P. Pébay

发表

Quantifying uncertainty in chemical systems modeling

R. Ghanem, H. Najm, O. Knio, 2004 .

Proceedings of the 15th International Meshing Roundtable

P. Pébay, 2006 .

Analysis of large-scale scalar data using hixels

Valerio Pascucci, Joshua A. Levine, Peer-Timo Bremer, 2011, 2011 IEEE Symposium on Large Data Analysis and Visualization.

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

Habib N. Najm, Roger G. Ghanem, Omar M. Knio, 2005, SIAM J. Sci. Comput..

Determining the Bayesian optimal sampling strategy in a hierarchical system.

Matthew D. Grace, Philippe Pierre Pebay, Paul T. Boggs, 2010 .

Computational algebraic geometry for statistical modeling FY09Q2 progress.

J. M. Rojas, P. Pébay, D. Thompson, 2009 .

Experimental Efficacy of the Face Shield and the Mask against Emitted and Potentially Received Particles

Philippe P. Pébaÿ, P. Pébay, Jean-Michel Wendling, 2020, medRxiv.

Dynamic Meshing for Finite Element Based Segmentation of Cardiac Imagery

P. Pébay, J. Pousin, T. Baker, 2006 .

A Comparison Of Triangle Quality Measures

Timothy J. Baker, Philippe P. Pébay, P. Pébay, 2001, IMR.

Copy of Methodologies for Advance Warning of Compute Cluster Problems via Statistical Analysis: A Case Study (Conference Presentation).

James M. Brandt, Ann C. Gentile, Jackson R. Mayo, 2009 .

Practical Reliability and Uncertainty Quantification in Complex Systems: Final Report

Matthew D. Grace, Youssef M. Marzouk, Matthew D. Grace, 2009 .

New Applications of the Verdict Library for Standardized Mesh Verification Pre, Post, and End-to-End Processing

Jason F. Shepherd, David C. Thompson, Patrick M. Knupp, 2007, IMR.

Embarrassingly parallel mesh refinement by edge subdivision

David C. Thompson, Philippe P. Pébay, P. Pébay, 2006, Engineering with Computers.

Methods and framework for visualizing higher-order finite elements

Robert M. O'Bara, William J. Schroeder, David C. Thompson, 2006, IEEE Transactions on Visualization and Computer Graphics.

Communication-Free Streaming Mesh Refinement

Philippe Pierre Pebay, David Thompson, P. Pébay, 2005, J. Comput. Inf. Sci. Eng..

Framework for visualizing higher-order basis functions

Robert M. O'Bara, William J. Schroeder, David C. Thompson, 2005, VIS 05. IEEE Visualization, 2005..

Performance of a Streaming Mesh Refinement Algorithm

Philippe Pierre Pebay, David C. Thompson, P. Pébay, 2004 .

Planar quadrilateral quality measures

Philippe P. Pébay, P. Pébay, 2004, Engineering with Computers.

Parallel Mesh Refinement Without Communication

David C. Thompson, Philippe P. Pébay, P. Pébay, 2004, IMR.

Analysis of triangle quality measures

Timothy J. Baker, Philippe P. Pébay, T. Baker, 2003, Math. Comput..

Planar Quadrangle Quality Measures: Is There Really A Choice?

Philippe P. Pébay, P. Pébay, 2002, IMR.

A framework for graph-based synthesis, analysis, and visualization of HPC cluster job data.

W. Philip Kegelmeyer, James M. Brandt, Vincent De Sapio, 2010 .

Analysis of Uncertain Scalar Data with Hixels

Valerio Pascucci, Joshua A. Levine, Peer-Timo Bremer, 2014, Scientific Visualization.

Design and Performance of a Scalable, Parallel Statistics Toolkit

David C. Thompson, Janine Bennett, Ajith Mascarenhas, 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.

Direct numerical simulation of ignition front propagation in a constant volume with temperature inhomogeneities. II. Parametric study

Philippe Pierre Pebay, Evatt R. Hawkes, Ramanan Sankaran, 2006 .

Optimizing n-variate (n+k)-nomials for small k

J. M. Rojas, P. Pébay, D. Thompson, 2009, Theor. Comput. Sci..

Optimization and NP_R-completeness of certain fewnomials

J. Maurice Rojas, David C. Thompson, Philippe P. Pébay, 2009, SNC '09.

Combining in-situ and in-transit processing to enable extreme-scale scientific analysis

Fan Zhang, Ray W. Grout, Scott Klasky, 2012, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis.

Formulas for robust, one-pass parallel computation of covariances and arbitrary-order statistical moments.

Philippe Pierre Pebay, P. Pébay, 2008 .

A half-explicit, non-split projection method for low Mach number flows.

H. Najm, P. Pébay, J. Pousin, 2004 .

Quantifying effectiveness of failure prediction and response in HPC systems: Methodology and example

Vincent De Sapio, Ann C. Gentile, Diana C. Roe, 2010, 2010 International Conference on Dependable Systems and Networks Workshops (DSN-W).

Bayesian methods for estimating the reliability in complex hierarchical networks (interim report).

Philippe Pierre Pebay, Paul T. Boggs, Youssef M. Marzouk, 2007 .

Scalable Collectives for Distributed Asynchronous Many-Task Runtimes

Janine Bennett, Hemanth Kolla, Philippe P. Pébay, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights

Timothy B. Terriberry, P. Pébay, H. Kolla, 2016, Comput. Stat..

The verdict geometric quality library.

Philippe Pierre Pebay, Patrick M. Knupp, David C. Thompson, 2006 .

Computing Contingency Statistics in Parallel: Design Trade-Offs and Limiting Cases

David C. Thompson, Janine Bennett, Philippe P. Pébay, 2010, 2010 IEEE International Conference on Cluster Computing.

Numerically stable, single-pass, parallel statistics algorithms

Ray W. Grout, Diana C. Roe, David C. Thompson, 2009, 2009 IEEE International Conference on Cluster Computing and Workshops.

Analysis of triangle quality measures

P. Pébay, Timothy J. Baker, 2003, Math. Comput..