Invariant Imbedding and the Method of Lines for Multiprocessor Computers-Abstract. - Richard C. Allen Jr.; Lorraine S. Baca; David E. Womble (PP, 1987)

Invariant imbedding and the method of lines for parallel computers. - David E. Womble; Richard C. Allen Jr.; Lorraine S. Baca (Parallel Comput., 1989)

A Model and Implementation of Multigrid for Massively Parallel Computers. - David E. Womble; Brenton C. Young (Int. J. High Speed Comput., 1990)

A Time-Stepping Algorithm for Parallel Computers. - David E. Womble (SIAM J. Sci. Comput., 1990)

Analysis of the Multigrid FMV Cycle on Large-Scale Parallel Machines. - Ray S. Tuminaro; David E. Womble (SIAM J. Sci. Comput., 1993)

Applications of boundary element methods on the Intel Paragon. - David E. Womble; David S. Greenberg; Stephen R. Wheat; Robert E. Benner; Marc S. Ingber; Greg Henry; Satya Gupta (SC, 1994)

The Torus-Wrap Mapping for Dense Matrix Calculations on Massively Parallel Computers. - Bruce Hendrickson; David E. Womble (SIAM J. Sci. Comput., 1994)

Parallel I/O: An Introduction. - David E. Womble; David S. Greenberg (Parallel Comput., 1997)

Efficient Parallel I/o in sEismic Imaging. - Ron A. Oldfield; David E. Womble; Curtis C. Ober (Int. J. High Perform. Comput. Appl., 1998)

The challenge of massively parallel computing. - David E. Womble (PARCO, 1999)

Massively parallel computing: A Sandia perspective. - David E. Womble; Sudip S. Dosanjh; Bruce Hendrickson; Michael A. Heroux; Steve Plimpton; James L. Tomkins; David S. Greenberg (Parallel Comput., 1999)

Challenges in Bayesian inference via Markov chain Monte Carlo for neural networks. - Theodore Papamarkou; Jacob D. Hinkle; M. Todd Young; David E. Womble (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)