Rick L. Stevens

78 papers A* 3A 11B 1C 3Misc 1Journal 36Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
Briefings Bioinform.
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2026 J jnl
PRISM: Protocol Refinement through Intelligent Simulation Modeling.
CoRR
Brian Hsu, Priyanka Setty, Rory Butler, Ryan Lewis, Casey Stone, Rebecca Weinberg, Thomas S. Brettin, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan
2025 — conf
AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine.
MLSys
Carlo Siebenschuh, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Arham Mushtaq Khan, Khalid Hossain, Yadu N. Babuji, Nicholas Chia, Venkatram Vishwanath, Arvind Ramanathan, Rick L. Stevens, Ian T. Foster, Robert Underwood
2025 — conf
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models.
SC Workshops
Ozan Gökdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens
2025 J jnl
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models.
CoRR
Ozan Gökdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens
2025 J jnl
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
CoRR
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025 — conf
Bidirectional Hierarchical Protein Multi-Modal Representation Learning.
MLHC
Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick L. Stevens
2025 J jnl
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting.
Briefings Bioinform.
Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Fangfang Xia, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick L. Stevens
2025 — conf
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization.
MLHC
Xuefeng Liu, Songhao Jiang, Ian T. Foster, Jinbo Xu, Rick L. Stevens
2025 J jnl
Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins.
CoRR
Matthew Sinclair, Moeen Meigooni, Archit Vasan, Ozan Gökdemir, Xinran Lian, Heng Ma, Yadu N. Babuji, Alexander Brace, Khalid Hossain, Carlo Siebenschuh, Thomas S. Brettin, Kyle Chard, Christopher S. Henry, Venkatram Vishwanath, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan
2024 J jnl
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.
CoRR
Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens
2024 J jnl
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches.
CoRR
Xuefeng Liu, Songhao Jiang, Xiaotian Duan, Archit Vasan, Chong Liu, Chih-chan Tien, Heng Ma, Thomas S. Brettin, Fangfang Xia, Ian T. Foster, Rick L. Stevens
2024 J jnl
CACHE Challenge #1: Targeting the WDR Domain of LRRK2, A Parkinson's Disease Associated Protein.
J. Chem. Inf. Model.
Fengling Li, Suzanne Ackloo, Cheryl H. Arrowsmith, Fuqiang Ban, Christopher J. Barden, Hartmut Beck, Jan Beránek, Francois Berenger, Albina Bolotokova, Guillaume Bret, Marko Breznik, Emanuele Carosati, Irene Chau, Yu Chen, Artem Cherkasov, Dennis Della Corte, Katrin Denzinger, Aiping Dong, Sorin Draga, Ian Dunn, Kristina Edfeldt, Aled M. Edwards, Merveille K. I. Eguida, Paul Eisenhuth, Lukas Friedrich, Alexander Fuerll, Spencer S. Gardiner, Francesco Gentile, Pegah Ghiabi, Elisa Gibson, Marta Glavatskikh, Christoph Gorgulla, Judith Guenther, Anders Gunnarsson, Filipp Gusev, Evgeny Gutkin, Levon Halabelian, Rachel J. Harding, Alexander Hillisch, Laurent Hoffer, Anders Hogner, Scott Houliston, John J. Irwin, Olexandr Isayev, Aleksandra Ivanova, Célien Jacquemard, Austin J. Jarrett, Jan H. Jensen, Dmitri Kireev, Julian Kleber, S. Benjamin Koby, David Koes, Ashutosh Kumar, Maria G. Kurnikova, Alina Kutlushina, Uta F. Lessel, Fabian Liessmann, Sijie Liu, Wei Lu, Jens Meiler, Akhila Mettu, Guzel Minibaeva, Rocco Moretti, Connor J. Morris, Chamali Narangoda, Theresa Noonan, Leon Obendorf, Szymon Pach, Amit Pandit, Sumera Perveen, Gennady Poda, Pavel G. Polishchuk, Kristina Puls, Vera Pütter, Didier Rognan, Dylan Roskams-Edris, Christina E. M. Schindler, François Sindt, Vojtech Spiwok, Casper Steinmann, Rick L. Stevens, Valerij Talagayev, Damon Tingey, Oanh Vu, W. Patrick Walters, Xiaowen Wang, Zhenyu Wang, Gerhard Wolber, Clemens Alexander Wolf, Lars Wortmann, Hong Zeng, Carlos A. Zepeda, Kam Y. J. Zhang, Jixian Zhang, Shuangjia Zheng, Matthieu Schapira
2024 A* conf
Entropy-Reinforced Planning with Large Language Models for Drug Discovery.
