MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems. - Mark Howison; E. Wes Bethel; Hank Childs (EGPGV@Eurographics, 2010)

Parallel I/O performance: From events to ensembles. - Andrew Uselton; Mark Howison; Nicholas J. Wright; David Skinner; Noel Keen; John Shalf; Karen L. Karavanic; Leonid Oliker (IPDPS, 2010)

Extreme Scaling of Production Visualization Software on Diverse Architectures. - Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Prabhat; Gunther H. Weber; E. Wes Bethel (IEEE Computer Graphics and Applications, 2010)

The mathematical imagery trainer: from embodied interaction to conceptual learning. - Mark Howison; Dragan Trninic; Daniel L. Reinholz; Dor Abrahamson (CHI, 2011)

Parallel index and query for large scale data analysis. - Jerry Chi-Yuan Chou; Mark Howison; Brian Austin; Kesheng Wu; Ji Qiang; E. Wes Bethel; Arie Shoshani; Oliver Rübel; Prabhat; Robert D. Ryne (SC, 2011)

Hybrid Parallelism. - E. Wes Bethel; David Camp; Hank Childs; Christoph Garth; Mark Howison; Kenneth I. Joy; David Pugmire (High Performance Visualization, 2012)

Performance Optimization and Auto-Tuning. - E. Wes Bethel; Mark Howison (High Performance Visualization, 2012)

Visualization at Extreme Scale Concurrency. - Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Gunther H. Weber; E. Wes Bethel (High Performance Visualization, 2012)

Parallel I/O, analysis, and visualization of a trillion particle simulation. - Surendra Byna; Jerry Chi-Yuan Chou; Oliver Rübel; Prabhat; Homa Karimabadi; William S. Daughton; Vadim Roytershteyn; E. Wes Bethel; Mark Howison; Ke-Jou Hsu; Kuan-Wu Lin; Arie Shoshani; et al. (SC, 2012)

BioLite, a Lightweight Bioinformatics Framework with Automated Tracking of Diagnostics and Provenance. - Mark Howison; Nicholas A. Sinnott-Armstrong; Casey W. Dunn (TaPP, 2012)

Multi-core and many-core shared-memory parallel raycasting volume rendering optimization and tuning. - E. Wes Bethel; Mark Howison (Int. J. High Perform. Comput. Appl., 2012)

Hybrid Parallelism for Volume Rendering on Large-, Multi-, and Many-Core Systems. - Mark Howison; E. Wes Bethel; Hank Childs (IEEE Trans. Vis. Comput. Graph., 2012)

Building Software Environments for Research Computing Clusters. - Mark Howison; Aaron Shen; Andrew Loomis (LISA, 2013)

Toward a statistically explicit understanding of de novo sequence assembly. - Mark Howison; Felipe Zapata 001; Casey W. Dunn (Bioinform., 2013)

Agalma: an automated phylogenomics workflow. - Casey W. Dunn; Mark Howison; Felipe Zapata 001 (BMC Bioinform., 2013)

High-Throughput Compression of FASTQ Data with SeqDB. - Mark Howison (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Improving Performance of Structured-Memory, Data-Intensive Applications on Multi-core Platforms via a Space-Filling Curve Memory Layout. - E. Wes Bethel; David Camp; David Donofrio; Mark Howison (IPDPS Workshops, 2015)

Mining and Visualizing Sequential Patterns in the Electronic Health Record: A Case Study for Asthma With and Without Mental Disorders. - Elizabeth S. Chen; Genevieve B. Melton; Mark Howison; Erik Knoll; Ashley S. Lee; Indra Neil Sarkar (AMIA, 2016)

Mining Spatio-temporal Data on Industrialization from Historical Registries. - David Berenbaum; Dwyer Deighan; Thomas Marlow; Ashley S. Lee; Scott Frickel; Mark Howison (CoRR, 2016)

GPU-accelerated denoising of 3D magnetic resonance images. - Mark Howison; E. Wes Bethel (J. Real Time Image Process., 2017)

Measurement error and variant-calling in deep Illumina sequencing of HIV. - Mark Howison; Mia Coetzer; Rami Kantor (Bioinform., 2019)

Unlocking data to improve public policy. - Justine S. Hastings; Mark Howison; Ted Lawless; John Ucles; Preston White (Commun. ACM, 2019)

Delivering Unemployment Assistance in Times of Crisis: Scalable Cloud Solutions Can Keep Essential Government Programs Running and Supporting Those in Need. - Mintaka Angell; Samantha Gold; Mark Howison; Victoria Kidd; Daniel Molitor; Casey Burns; Chris Johnson; Matthew Kahn; Stuart Venzke; Sandra Deneault; Donald Doweiko; Stephen Dziembowski; et al. (Digit. Gov. Res. Pract., 2021)

Predicting Divertible Medicaid Emergency Department Costs. - Justine S. Hastings; Mark Howison (Digit. Gov. Res. Pract., 2022)

SIRAD: Secure Infrastructure for Research with Administrative Data. - Mark Howison; Marcelle Goggins (Softw. Impacts, 2022)

Occupational models from 42 million unstructured job postings. - Nile Dixon; Marcelle Goggins; Ethan Ho; Mark Howison; Joe Long; Emma Northcott; Karen Shen; Carrie Yeats (Patterns, 2023)

Protecting Sensitive Data with Secure Data Enclaves. - Mark Howison; Mintaka Angell; Justine S. Hastings (Digit. Gov. Res. Pract., 2024)

Recommending Career Transitions to Job Seekers Using Earnings Estimates, Skills Similarity, and Occupational Demand. - Mark Howison; Joe Long; Justine S. Hastings (Digit. Gov. Res. Pract., 2024)

Extracting Structured Labor Market Information from Job Postings with Generative AI. - Mark Howison; William O. Ensor; Suraj Maharjan; Rahil Parikh; Srinivasan H. Sengamedu; Paul Daniels; Amber Gaither; Carrie Yeats; Chandan K. Reddy; Justine S. Hastings (Digit. Gov. Res. Pract., 2025)