Rick Archibald

37 papers A 1B 7Misc 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A General Framework for Error-controlled Unstructured Scientific Data Compression. CoRR Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2025	J	`jnl`	Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. CoRR Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash
2024	B	`conf`	A Framework for Compressing Unstructured Scientific Data via Serialization. IEEE Big Data Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024	B	`conf`	A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024	J	`jnl`	A framework for compressing unstructured scientific data via serialization. CoRR Viktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki
2024	J	`jnl`	Haar-Like Wavelets on Hierarchical Trees. J. Sci. Comput. Rick Archibald, Ben Whitney
2024	J	`jnl`	Lifting MGARD: construction of (pre)wavelets on the interval using polynomial predictors of arbitrary order. CoRR Viktor Reshniak, Evan Ferguson, Qian Gong, Nicolas Vidal, Rick Archibald, Scott Klasky
2024	B	`conf`	Privacy Preserving Federated Learning for Advanced Scientific Ecosystems. IEEE Big Data Rick Archibald, Addi Malviya-Thakur, Marshall T. McDonnell, Gregory Cage, Cody Stiner, Lance Drane, M. Paul Laiu, Michael J. Brim, Mathieu Doucet, William T. Heller, Ryan Coffee
2024	J	`jnl`	Sparse L CoRR Matthias Chung, Rick Archibald, Paul J. Atzberger, Jack Michael Solomon
2024	B	`conf`	Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error Control. IEEE Big Data Nicolas Vidal, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky
2022	B	`conf`	Improving Predictions Under Uncertainty of Material Plasma Device Operations. IEEE Big Data Rick Archibald, Mark R. Cianciosa, Cornwall Lau
2021	A	`conf`	Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2020	B	`conf`	Integrating Deep Learning in Domain Sciences at Exascale. SMC Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
2020	J	`jnl`	Integrating Deep Learning in Domain Sciences at Exascale. CoRR Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
2019	B	`conf`	Volumetric Segmentation via Neural Networks Improves Neutron Crystallography Data Analysis. CCGRID Brendan Sullivan, Rick Archibald, Venu Vandavasi, Patricia Langan, Leighton Coates, Vickie Lynch
2016	J	`jnl`	Hierarchical optimization for neutron scattering problems. J. Comput. Phys. Feng Bao, Rick Archibald, Dipanshu Bansal, Olivier Delaire
2016	J	`jnl`	Image Reconstruction from Undersampled Fourier Data Using the Polynomial Annihilation Transform. J. Sci. Comput. Rick Archibald, Anne Gelb, Rodrigo B. Platte
2015	J	`jnl`	Accelerated application development: The ORNL Titan experience. Comput. Electr. Eng. Wayne Joubert, Rick Archibald, Mark A. Berrill, W. Michael Brown, Markus Eisenbach, Ray W. Grout, Jeff Larkin, John M. Levesque, Bronson Messer, Matthew R. Norman, Bobby Philip, Ramanan Sankaran, Arnold N. Tharrington, John A. Turner
2015	Misc	`conf`	Accelerating Time Integration for the Shallow Water Equations on the Sphere Using GPUs. ICCS Rick Archibald, Katherine J. Evans, Andrew G. Salinger
2015	J	`jnl`	Image Reconstruction from Fourier Data Using Sparsity of Edges. J. Sci. Comput. Gabriel Wasserman, Rick Archibald, Anne Gelb
2014	J	`jnl`	Characterizing the elements of Earth's radiative budget: Applying uncertainty quantification to the CESM. J. Comput. Sci. Rick Archibald, M. Chakoumakos, Tony Zhuang
2014	J	`jnl`	Emulation to simulate low-resolution atmospheric data. Int. J. Comput. Math. Vishwas Rao, Rick Archibald, Katherine J. Evans
2014	J	`jnl`	Foreword. Int. J. Comput. Math. Rick Archibald, Clayton G. Webster
2013	J	`jnl`	Progress towards accelerating HOMME on hybrid multi-core systems. Int. J. High Perform. Comput. Appl. Ilene Carpenter, Rick Archibald, Katherine J. Evans, Jeffrey M. Larkin, Paulius Micikevicius, Matthew R. Norman, James Rosinski, Jim Schwarzmeier, Mark A. Taylor
2012	Misc	`conf`	Characterizing the elements of Earth's radiative budget: Applying uncertainty quantification to the CESM. ICCS Rick Archibald, M. Chakoumakos, Tony Zhuang
2009	J	`jnl`	Discontinuity detection in multivariate space for stochastic simulations. J. Comput. Phys. Rick Archibald, Anne Gelb, Rishu Saxena, Dongbin Xiu
2009	J	`jnl`	Support Vector Machine-Based Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. Anthony M. Filippi, Rick Archibald
2009	—	`conf`	Time Acceleration Methods for Advection on the Cubed Sphere. ICCS (2) Rick Archibald, Katherine J. Evans, J. B. Drake, James B. White III
2007	J	`jnl`	Feature Selection and Classification of Hyperspectral Images With Support Vector Machines. IEEE Geosci. Remote. Sens. Lett. Rick Archibald, George Fann
2006	J	`jnl`	One-sided Post-processing for the Discontinuous Galerkin Method Using ENO Type Stencil Choosing and the Local Edge Detection Method. J. Sci. Comput. Rick Archibald, Anne Gelb, Sigal Gottlieb, Jennifer K. Ryan
2005	J	`jnl`	Polynomial Fitting for Edge Detection in Irregularly Sampled Signals and Images. SIAM J. Numer. Anal. Rick Archibald, Anne Gelb, Jungho Yoon
2004	J	`jnl`	Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction. IEEE Trans. Image Process. Rick Archibald, Jiuxiang Hu, Anne Gelb, Gerald E. Farin
2003	J	`jnl`	Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method. NeuroImage Rick Archibald, Kewei Chen, Anne Gelb, Rosemary A. Renaut
2002	J	`jnl`	A method to reduce the Gibbs ringing artifact in MRI scans while keeping tissue boundary integrity. IEEE Trans. Medical Imaging Rick Archibald, Anne Gelb
2002	J	`jnl`	Reducing the Effects of Noise in Image Reconstruction. J. Sci. Comput. Rick Archibald, Anne Gelb
2002	—	`conf`	Reducing the Gibbs ringing artifact in MRI scans while maintaining tissue boundary integrity. ISBI Anne Gelb, Rick Archibald
2002	—	`conf`	Reducing the effects of noise in MRI reconstruction. ISBI Rick Archibald, Anne Gelb