ICML
Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
2024 J jnl
Entropy-Reinforced Planning with Large Language Models for Drug Discovery.
CoRR
Xuefeng Liu, Chih-chan Tien, Peng Ding, Songhao Jiang, Rick L. Stevens
2023 J jnl
Blending Imitation and Reinforcement Learning for Robust Policy Improvement.
CoRR
Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen
2023 — conf
Deep Fair Partition for Hyperspectral Image Classification.
WHISPERS
Miao Tony He, Fangfang Xia, Rick L. Stevens
2023 J jnl
Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR.
Nucleic Acids Res.
Robert D. Olson, Rida Assaf, Thomas S. Brettin, Neal Conrad, Clark Cucinell, James J. Davis, Donald M. Dempsey, Allan Dickerman, Emily M. Dietrich, Ronald W. Kenyon, Mehmet Kuscuoglu, Elliot J. Lefkowitz, Jian Lu, Dustin Machi, Catherine Macken, Chunhong Mao, Anna Maria Niewiadomska, Marcus Nguyen, Gary J. Olsen, Jamie C. Overbeek, Bruce D. Parrello, Victoria Parrello, Jacob s Porter, Gordon D. Pusch, Maulik Shukla, Indresh Singh, Lucy Stewart, Gene Tan, Chris Thomas, Margo VanOeffelen, Veronika Vonstein, Zachary S. Wallace, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo, Yun Zhang, Christian M. Zmasek, Richard H. Scheuermann, Rick L. Stevens
2023 C conf
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
ICMLA
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu
2023 J jnl
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
CoRR
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus Van Dam, Deyu Lu
2022 J jnl
Cost-Effective Online Contextual Model Selection.
CoRR
Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen
2022 J jnl
Deep learning methods for drug response prediction in cancer: predominant and emerging trends.
CoRR
Alexander Partin, Thomas S. Brettin, Yitan Zhu, Oleksandr Narykov, Austin Clyde, Jamie C. Overbeek, Rick L. Stevens
2022 A* conf
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
ICLR
Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
2021 J jnl
Learning curves for drug response prediction in cancer cell lines.
BMC Bioinform.
Alexander Partin, Thomas S. Brettin, Yvonne A. Evrard, Yitan Zhu, Hyun Seung Yoo, Fangfang Xia, Songhao Jiang, Austin Clyde, Maulik Shukla, Michael Fonstein, James H. Doroshow, Rick L. Stevens
2021 J jnl
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
CoRR
Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica T. Prates, Manesh Shah, Verónica G. Melesse Vergara, Austin Clyde, Thomas S. Brettin, Wibe A. de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
2019 J jnl
PATRIC as a unique resource for studying antimicrobial resistance.
Briefings Bioinform.
Dionysios A. Antonopoulos, Rida Assaf, Ramy Karam Aziz, Thomas S. Brettin, Christopher Bun, Neal Conrad, James J. Davis, Emily M. Dietrich, Terry Disz, Svetlana Gerdes, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Daniel E. Murphy-Olson, Eric K. Nordberg, Gary J. Olsen, Robert Olson, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, John Santerre, Maulik Shukla, Rick L. Stevens, Margo VanOeffelen, Veronika Vonstein, Andrew S. Warren, Alice R. Wattam, Fangfang Xia, Hyun Seung Yoo
2018 J jnl
Big data and extreme-scale computing.
Int. J. High Perform. Comput. Appl.
Mark Asch, Terry Moore, Rosa M. Badia, Micah D. Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, Gaël Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov
2018 J jnl
Predicting tumor cell line response to drug pairs with deep learning.
BMC Bioinform.
Fangfang Xia, Maulik Shukla, Thomas S. Brettin, Cristina Garcia-Cardona, Judith D. Cohn, Jonathan E. Allen, Sergei Maslov, Susan L. Holbeck, James H. Doroshow, Yvonne A. Evrard, Eric A. Stahlberg, Rick L. Stevens
2017 J jnl
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center.
Nucleic Acids Res.
