Richard Tran Mills

According to our database, Richard Tran Mills authored at least 30 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Development of a multi-layer canopy model for E3SM Land Model with support for heterogeneous computing.

Gautam Bisht, William J. Riley, Richard Tran Mills

J. Comput. Sci., 2024

PETSc/TAO Developments for Early Exascale Systems.

Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Jacob Faibussowitsch, Toby Isaac, Matthew G. Knepley, Todd S. Munson, Hansol Suh, Stefano Zampini, Hong Zhang, Junchao Zhang

CoRR, 2024

2023

Safe, Seamless, And Scalable Integration Of Asynchronous GPU Streams In PETSc.

Jacob Faibussowitsch, Mark F. Adams, Richard Tran Mills, Stefano Zampini, Junchao Zhang

CoRR, 2023

2022

DMStag: Staggered, Structured Grids for PETSc.

Patrick Sanan, Dave A. May, Richard Tran Mills, Boris J. P. Kaus

J. Open Source Softw., November, 2022

The PetscSF Scalable Communication Layer.

Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini

IEEE Trans. Parallel Distributed Syst., 2022

The PETSc Community as Infrastructure.

Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang

Comput. Sci. Eng., 2022

The PETSc Community Is the Infrastructure.

Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang

CoRR, 2022

2021

Toward performance-portable PETSc for GPU-based exascale systems.

Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang

Parallel Comput., 2021

Understanding performance variability in standard and pipelined parallel Krylov solvers.

Hannah Morgan, Patrick Sanan, Matthew G. Knepley, Richard Tran Mills

Int. J. High Perform. Comput. Appl., 2021

2019

Manycore Parallel Computing for a Hybridizable Discontinuous Galerkin Nested Multigrid Method.

Maurice S. Fabien, Matthew G. Knepley, Richard Tran Mills, Beatrice M. Riviere

SIAM J. Sci. Comput., 2019

2018

Comparative Study of Finite Element Methods Using the Time-Accuracy-Size(TAS) Spectrum Analysis.

Justin Chang, Maurice S. Fabien, Matthew G. Knepley, Richard Tran Mills

SIAM J. Sci. Comput., 2018

Vectorized Parallel Sparse Matrix-Vector Multiplication in PETSc Using AVX-512.

Hong Zhang, Richard Tran Mills, Karl Rupp, Barry F. Smith

Proceedings of the 47th International Conference on Parallel Processing, 2018

Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures.

Richard Tran Mills, Vamsi Sripathi, Jitendra Kumar, Sarat Sreepathi, Forrest M. Hoffman, William W. Hargrove

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Landau Collision Integral Solver with Adaptive Mesh Refinement on Emerging Architectures.

Mark F. Adams, Eero Hirvijoki, Matthew G. Knepley, Jed Brown, Tobin Isaac, Richard Tran Mills

SIAM J. Sci. Comput., 2017

Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers.

Sarat Sreepathi, Jitendra Kumar, Richard Tran Mills, Forrest M. Hoffman, Vamsi Sripathi, William W. Hargrove

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2014

Hierarchical Krylov and nested Krylov methods for extreme-scale computing.

Lois Curfman McInnes, Barry Smith, Hong Zhang, Richard Tran Mills

Parallel Comput., 2014

2013

Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis.

Richard Tran Mills, Jitendra Kumar, Forrest M. Hoffman, William W. Hargrove, Joseph P. Spruce, Steven P. Norman

Proceedings of the International Conference on Computational Science, 2013

SCORPIO: A scalable two-phase parallel I/O library with application to a large scale subsurface simulator.

Sarat Sreepathi, Vamsi Sripathi, Richard Tran Mills, Glenn Hammond, G. (Kumar) Mahinthakumar

Proceedings of the 20th Annual International Conference on High Performance Computing, 2013

2011

Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats.

Richard Tran Mills, Forrest M. Hoffman, Jitendra Kumar, William W. Hargrove

Proceedings of the International Conference on Computational Science, 2011

Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets.

Jitendra Kumar, Richard Tran Mills, Forrest M. Hoffman, William W. Hargrove

Proceedings of the International Conference on Computational Science, 2011

Data Mining in Earth System Science (DMESS 2011).

Forrest M. Hoffman, Jay Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai

Proceedings of the International Conference on Computational Science, 2011

Poster: a scalable two-phase parallel I/O library with application to a large scale subsurface simulator.

Sarat Sreepathi, Vamsi Sripathi, Glenn Hammond, Richard Tran Mills, G. (Kumar) Mahinthakumar

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

2010

Geospatiotemporal data mining in an early warning system for forest threats in the United States.

Forrest M. Hoffman, Richard Tran Mills, Jitendra Kumar, Srinivasa S. Vulli, William W. Hargrove

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2008

An Evaluation of the Oak Ridge National Laboratory Cray XT3.

Sadaf R. Alam, Richard F. Barrett, Mark R. Fahey, Jeffery A. Kuehn, O. E. Bronson Messer, Richard Tran Mills, Philip C. Roth, Jeffrey S. Vetter, Patrick H. Worley

Int. J. High Perform. Comput. Appl., 2008

2007

Runtime and Programming Support for Memory Adaptation in Scientific Applications via Local Disk and Remote Memory.

Richard Tran Mills, Chuan Yue, Andreas Stathopoulos, Dimitrios S. Nikolopoulos

J. Grid Comput., 2007

2006

Runtime Support for Memory Adaptation in Scientific Applications via Local Disk and Remote Memory.

Chuan Yue, Richard Tran Mills, Andreas Stathopoulos, Dimitrios S. Nikolopoulos

Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, 2006

2005

Vectorized Sparse Matrix Multiply for Compressed Row Storage Format.

Eduardo F. D'Azevedo, Mark R. Fahey, Richard Tran Mills

Proceedings of the Computational Science, 2005

2004

Adapting to Memory Pressure from within Scientific Applications on Multiprogrammed COWs.

Richard Tran Mills, Andreas Stathopoulos, Dimitrios S. Nikolopoulos

Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

2003

Dynamic Load Balancing of an Iterative Eigensolver on Networks of Heterogeneous Clusters.

James R. McCombs, Richard Tran Mills, Andreas Stathopoulos

Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

2001

Algorithmic modifications to the Jacobi-Davidson parallel eigensolver to dynamically balance external CPU and memory load.

Richard Tran Mills, Andreas Stathopoulos, Evgenia Smirni

Proceedings of the 15th international conference on Supercomputing, 2001