The Philosophy of Information: A Methodological Point of View. - Gian Maria Greco; Gianluca Paronitti; Matteo Turilli; Luciano Floridi (Wissensmanagement, 2005)

How to Do Philosophy Informationally. - Gian Maria Greco; Gianluca Paronitti; Matteo Turilli; Luciano Floridi (Wissensmanagement (LNCS Volume), 2005)

Dynamics of Control. - Jeff W. Sanders; Matteo Turilli (TASE, 2007)

Turing's Imitation Game: Still an Impossible Challenge for All Machines and Some Judges-An Evaluation of the 2008 Loebner Contest. - Luciano Floridi; Mariarosaria Taddeo; Matteo Turilli (Minds Mach., 2009)

myTrustedCloud: Trusted Cloud Infrastructure for Security-critical Computation and Data Managment. - David Wallom; Matteo Turilli; Andrew P. Martin; Anbang Ruan; Gareth A. Taylor; Nigel Hargreaves; Alan McMoran (CloudCom, 2011)

myTrustedCloud: trusted cloud infrastructure for security-critical computation and data management. - David Wallom; Matteo Turilli; Andrew P. Martin; Anbang Ruan; Gareth A. Taylor; Nigel Hargreaves; Alan McMoran (WICSA/ECSA Companion Volume, 2012)

Ethics and the practice of software design. - Matteo Turilli (2012)

Topic 6: Grid, Cluster and Cloud Computing - (Introduction). - Erwin Laure; Odej Kao; Rosa M. Badia; Laurent Lefèvre; Beniamino Di Martino; Radu Prodan; Matteo Turilli; Daniel Warneke (Euro-Par, 2013)

Federating Infrastructure as a Service Cloud Computing Systems to Create a Uniform E-infrastructure for Research. - David C. H. Wallom; Matteo Turilli; Michel Drescher; Diego Scardaci; Steven J. Newhouse (e-Science, 2015)

RADICAL-Pilot: Scalable Execution of Heterogeneous and Dynamic Workloads on Supercomputers. - André Merzky; Mark Santcroos; Matteo Turilli; Shantenu Jha (CoRR, 2015)

A Comprehensive Perspective on the Pilot-Job Abstraction. - Matteo Turilli; Mark Santcroos; Shantenu Jha (CoRR, 2015)

Integrating Abstractions to Enhance the Execution of Distributed Applications. - Matteo Turilli; Feng Liu; Zhao Zhang 007; André Merzky; Michael Wilde; Jon B. Weissman; Daniel S. Katz; Shantenu Jha (IPDPS, 2016)

A Building Blocks Approach towards Domain Specific Workflow Systems? - Shantenu Jha; Matteo Turilli (CoRR, 2016)

Analysis of Distributed Execution of Workloads. - Matteo Turilli; Yadu Nand Babuji; André Merzky; Ming Tai Ha; Michael Wilde; Daniel S. Katz; Shantenu Jha (CoRR, 2016)

Application Skeleton: Generating Synthetic Applications for Infrastructure Research. - Zhao Zhang 007; Daniel S. Katz; André Merzky; Matteo Turilli; Shantenu Jha; Yadu Nand Babuji (J. Open Source Softw., 2016)

High-Throughput Computing on High-Performance Platforms: A Case Study. - Danila Oleynik; Sergey Panitkin; Matteo Turilli; Alessio Angius; Sarp H. Oral; Kaushik De; Alexei Klimentov; Jack C. Wells; Shantenu Jha (eScience, 2017)

Evaluating Distributed Execution of Workloads. - Matteo Turilli; Yadu Nand Babuji; André Merzky; Ming Tai Ha; Michael Wilde; Daniel S. Katz; Shantenu Jha (eScience, 2017)

Converging High-Throughput and High-Performance Computing: A Case Study. - Alessio Angius; Danila Oleynik; Sergey Panitkin; Matteo Turilli; Kaushik De; Alexei Klimentov; Sarp H. Oral; Jack C. Wells; Shantenu Jha (CoRR, 2017)

Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications. - Vivek Balasubramanian; Matteo Turilli; Weiming Hu; Matthieu Lefebvre; Wenjie Lei; Guido Cervone; Jeroen Tromp; Shantenu Jha (CoRR, 2017)

Enabling Trade-offs Between Accuracy and Computational Cost: Adaptive Algorithms to Reduce Time to Clinical Insight. - Jumana Dakka; Kristof Farkas-Pall; Vivek Balasubramanian; Matteo Turilli; Shunzhou Wan; David W. Wright 001; Stefan J. Zasada; Peter V. Coveney; Shantenu Jha (CCGrid, 2018)

Building Blocks for Workflow System Middleware. - Matteo Turilli; André Merzky; Vivek Balasubramanian; Shantenu Jha (CCGrid, 2018)

