The quantum structure of matter grand challenge project: large-scale 3-D solutions in relativistic quantum dynamics. - Jack C. Wells; Volker E. Oberacker; A. Sait Umar; C. Bottcher; M. R. Strayer; John B. Drake; R. Flanery (SC, 1993)

Early Evaluation of the SRC-6. - Patrick H. Worley; Arthur S. Bland; Thomas H. Dunigan; Philip F. LoCascio; G. (Kumar) Mahinthakumar; Jack C. Wells (PP, 1999)

Asynchronous Computing and Emergence of Computational Chaos. - Jacob Barhen; Vladimir A. Protopopescu; Sarit Barhen; Jack C. Wells (ADHS, 2003)

Emergence of computational chaos in asynchronous neurocomputing. - Sarit Barhen; Vladimir A. Protopopescu; Jack Wells 001; Neena Imam; Jacob Barhen (IJCNN, 2004)

GMG - A guaranteed global optimization algorithm: Application to remote sensing. - Cassius D'Helon; Vladimir A. Protopopescu; Jack C. Wells; Jacob Barhen (Math. Comput. Model., 2007)

Identification of User Facility Related Publications. - Robert M. Patton; Christopher G. Stahl; Thomas E. Potok; Jack C. Wells (D Lib Mag., 2012)

Multi-year Content Analysis of User Facility Related Publications. - Robert M. Patton; Christopher G. Stahl; Jayson B. Hines; Thomas E. Potok; Jack C. Wells (D Lib Mag., 2013)

Measuring Scientific Impact Beyond Citation Counts. - Robert M. Patton; Christopher G. Stahl; Jack C. Wells (D Lib Mag., 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)

Audience Based View of Publication Impact. - Robert M. Patton; Drahomira Herrmannova; Christopher G. Stahl; Jack C. Wells; Thomas E. Potok (WOSP@JCDL, 2017)

CAASCADE: A System for Static Analysis of HPC Software Application Portfolios. - M. Graham Lopez; Oscar R. Hernandez; Reuben D. Budiardja; Jack C. Wells (ESPT/VPA@SC, 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)

Research Collaboration Analysis Using Text and Graph Features. - Drahomira Herrmannova; Petr Knoth; Christopher G. Stahl; Robert M. Patton; Jack C. Wells (CICLing (2), 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)

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 (eScience, 2018)

A fast scalable implicit solver for nonlinear time-evolution earthquake city problem on low-ordered unstructured finite elements with artificial intelligence and transprecision computing. - Tsuyoshi Ichimura; Kohei Fujita; Takuma Yamaguchi; Akira Naruse; Jack C. Wells; Thomas C. Schulthess; Tjerk P. Straatsma; Christopher Zimmer 001; Maxime Martinasso; Kengo Nakajima; Muneo Hori; Lalith Maddegedara (SC, 2018)

Compile-Time Library Call Detection Using CAASCADE and XALT. - Jisheng Zhao; Oscar R. Hernandez; Reuben D. Budiardja; M. Graham Lopez; Vivek Sarkar; Jack C. Wells (ISC Workshops, 2018)

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - Gabrielle Allen; Igor Andreoni; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; Zachariah B. Etienne; Daniel George; et al. (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

Early experiences on Summit: Data analytics and AI applications. - David E. Womble; Mallikarjun Shankar; Wayne Joubert; J. Travis Johnston; Jack C. Wells; Jeffrey A. Nichols (IBM J. Res. Dev., 2019)

Low-Order Finite Element Solver with Small Matrix-Matrix Multiplication Accelerated by AI-Specific Hardware for Crustal Deformation Computation. - Takuma Yamaguchi; Kohei Fujita; Tsuyoshi Ichimura; Akira Naruse; Jack C. Wells; Christopher Zimmer 001; Tjerk P. Straatsma; Muneo Hori; Lalith Maddegedara; Naonori Ueda (PASC, 2020)

Workflow Submit Nodes as a Service on Leadership Class Systems. - George Papadimitriou 002; Karan Vahi; Jason Kincl; Valentine Anantharaj; Ewa Deelman; Jack C. Wells (PEARC, 2020)

Pre-exascale accelerated application development: The ORNL Summit experience. - Lixiang Luo; Tjerk P. Straatsma; Luis Enrique Aguilar-Suárez; Ria Broer; Dmytro Bykov; Eduardo F. D'Azevedo; Shirin S. Faraji; Kalyana C. Gottiparthi; Coen de Graaf; James Austin Harris; Remco W. A. Havenith; Hans Jørgen Aagard Jensen; et al. (IBM J. Res. Dev., 2020)

Enabling ISO Standard Languages for Complex HPC Workflows. - M. Graham Lopez; Jeff R. Hammond; Jack C. Wells; Tom Gibbs; Timothy B. Costa (SMC, 2021)

NVIDIA's Cloud Native Supercomputing. - Gilad Shainer; Richard L. Graham; Chris J. Newburn; Oscar R. Hernandez; Gil Bloch; Tom Gibbs; Jack C. Wells (SMC, 2021)

Heterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach. - Tsuyoshi Ichimura; Kohei Fujita; Muneo Hori; Lalith Maddegedara; Jack C. Wells; Alan Gray; Ian Karlin; John Linford (SC Workshops, 2024)