Daniel J. Milroy,** Allison H. Baker,** John M. Dennis, Andrew Gettelman, and Dorit M. Hammerling, "Investigating the Impact of Mixed Precision on Correctness for a Large Climate Code", in 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), Denver, CO, 2019, pp. 44-51. (doi:10.1109/Correctness49594.2019.00011).

Dorit M. Hammerling, **Allison H. Baker**, Alexander Pinard, Peter Lindstrom, "A collaborative effort to improve lossy compression for climate data,” in The Fifth International Workshop on Data Analysis and Reduction for Big Scientific Data, Denver, CO, 2019. (doi:10.1109/DRBSD-549595.2019.00008).

**A.H. Baker**, D.M. Hammerling, and T.L. Turton. “Evaluating image quality measures to assess the impact of lossy data compression applied to climate simulation data”, Computer Graphics Forum 38(3), June 2019 (doi:10.1111/cgf.13707).

Daniel J. Milroy, **Allison H. Baker**, Dorit M. Hammerling, Youngsung Kim, Thomas Hauser, and Elizabeth R. Jessup, “Making root cause analysis feasible for large code bases: a solution approach for a climate model”, preprint: arXiv: arXiv:1810.13432 (https://arxiv.org/abs/1810.13432), to appear in HPDC 2019, Phoenix, AZ, June 2019.

Dorit Hammerling, Imme Ebert-Uphoff, and **Allison H. Baker**, “Ensemble consistency testing using causal connectivity”, Proceedings of the Eighth International Workshop on Climate Informatics: CI 2018. C. Chen, D. Cooley, J. Runge, and E. Szekely (Eds.), I. Ebert-Uphoff, D. Hammerling, C. Monteleoni, D. Nychka (Series Eds.), September, 2018.

Daniel J. Milroy, **Allison H. Baker**, Dorit M. Hammerling, and Elizabeth R. Jessup, “Nine time steps: ultra-fast statistical consistency testing of the Community Earth System Model (pyCECT v3.0)”, Geoscientific Model Development, 11, pp. 697-711, 2018 (doi: 10.5194/gmd-11-697-2018).

**Allison H. Baker**, Daniel J. Milroy, Dorit M. Hammerling, and Haiying Xu. 2017. Quality assurance and error identification for the Community Earth System Model. In Proceedings of Correctness’17: First International Workshop on Software Correctness for HPC Applications (Correctness’17). ACM, New York, NY, USA, 6 pages (doi:10.1145/3145344.3145491).

**A. H. Baker,** H. Xu, D. M. Hammerling, S. Li, and J. Clyne, “Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data”, in J.M. Kunkel et al. (Eds.): ISC High Performance Workshops 2017, LNCS 10524, pp. 30–42, 2017 (doi:10.1007/978-3-319-67630-2_3).

John M. Dennis, Christopher Kerr, **Allison H. Baker,** Brian Dobbins, Kevin Paul, Richard Mills, Sheri Mickelson, Youngsung Kim, and Raghu Kumar, “Preparing the Community Earth System Model for Exascale Computing” in Exascale Scientific Applications: Programming Approaches for Scalability, Performance, and Portability, edited by Tjerk P. Straatsma, Katerina B. Antypas, and Timothy J. Williams, CRC Press, November 2017.

**Allison H. Baker**, Dorit M. Hammerling, Sheri A. Mickelson, Haiying Xu, Martin B. Stolpe, Phillipe Naveau, Ben Sanderson, Imme Ebert-Uphoff, Savini Samarasinghe, Francesco De Simone, Francesco Carbone, Christian N. Gencarelli, John M. Dennis, Jennifer E. Kay, and Peter Lindstrom, “Evaluating Lossy Data Compression on Climate Simulation Data within a Large Ensemble.” *Geoscientific Model Development, *9, 4381-4403, doi:10.5194/gmd-9-4381-2016, 2016.

Xiaomeng Huang, Qiang Tang, Yu-heng Tseng, Yong Hu, **Allison H. Baker,** Frank O. Bryan, John Dennis, Haohuan Fu, and Guangwen Yang, “Accelerating the high-resolution ocean model component in the Community Earth System Model.” *Geoscientific Model Development, *9, 4209-4225, doi:10.5194/gmd-9-4209-2016, 2016.

Daniel J. Milroy, **Allison H. Baker**, Dorit M. Hammerling, John M. Dennis, Sheri A. Mickelson, and Elizabeth R. Jessup, “Towards characterizing the variability of statistically consistent Community Earth System Model simulations.” *Procedia Computer Science* (ICCS 2016), Vol. 80, pp. 1589-1600, 2016.

**A.H. Baker**, Y. Hu, D.M. Hammerling, Y. Tseng, X. Hu, X. Huang, F.O. Bryan, and G. Yang, “Evaluating Statistical Consistency in the Ocean Model Component of the Community Earth System Model (pyCECT v2.0).” *Geoscientific Model Development**, *9, 2391-2406, doi:10.5194/gmd-9-2391-2016, 2016.