Alice R. Wattam, James J. Davis, Rida Assaf, Sébastien Boisvert, Thomas S. Brettin, Christopher Bun, Neal Conrad, Emily M. Dietrich, Terry Disz, Joseph L. Gabbard, Svetlana Gerdes, Christopher S. Henry, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Eric K. Nordberg, Gary J. Olsen, Daniel E. Murphy-Olson, Robert Olson, Ross A. Overbeek, Bruce D. Parrello, Gordon D. Pusch, Maulik Shukla, Veronika Vonstein, Andrew S. Warren, Fangfang Xia, Hyun Seung Yoo, Rick L. Stevens
2014 J jnl
PATRIC, the bacterial bioinformatics database and analysis resource.
Nucleic Acids Res.
Alice R. Wattam, David Abraham, Oral Dalay, Terry Disz, Timothy Driscoll, Joseph L. Gabbard, Joseph J. Gillespie, Roger Gough, Deborah Hix, Ronald W. Kenyon, Dustin Machi, Chunhong Mao, Eric K. Nordberg, Robert Olson, Ross A. Overbeek, Gordon D. Pusch, Maulik Shukla, Julie Schulman, Rick L. Stevens, Daniel E. Sullivan, Veronika Vonstein, Andrew S. Warren, Rebecca Will, Meredith J. C. Wilson, Hyun Seung Yoo, Chengdong Zhang, Yan Zhang, Bruno W. S. Sobral
2013 J jnl
Large-Scale Modeling of Epileptic Seizures: Scaling Properties of Two Parallel Neuronal Network Simulation Algorithms.
Comput. Math. Methods Medicine
Lorenzo L. Pesce, Hyong Chol Lee, Mark Hereld, Sid Visser, Rick L. Stevens, Albert Wildeman, Wim van Drongelen
2011 — conf
HPCS 2011 keynotes: Tuesday keynote I: High-performance computing and biology: The quest for a predictive biological theory.
HPCS
Rick L. Stevens
2010 — conf
Analysis of the Effect of Reversibility Constraints on the Predictions of Genome-Scale Metabolic Models.
IWPACBB
José P. Faria, Miguel Rocha, Rick L. Stevens, Christopher S. Henry
2010 J jnl
Oscillation in a network model of neocortex.
Neurocomputing
Jennifer Dwyer, Hyong Lee, Amber Martell, Rick L. Stevens, Mark Hereld, Wim van Drongelen
2009 — conf
A Bayesian Approach to High-Throughput Biological Model Generation.
BICoB
Xinghua Shi, Rick L. Stevens
2007 — conf
Immersive Virtual Anatomy Course using a Cluster of Volume Visualization Machines and Passive Stereo.
MMVR
Jonathan C. Silverstein, Colin Walsh, Fred Dech, Eric C. Olson, Michael E. Papka, Nigel M. Parsad, Rick L. Stevens
2006 A* conf
CupHolder: A Multi-Person Interactive High-Resolution Workstation.
VR
Mark Hereld, Michael E. Papka, Justin Binns, Rick L. Stevens
2006 — conf
Extending Multicast Communications by Hybrid Overlay Network.
ICC
Han Gao, Michael E. Papka, Rick L. Stevens
2006 A conf
Hierarchical multithreading: programming model and system software.
IPDPS
Guang R. Gao, Thomas L. Sterling, Rick L. Stevens, Mark Hereld, Weirong Zhu
2006 Misc conf
TeraGrid: Analysis of Organization, System Architecture, and Middleware Enabling New Types of Applications.