Towards Exascale Computing for High Energy Physics: The ATLAS Experience at ORNL. - 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; et al. (eScience, 2018)

Concurrent and Adaptive Extreme Scale Binding Free Energy Calculations. - Jumana Dakka; Kristof Farkas-Pall; Matteo Turilli; David W. Wright 001; Peter V. Coveney; Shantenu Jha (eScience, 2018)

Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications. - Vivek Balasubramanian; Matteo Turilli; Weiming Hu; Matthieu Lefebvre; Wenjie Lei; Ryan T. Modrak; Guido Cervone; Jeroen Tromp; Shantenu Jha (IPDPS, 2018)

Using Pilot Systems to Execute Many Task Workloads on Supercomputers. - André Merzky; Matteo Turilli; Manuel Maldonado; Mark Santcroos; Shantenu Jha (JSSPP, 2018)

High-throughput binding affinity calculations at extreme scales. - Jumana Dakka; Matteo Turilli; David W. Wright 001; Stefan J. Zasada; Vivek Balasubramanian; Shunzhou Wan; Peter V. Coveney; Shantenu Jha (BMC Bioinform., 2018)

Rapid, concurrent and adaptive extreme scale binding free energy calculation. - Jumana Dakka; Kristof Farkas-Pall; Vivek Balasubramanian; Matteo Turilli; David W. Wright 001; Shunzhou Wan; Stefan J. Zasada; Peter V. Coveney; Shantenu Jha (CoRR, 2018)

Design and Performance Characterization of RADICAL-Pilot on Titan. - André Merzky; Matteo Turilli; Manuel Maldonado; Shantenu Jha (CoRR, 2018)

Towards General Distributed Resource Selection. - Ming Tai Ha; Matteo Turilli; André Merzky; Shantenu Jha (CoRR, 2018)

Implementing Adaptive Ensemble Biomolecular Applications at Scale. - Vivek Balasubramanian; Travis Jensen; Matteo Turilli; Peter M. Kasson; Michael R. Shirts; Shantenu Jha (CoRR, 2018)

A Comprehensive Perspective on Pilot-Job Systems. - Matteo Turilli; Mark Santcroos; Shantenu Jha (ACM Comput. Surv., 2018)

Synapse: Synthetic application profiler and emulator. - André Merzky; Ming Tai Ha; Matteo Turilli; Shantenu Jha (J. Comput. Sci., 2018)

Workflow Design Analysis for High Resolution Satellite Image Analysis. - Ioannis Paraskevakos; Matteo Turilli; Bento Collares Gonçalves; Heather J. Lynch; Shantenu Jha (eScience, 2019)

Deep Generative Model Driven Protein Folding Simulations. - Heng Ma; Debsindhu Bhowmik; Hyungro Lee; Matteo Turilli; Michael T. Young; Shantenu Jha; Arvind Ramanathan (PARCO, 2019)

DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding. - Hyungro Lee; Matteo Turilli; Shantenu Jha; Debsindhu Bhowmik; Heng Ma; Arvind Ramanathan (DLS@SC, 2019)

Characterizing the Performance of Executing Many-tasks on Summit. - Matteo Turilli; André Merzky; Thomas J. Naughton; Wael R. Elwasif; Shantenu Jha (IPDRM@SC, 2019)

RADICAL-Cybertools: Middleware Building Blocks for Scalable Science. - Vivek Balasubramanian; Shantenu Jha; André Merzky; Matteo Turilli (CoRR, 2019)

Middleware Building Blocks for Workflow Systems. - Matteo Turilli; Vivek Balasubramanian; André Merzky; Ioannis Paraskevakos; Shantenu Jha (Comput. Sci. Eng., 2019)

ICEBERG: Imagery Cyber-infrastructure and Extensible Building blocks to Enhance Research in the Geosciences. (A Research Programmer's Perspective). - Bradley D. Spitzbart; Heather J. Lynch; Matteo Turilli; Shantenu Jha (PEARC, 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; et al. (CoRR, 2020)

Adaptive Ensemble Biomolecular Applications at Scale. - Vivek Balasubramanian; Travis Jensen; Matteo Turilli; Peter M. Kasson; Michael R. Shirts; Shantenu Jha (SN Comput. Sci., 2020)

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; et al. (ICPP, 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; et al. (PASC, 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; et al. (WORKS, 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; et al. (CoRR, 2021)

Workflows Community Summit: Bringing the Scientific Workflows Community Together. - 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; et al. (CoRR, 2021)

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. - Alexander Brace; Hyungro Lee; Heng Ma; Anda Trifan; Matteo Turilli; Igor Yakushin; Todd S. Munson; Ian T. Foster; Shantenu Jha; Arvind Ramanathan (CoRR, 2021)

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. - Aymen Alsaadi; André Merzky; Kyle Chard; Shantenu Jha; Matteo Turilli (CoRR, 2021)

