, Matteo Turilli
, Shantenu Jha
:
Synapse: Synthetic application profiler and emulator. J. Comput. Sci. 27: 329-344 (2018) - [c16]Matteo Turilli
, André Merzky, Vivek Balasubramanian, Shantenu Jha
:
Building Blocks for Workflow System Middleware. CCGrid 2018: 348-349 - [c15]Jumana Dakka, Kristof Farkas-Pall, Vivek Balasubramanian, Matteo Turilli
, Shunzhou Wan, David W. Wright, Stefan J. Zasada, Peter V. Coveney, Shantenu Jha
:
Enabling Trade-offs Between Accuracy and Computational Cost: Adaptive Algorithms to Reduce Time to Clinical Insight. CCGrid 2018: 572-577 - [c14]Jumana Dakka, Kristof Farkas-Pall, Matteo Turilli
, David W. Wright, Peter V. Coveney, Shantenu Jha
:
Concurrent and Adaptive Extreme Scale Binding Free Energy Calculations. eScience 2018: 189-200 - [c13]V. Ananthraj, Kaushik De, Shantenu Jha, Alexei Klimentov, Danila Oleynik, Sarp H. Oral, André Merzky, Ruslan Mashinistov, Sergey Panitkin, P. Svirin, Matteo Turilli
, Jack C. Wells, Sean R. Wilkinson
:
Towards Exascale Computing for High Energy Physics: The ATLAS Experience at ORNL. eScience 2018: 341-342 - [c12]Vivek Balasubramanian, Matteo Turilli
, Weiming Hu
, Matthieu Lefebvre, Wenjie Lei, Ryan T. Modrak, Guido Cervone, Jeroen Tromp
, Shantenu Jha
:
Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications. IPDPS 2018: 536-545 - [c11]André Merzky, Matteo Turilli
, Manuel Maldonado, Mark Santcroos, Shantenu Jha
:
Using Pilot Systems to Execute Many Task Workloads on Supercomputers. JSSPP 2018: 61-82 - [i13]Jumana Dakka, Kristof Farkas-Pall, Vivek Balasubramanian, Matteo Turilli, David W. Wright, Shunzhou Wan, Stefan J. Zasada, Peter V. Coveney, Shantenu Jha:
Rapid, concurrent and adaptive extreme scale binding free energy calculation. CoRR abs/1801.01174 (2018) - [i12]André Merzky
, Matteo Turilli, Manuel Maldonado, Shantenu Jha:
Design and Performance Characterization of RADICAL-Pilot on Titan. CoRR abs/1801.01843 (2018) - [i11]Ming Tai Ha, Matteo Turilli, André Merzky
, Shantenu Jha:
Towards General Distributed Resource Selection. CoRR abs/1801.02651 (2018) - [i10]Vivek Balasubramanian, Travis Jensen, Matteo Turilli, Peter M. Kasson, Michael R. Shirts, Shantenu Jha:
Implementing Adaptive Ensemble Biomolecular Applications at Scale. CoRR abs/1804.04736 (2018) - [i9]André Merzky
, Ming Tai Ha, Matteo Turilli, Shantenu Jha:
Synapse: Synthetic Application Profiler and Emulator. CoRR abs/1808.00684 (2018) - 2017
- [c10]Matteo Turilli
, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz
, Shantenu Jha
:
Evaluating Distributed Execution of Workloads. eScience 2017: 276-285 - [c9]Danila Oleynik
, Sergey Panitkin, Matteo Turilli
, Alessio Angius, Sarp H. Oral
, Kaushik De
, Alexei Klimentov, Jack C. Wells
, Shantenu Jha
:
High-Throughput Computing on High-Performance Platforms: A Case Study. eScience 2017: 295-304 - [i8]Alessio Angius, Danila Oleynik, Sergey Panitkin, Matteo Turilli, Kaushik De, Alexei Klimentov, Sarp H. Oral, Jack C. Wells
, Shantenu Jha:
Converging High-Throughput and High-Performance Computing: A Case Study. CoRR abs/1704.00978 (2017) - [i7]Vivek Balasubramanian, Matteo Turilli, Weiming Hu, Matthieu Lefebvre, Wenjie Lei, Guido Cervone, Jeroen Tromp, Shantenu Jha:
Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications. CoRR abs/1710.08491 (2017) - [i6]Jumana Dakka, Matteo Turilli, David W. Wright, Stefan J. Zasada, Vivek Balasubramanian, Shunzhou Wan, Peter V. Coveney, Shantenu Jha:
