The Quality of Partitions Produced by an Iterative Load Balancer. - Carlo L. Bottasso; Joseph E. Flaherty; Can C. Özturan; Mark S. Shephard; Boleslaw K. Szymanski; James D. Teresco; Louis H. Ziantz (LCR, 1995)

Predictive Load Balancing for Parallel Adaptive Finite Element Computation. - Joseph E. Flaherty; Raymond M. Loy; Mark S. Shephard; Boleslaw K. Szymanski; James D. Teresco; Louis H. Ziantz (PDPTA, 1997)

Load Balancing and Communication Optimization for Parallel Adaptive Finite Element Methods (Invited Paper). - Joseph E. Flaherty; Raymond M. Loy; P. C. Scully; Mark S. Shephard; Boleslaw K. Szymanski; James D. Teresco; Louis H. Ziantz (SCCC, 1997)

Adaptive Local Refinement with Octree Load Balancing for the Parallel Solution of Three-Dimensional Conservation Laws. - Joseph E. Flaherty; Raymond M. Loy; Mark S. Shephard; Boleslaw K. Szymanski; James D. Teresco; Louis H. Ziantz (J. Parallel Distributed Comput., 1997)

Adaptive and Parallel Finite Element Computations on Heterogeneous Systems. - Mark W. Beall; Joseph E. Flaherty; Mark S. Shephard; James D. Teresco (PP, 1999)

Adaptive Computation over Dynamic and Heterogeneous Networks. - Kaoutar El Maghraoui; Joseph E. Flaherty; Boleslaw K. Szymanski; James D. Teresco; Carlos A. Varela (PPAM, 2003)

Towards a middleware framework for dynamically reconfigurable scietific computing. - Kaoutar El Maghraoui; Travis J. Desell; Boleslaw K. Szymanski; James D. Teresco; Carlos A. Varela (High Performance Computing Workshop, 2004)

Hierarchical Partitioning and Dynamic Load Balancing for Scientific Computation. - James D. Teresco; Jamal Faik; Joseph E. Flaherty (PARA, 2004)

Resource-Aware Parallel Adaptive Computation for Clusters. - James D. Teresco; Laura Effinger-Dean; Arjun Sharma (International Conference on Computational Science (2), 2005)

Resource-aware scientific computation on a heterogeneous cluster. - James D. Teresco; J. Fair; Joseph E. Flaherty (Comput. Sci. Eng., 2005)

Approaches to Architecture-Aware Parallel Scientific Computation. - James D. Teresco; Joseph E. Flaherty; Scott B. Baden; Jamal Faik; Sébastien Lacour; Manish Parashar; Valerie E. Taylor; Carlos A. Varela; Xingfu Wu; Rick Stevens; Nicholas T. Karonis; Ian T. Foster; et al. (Parallel Processing for Scientific Computing, 2006)

Automated dynamic redistribution of virtual operating systems under the xen virtual machine monitor. - Travis F. Vachon; James D. Teresco (Parallel and Distributed Computing and Networks, 2007)

A Dijkstra's algorithm shortest path assignment using the Google Maps API: poster session. - James D. Teresco (J. Comput. Sci. Coll., 2010)

Using the Google Maps API with highway mapping data as a pedagogical tool: demonstration. - James D. Teresco (J. Comput. Sci. Coll., 2011)

Highway data and map visualizations for educational use. - James D. Teresco (SIGCSE, 2012)

Helping students understand the datapath with simulators and crazy models. - Michael B. Gousie; James D. Teresco (SIGCSE, 2013)

Popularity-based temporal relevance estimation for micro-blogging retrieval. - Manar F. Alohaly; James D. Teresco (ACM Southeast Regional Conference, 2014)

Using highway mapping data graphs and map visualizations in computer science courses: tutorial presentation. - James D. Teresco (J. Comput. Sci. Coll., 2015)

Map-based Algorithm Visualization with METAL Highway Data. - James D. Teresco; Razieh Fathi; Lukasz Ziarek; MariaRose Bamundo; Arjol Pengu; Clarice F. Tarbay (SIGCSE, 2018)

A framework for code-level tracing of map-based algorithm visualizations. - James D. Teresco; Michael A. Dagostino Jr.; Abdul Samad; Eric D. Sauer (SPLASH-E, 2018)

Graph traversals and spanning trees using metal highway data and visualizations. - James D. Teresco (J. Comput. Sci. Coll., 2018)

Using metal's expanded highway graphs and maps in computer science courses. - James D. Teresco; Razieh Fathi; Lukasz Ziarek (J. Comput. Sci. Coll., 2018)

Projects using METAL highway graphs with traveler data. - James D. Teresco (J. Comput. Sci. Coll., 2019)

CS Curricular Innovations with a Liberal Arts Philosophy. - James D. Teresco; Andrea Tartaro; Amanda M. Holland-Minkley; Grant Braught; Jakob Barnard; Douglas Baldwin (SIGCSE (1), 2022)

Reflective Curriculum Review for Liberal Arts Computing Programs. - Jakob Barnard; Grant Braught; Janet Davis; Amanda M. Holland-Minkley; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (J. Comput. Sci. Coll., 2022)

Using METAL's Expanded Map-Based Algorithm Visualizations in Computer Science Courses. - James D. Teresco (J. Comput. Sci. Coll., 2022)

Computer Science Curriculum Guidelines: A New Liberal Arts Perspective. - Amanda M. Holland-Minkley; Jakob Barnard; Valerie Barr; Grant Braught; Janet Davis; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (SIGCSE (1), 2023)

Developing Identity-Focused Program-Level Learning Outcomes for Liberal Arts Computing Programs. - Jakob Barnard; Grant Braught; Janet Davis; Amanda M. Holland-Minkley; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (J. Comput. Sci. Coll., 2023)

Developing Identity-Focused Program-Level Learning Outcomes for Liberal Arts Computing Programs: Conference Tutorial. - Jakob Barnard; Grant Braught; Janet Davis; Amanda M. Holland-Minkley; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (J. Comput. Sci. Coll., 2023)

Teaching the Divide-and-Conquer Closest Pair Algorithm Using a Map-Based Visualization: Nifty Assignment. - James D. Teresco (J. Comput. Sci. Coll., 2023)

Using a Distinctive Curricular Design Process for Liberal Arts Computing Programs. - Jakob E. Barnard; Grant Braught; Janet Davis; Amanda M. Holland-Minkley; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (J. Comput. Sci. Coll., 2024)

A Process for Distinctive Curricular Design for Liberal Arts Computing Programs - Conference Tutorial. - Jakob Barnard; Grant Braught; Janet Davis; Amanda M. Holland-Minkley; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (J. Comput. Sci. Coll., 2024)

A Learning Module for Shortest Path Algorithms Using Map-Based Data and Algorithm Visualizations. - James D. Teresco (J. Comput. Sci. Coll., 2024)

Towards a Computer Science Curriculum "Microkernel". - Grant Braught; Janet Davis; Amanda M. Holland-Minkley; Karl Schmitt; James D. Teresco (SIGCSE (2), 2025)

CS2023: Computer Science Curriculum Guidelines: A New Liberal Arts Perspective. - Amanda M. Holland-Minkley; Jakob E. Barnard; Valerie Barr; Grant Braught; Janet Davis; David W. Reed; Karl Schmitt; Andrea Tartaro; James D. Teresco (Inroads, 2025)