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. - 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; et al. (CoRR, 2021)

Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening. - 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 (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; et al. (CoRR, 2021)

Comparing workflow application designs for high resolution satellite image analysis. - Aymen Al-Saadi; Ioannis Paraskevakos; Bento Collares Gonçalves; Heather J. Lynch; Shantenu Jha; Matteo Turilli (Future Gener. Comput. Syst., 2021)

AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. - 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; et al. (Int. J. High Perform. Comput. Appl., 2021)

RAPTOR: Ravenous Throughput Computing. - André Merzky; Matteo Turilli; Shantenu Jha (CCGRID, 2022)

The Ghost of Performance Reproducibility Past. - Srinivasan Ramesh; Mikhail Titov; Matteo Turilli; Shantenu Jha; Allen D. Malony (e-Science, 2022)

Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. - Alexander Brace; Igor Yakushin; Heng Ma; Anda Trifan; Todd S. Munson; Ian T. Foster; Arvind Ramanathan; Hyungro Lee; Matteo Turilli; Shantenu Jha (IPDPS, 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 (JSSPP, 2022)

RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. - Aymen Alsaadi; Logan T. Ward; André Merzky; Kyle Chard; Ian T. Foster; Shantenu Jha; Matteo Turilli (WORKS@SC, 2022)

A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy. - Weiming Hu; Guido Cervone; Matteo Turilli; André Merzky; Shantenu Jha (CoRR, 2022)

Asynchronous Execution of Heterogeneous Tasks in AI-coupled HPC Workflows. - Vincent R. Pascuzzi; Matteo Turilli; Shantenu Jha (CoRR, 2022)

AI-coupled HPC Workflows. - Shantenu Jha; Vincent R. Pascuzzi; Matteo Turilli (CoRR, 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; et al. (J. Chem. Inf. Model., 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)

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. - 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; et al. (e-Science, 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 001; Ozgur O. Kilic; Shantenu Jha; Line C. Pouchard (e-Science, 2023)

Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows. - Vincent R. Pascuzzi; Ozgur O. Kilic; Matteo Turilli; Shantenu Jha (JSSPP, 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; et al. (SC Workshops, 2023)

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. - Abigail C. Dommer; Lorenzo Casalino; Fiona L. Kearns; Mia A. Rosenfeld; Nicholas Wauer; Surl-Hee Ahn; John Russo 003; A. Sofia F. Oliveira; Clare Morris; Anthony T. Bogetti; Anda Trifan; Alexander Brace; et al. (Int. J. High Perform. Comput. Appl., 2023)

Data for manuscript "Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting". - Daipayan Sarkar; Hyungro Lee; John W. Vant; Matteo Turilli; Josh Vincent Vermaas; Shantenu Jha; Abhishek Singharoy (Zenodo, 2023)

Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting. - Daipayan Sarkar; Hyungro Lee; John W. Vant; Matteo Turilli; Josh Vincent Vermaas; Shantenu Jha; Abhishek Singharoy (J. Chem. Inf. Model., 2023)

Workflow Mini-Apps: Portable, Scalable, Tunable & Faithful Representations of Scientific Workflows. - Ozgur O. Kilic; Tianle Wang 001; Matteo Turilli; Mikhail Titov; André Merzky; Line Pouchard; Shantenu Jha (CCGrid, 2024)

Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale. - Aymen Alsaadi; Matteo Turilli; Shantenu Jha (FlexScience@HPDC, 2024)

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 (ICPP, 2024)

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; André Merzky; Shantenu Jha; Geoffrey C. Fox (JSSPP, 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 C. Fox (CoRR, 2024)

Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization. - Mikhail Titov; Robert Carson; Matthew Rolchigo; John Coleman; James F. Belak; Matthew T. Bement; Daniel E. Laney; Matteo Turilli; Shantenu Jha (CoRR, 2024)

ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies. - 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; et al. (CoRR, 2024)

Exascale Workflow Applications and Middleware: An ExaWorks Retrospective. - 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 (CoRR, 2024)

radical-collaboration/PaleoSTeHM: PaleoSTeHM v1.0-rc: a modern, scalable spatio-temporal hierarchical modeling framework for paleo-environmental data. - Yucheng Lin; AHReedy; Kopp Robert; Matteo Turilli; Shantenu Jha (Zenodo, 2024)

Adaptive Protein Design Protocols and Middleware. - Aymen Alsaadi; Jonathan Ash; Mikhail Titov; Matteo Turilli; André Merzky; Shantenu Jha; Sagar Khare (IPDPS (Workshops), 2025)

Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications. - André Merzky; Mikhail Titov; Matteo Turilli; Ozgur O. Kilic; Tianle Wang 001; Shantenu Jha (IPDPS (Workshops), 2025)