High Performance Computing Workshop
Charlie Catlett, William E. Allcock, Phil Andrews, Ruth A. Aydt, Ray Bair, Natasha Balac, Bryan Banister, Trish Barker, Mark Bartelt, Peter H. Beckman, Francine Berman, Gary R. Bertoline, Alan Blatecky, Jay Boisseau, Jim Bottum, Sharon Brunett, Julian J. Bunn, Michelle Butler, David Carver, John Cobb, Tim Cockerill, Peter Couvares, Maytal Dahan, Diana Diehl, Thom H. Dunning, Ian T. Foster, Kelly P. Gaither, Dennis Gannon, Sebastien Goasguen, Michael Grobe, David L. Hart, Matt Heinzel, Chris Hempel, Wendy Huntoon, Joseph A. Insley, Christopher T. Jordan, Ivan R. Judson, Anke Kamrath, Nicholas T. Karonis, Carl Kesselman, Patricia A. Kovatch, Lex Lane, Scott A. Lathrop, Michael J. Levine, David Lifka, Lee Liming, Miron Livny, Rich Loft, Doru Marcusiu, Jim Marsteller, Stuart Martin, D. Scott McCaulay, John McGee, Laura McGinnis, Michael A. McRobbie, Paul Messina, Reagan W. Moore, Richard Lee Moore, John-Paul Navarro, Jeff Nichols, Michael E. Papka, Rob Pennington, Greg Pike, Jim Pool, Raghurama Reddy, Daniel A. Reed, Tony Rimovsky, Eric Roberts, Ralph Roskies, Sergiu Sanielevici, J. Ray Scott, Anurag Shankar, Mark Sheddon, Mike Showerman, Derek Simmel, Abe Singer, Dane Skow, Shava Smallen, Warren Smith, Carol X. Song, Rick L. Stevens, Craig A. Stewart, Robert B. Stock, Nathan Stone, John Towns, Tomislav Urban, Mike Vildibill, Edward Walker, Von Welch, Nancy Wilkins-Diehr, Roy Williams, Linda Winkler, Lan Zhao, Ann Zimmerman
2005 C conf
An Infrastructure of Network Services for Seamless Integration in Advanced Collaborative Computing Environments.
CLUSTER
Han Gao, Ivan R. Judson, Thomas D. Uram, S. Lefvert, Terry Disz, Michael E. Papka, Rick L. Stevens
2005 — conf
Challenges in large scale distributed computing: bioinformatics.
CLADE
Terry Disz, Michael Kubal, Robert Olson, Ross A. Overbeek, Rick L. Stevens
2005 — conf
Developing a Distributed Collaborative Radiological Visualization Application.
HealthGrid
Justin Binns, Fred Dech, Matthew McCrory, Michael E. Papka, Jonathan C. Silverstein, Rick L. Stevens
2005 C conf
Performance Metrics of IP Multicast Sessions.
ISM
Han Gao, Michael E. Papka, Rick L. Stevens
2005 — conf
Pixel-Aligned Warping for Multiprojector Tiled Displays.
CVPR Workshops
Mark Hereld, Rick L. Stevens
2005 A conf
Real Time Change Detection and Alerts from Highway Traffic Data.
SC
Robert L. Grossman, Michal Sabala, Anushka Anand, Steve Eick, Leland Wilkinson, Pei Zhang, John Chaves, Steve Vejcik, John F. Dillenburg, Peter C. Nelson, Doug Rorem, Javid Alimohideen, Jason Leigh, Michael E. Papka, Rick L. Stevens
2004 B conf
Capability matching of data streams with network services.
CCGRID
Han Gao, Ivan R. Judson, Thomas D. Uram, Terry Disz, Michael E. Papka, Rick L. Stevens
2004 J jnl
Life Sciences and Cyberinfrastructure: Dual and Interacting Revolutions that will Drive Future Science.
New Gener. Comput.
Peter W. Arzberger, Abbas Farazdel, Akihiko Konagaya, Larry Ang, Shinji Shimojo, Rick L. Stevens
2004 J jnl
Simulation of neocortical epileptiform activity using parallel computing.
Neurocomputing
Wim van Drongelen, Hyong Chol Lee, Mark Hereld, David Jones, Matthew Cohoon, Frank Elsen, Michael E. Papka, Rick L. Stevens
2004 J jnl
The SEED: a peer-to-peer environment for genome annotation.
Commun. ACM
Ross A. Overbeek, Terry Disz, Rick L. Stevens
2003 J jnl
Introduction: Performance Analysis and Modeling.
Clust. Comput.
Valerie E. Taylor, Rick L. Stevens
2003 J jnl
Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications.
SIGMETRICS Perform. Evaluation Rev.
Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
2003 J jnl
Prototyping the Workspaces of the Future.
IEEE Internet Comput.
Rick L. Stevens, Michael E. Papka, Terry Disz
2003 — conf
Using Kernel Coupling to Improve the Performance of Multithreaded Applications.
PDCS
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
2002 A conf
Using Kernel Couplings to Predict Parallel Application Performance.