High-throughput Binding Affinity Calculations at Extreme Scales. CoRR abs/1712.09168 (2017) - 2016
- [j2]Zhao Zhang
, Daniel S. Katz
, André Merzky
, Matteo Turilli
, Shantenu Jha
, Yadu Nand Babuji
:
Application Skeleton: Generating Synthetic Applications for Infrastructure Research. J. Open Source Softw. 1(1): 17 (2016) - [c8]Matteo Turilli
, Feng Liu, Zhao Zhang, André Merzky, Michael Wilde, Jon B. Weissman, Daniel S. Katz
, Shantenu Jha
:
Integrating Abstractions to Enhance the Execution of Distributed Applications. IPDPS 2016: 953-962 - [i5]Matteo Turilli, Yadu Nand Babuji, André Merzky
, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha:
Analysis of Distributed Execution of Workloads. CoRR abs/1605.09513 (2016) - [i4]Shantenu Jha, Matteo Turilli:
A Building Blocks Approach towards Domain Specific Workflow Systems? CoRR abs/1609.03484 (2016) - 2015
- [c7]David C. H. Wallom
, Matteo Turilli
, Michel Drescher, Diego Scardaci, Steven J. Newhouse:
Federating Infrastructure as a Service Cloud Computing Systems to Create a Uniform E-infrastructure for Research. e-Science 2015: 155-164 - [i3]Matteo Turilli, Feng Liu, Zhao Zhang, André Merzky
, Michael Wilde, Jon B. Weissman, Daniel S. Katz, Shantenu Jha:
Integrating Abstractions to Enhance the Execution of Distributed Applications. CoRR abs/1504.04720 (2015) - [i2]Matteo Turilli, Mark Santcroos, Shantenu Jha:
A Comprehensive Perspective on the Pilot-Job Abstraction. CoRR abs/1508.04180 (2015) - [i1]André Merzky
, Mark Santcroos, Matteo Turilli, Shantenu Jha:
RADICAL-Pilot: Scalable Execution of Heterogeneous and Dynamic Workloads on Supercomputers. CoRR abs/1512.08194 (2015) - 2013
- [c6]Erwin Laure, Odej Kao, Rosa M. Badia
, Laurent Lefèvre, Beniamino Di Martino
, Radu Prodan
, Matteo Turilli
, Daniel Warneke:
Topic 6: Grid, Cluster and Cloud Computing - (Introduction). Euro-Par 2013: 241 - 2012
- [b1]Matteo Turilli:
Ethics and the practice of software design. University of Oxford, UK, 2012 - [c5]David Wallom
, Matteo Turilli
, Andrew P. Martin
, Anbang Ruan, Gareth A. Taylor
, Nigel Hargreaves, Alan McMoran:
myTrustedCloud: trusted cloud infrastructure for security-critical computation and data management. WICSA/ECSA Companion Volume 2012: 82-83 - 2011
- [c4]David Wallom
, Matteo Turilli
, Andrew P. Martin
, Anbang Ruan, Gareth A. Taylor
, Nigel Hargreaves, Alan McMoran:
myTrustedCloud: Trusted Cloud Infrastructure for Security-critical Computation and Data Managment. CloudCom 2011: 247-254
2000 – 2009
- 2009
- [j1]Luciano Floridi
, Mariarosaria Taddeo, Matteo Turilli
:
Turing's Imitation Game: Still an Impossible Challenge for All Machines and Some Judges-An Evaluation of the 2008 Loebner Contest. Minds Mach. 19(1): 145-150 (2009) - 2007
- [c3]Jeff W. Sanders, Matteo Turilli
:
Dynamics of Control. TASE 2007: 440-449 - 2005
- [c2]Gian Maria Greco, Gianluca Paronitti, Matteo Turilli, Luciano Floridi:
The Philosophy of Information: A Methodological Point of View. Wissensmanagement 2005: 563-570 - [c1]Gian Maria Greco
, Gianluca Paronitti, Matteo Turilli
, Luciano Floridi
:
How to Do Philosophy Informationally. Wissensmanagement (LNCS Volume) 2005: 623-634
Coauthor Index
aka: Yadu Nand Babuji
aka: Vivek Balasubramanian
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