HPDC
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens
2001 — conf
Design and Development of the Prophesy Performance Database for Distributed Scientific Applications.
PP
Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
2001 — conf
Prophesy: Automating the Modeling Process.
Active Middleware Services
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens
2000 J jnl
Data management for large-scale scientific computations in high performance distributed systems.
Clust. Comput.
Alok N. Choudhary, Mahmut T. Kandemir, Jaechun No, Gokhan Memik, Xiaohui Shen, Wei-keng Liao, Harsha S. Nagesh, Sachin More, Valerie E. Taylor, Rajeev Thakur, Rick L. Stevens
2000 A conf
Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications.
HPDC
Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
2000 A conf
The Ten Hottest Topics in Parallel and Distributed Computing for the Next Millennium.
IPDPS
Ian T. Foster, David E. Culler, Deborah Estrin, Harvey B. Newman, Rick L. Stevens
2000 J jnl
Tutorial: Introduction to Building Projection-based Tiled Display Systems.
IEEE Computer Graphics and Applications
Mark Hereld, Ivan R. Judson, Rick L. Stevens
1999 A conf
Capstone Address: ActiveSpaces - The Access Grid, Active Mural and Advanced Visualization Systems.
IEEE Visualization
Rick L. Stevens
1997 J jnl
Parallel Molecular Dynamics: Implications for Massively Parallel Machines.
J. Parallel Distributed Comput.
Valerie E. Taylor, Rick L. Stevens, Kathryn E. Arnold
1997 — conf
Performance model of the Argonne Voyager multimedia server.
ASAP
Terry Disz, Robert Olson, Rick L. Stevens
1997 A conf
The Argonne Voyager Multimedia Server.
HPDC
Terry Disz, Ivan R. Judson, Robert Olson, Rick L. Stevens
1997 — conf
UbiWorld: an environment integrating virtual reality, supercomputing, and design.
Heterogeneous Computing Workshop
Terry Disz, Michael E. Papka, Rick L. Stevens
1996 — conf
A Decomposition Method For Efficient Use Of Distributed Supercomputers For Finite Element Applications.
ASAP
Valerie E. Taylor, Jian Chen, Thomas Canfield, Rick L. Stevens
1996 J jnl
Identifying and reducing critical lag in finite element simulations.
IEEE Computer Graphics and Applications
Valerie E. Taylor, Jian Chen, Milana Huang, Thomas Canfield, Rick L. Stevens
1996 A conf
Tools for Distributed Collaborative Environments: A Research Agenda.
HPDC
Ian T. Foster, Michael E. Papka, Rick L. Stevens
1996 A conf
UbiWorld: An Environment Integrating Virtual Reality, Supercomputing and Design.
HPDC
Michael E. Papka, Rick L. Stevens
1996 J jnl
Virtual Reality Over High-Speed Networks.
IEEE Computer Graphics and Applications
Thomas A. DeFanti, Maxine D. Brown, Rick L. Stevens
1991 — conf
Parallel Scalability of the Spectral Transform Method.
PP
Ian T. Foster, William Gropp, Rick L. Stevens
1990 A conf
Automated Reasoning Contributed to Mathematics and Logic.
CADE
Larry Wos, Steve Winker, William McCune, Ross A. Overbeek, Ewing L. Lusk, Rick L. Stevens, Ralph Butler
1990 — conf
Parallel Programming with Algorithmic Motifs.
ICPP (2)
Ian T. Foster, Rick L. Stevens
1988 A conf
Challenge Problems from Nonassociative Rings for Theorem Provers.
CADE
Rick L. Stevens
1988 — conf
Scheduling OR-Parallelism: An Argonne Perspective.
ICLP/SLP
Ralph Butler, Terry Disz, Ewing L. Lusk, Robert Olson, Ross A. Overbeek, Rick L. Stevens
1988 — conf
The Aurora Or-Parallel Prolog System.
FGCS
Ewing L. Lusk, Ralph Butler, Terry Disz, Robert Olson, Ross A. Overbeek, Rick L. Stevens, David H. D. Warren, Alan Calderwood, Péter Szeredi, Seif Haridi, Per Brand, Mats Carlsson, Andrzej Ciepielewski, Bogumil Hausman
1987 J jnl
Some Experiments in Nonassociative Ring Theory with an Automated Theorem Prover.
J. Autom. Reason.
Rick L. Stevens