Youngsung Kim, John Dennis, Christopher Kerr, Raghu Raj Prasanna Kumar, Amogh Simha, A**llison Baker**, and Sheri Mickelson, “Fortran Kernel Generation using A Python-based Source Transformation Framework.” *Procedia Computer Science* (ICCS 2016), Vol. 80, pp. 1450-1460, 2016

**Allison H. Baker,** Axel Klawonn, Tzanio Kolev, Martin Lanser, Oliver Rheinbach, and Ulrike Meier Yang, “Scalability of Classical Algebraic Multigrid for Elasticity to Half a Million Parallel Tasks.” *Software for Exascale Computing: SPPEXA 2013-2015*, Volume 113 of Lecture Notes in Computer Science, pp. 113-140, 2016.

Dorit Hammerling, **Allison H. Baker** and Imme Ebert-Uphoff, “What can we learn about climate model runs from their causal signatures?” *Proceedings of the Fifth International Workshop on Climate Informatics: CI 2015*. J. G. Dy, J. Emile-Geay, V. Lakshmanan, Y. Liu (Eds.). September 2015. ISBN: 978-0-9973548-0-5.

**A.H. Baker**, D.M. Hammerling, M.N. Levy, H. Xu, J.M. Dennis, B.E. Eaton, J. Edwards, C. Hannay, S.A. Mickelson, R.B. Neale, D. Nychka, J. Shollenberger, J. Tribbia, M. Vertenstein, and D. Williamson, “A new ensemble-based consistency test for the community earth system model.” *Geoscientific Model Development*, 8, 2829–2840, doi:10.5194/gmd-8-2829-2015, 2015.

Yong Hu, Xiaomeng Huang, **Allison H. Baker,** Yu-heng Tseng, Frank O. Bryan, John M. Dennis, and Guangwen Yang, “Improving the Scalability of the Ocean Barotropic Solver in the Community Earth System Model”, Proceedings of the International Conference for High Performance Computing, Networking, and Storage, SC ’15, Austin, TX, pp.42:1-42:12, 2015.

J. Small, J. Bacmeister, D. Bailey, **A. Baker,** S. Bishop, F. Bryan, J. Caron, J. Dennis, P. Gent, H. Hsu, M. Jochum , D. Lawrence, E, Muñoz, P. DiNezio T. Scheitlin R. Tomas, J. Tribbia , Y. Tseng, M. Vertenstein, “A new synoptic scale resolving global climate simulation using the Community Earth System Model.” *Journal of Advances in Modeling Earth Systems, *6, pp. 1065-1094, December 2014, DOI:10.1002/2014MS000363.

**A.H. Baker,** H. Xu, J.M. Dennis, M.N. Levy, D. Nychka, S.A. Mickelson, J. Edwards, M. Vertenstein, A. Wegener, “A Methodology for Evaluating the Impact of Data Compression on Climate Simulation Data.” *Proc. of the 23*^{rd} International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC14), Vancouver, CA, pp. 203-214, 2014.

A.H. Baker, R.D. Falgout, Tz.V. Kolev, and U.M. Yang, “Scaling hypre's Multigrid Solvers to 100,000 Cores.” *High Performance Scientific Computing: Algorithms and Applications - A Tribute to Prof. Ahmed Sameh*, M. Berry et al., eds., Springer (2012), pp. 261-279. doi: 10.1007/978-1-4471-2437-5_13

Andy Yoo, **Allison H. Baker,** Roger Pearce, and Van Emden Henson, “A Scalable Eigensolver for Large Scale-Free Graphs Using 2D Graph Partitioning,” Proceedings of the International Conference for High Performance Computing, Networking, and Storage, SC '11, Seattle, WA, 2011.

**A.H. Baker**, R.D. Falgout, Tz.V. Kolev, and U.M. Yang, “Multigrid Smoothers for Ultra-Parallel Computing,” *SIAM J. Sci. Comput.*, 33, pp. 2864-2887, 2011. “Additional Theory and Discussion”, LLNL Technical Report LLNL-TR-489114. 2011.

**A.H. Baker**, R.D. Falgout, T. Gamblin, Tz.V. Kolev, M. Schulz, and U.M. Yang, “Scaling Algebraic Multigrid Solvers: On the Road to Exascale,” *Proc. of Competence in High Performance Computing*, CiHPC 2010, Schwetzingen Germany, 2010.

**A.H. Baker,** T. Gamblin, M. Schulz, and U.M. Yang, “Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures,” in *Proc. of the 25th IEEE International Parallel and Distributed Processing Symposium* (IPDPS 2011), Anchorage, AK, 2011.

H. Gahvari, **A.H. Baker**, M. Schulz, U.M. Yang, K. Jordan, and W. Gropp, “Modeling the Performance of an Algebraic Multigrid Cycle on HPC Platforms,” in *Proc. of the 25th International Conference on Supercomputing* (ICS 2011), Tucson, AZ, 2011.

**A.H. Baker**, M. Schulz and U. M. Yang, “On the Performance of an Algebraic Multigrid Solver on Multicore Clusters,” in *VECPAR 2010*, J.M.L.M. Palma et al., eds., vol. 6449 of Lecture Notes in Computer Science, Springer-Verlag (2011), pp. 102-115. http://vecpar.fe.up.pt/2010/papers/24.php.

D.A Brain, **A.H. Baker**, J.P. Briggs, J.P. Eastwood, J.S. Halekas, and T. D. Phan, “Episodic Detachment of Martian Crustal Magnetic Fields Leading to Bulk Atmospheric Plasma Escape,” *Geophysical Research Letters*, 37, July 2010, doi:10.1029/2010GL043916.

**A.H. Baker,** Tz.V. Kolev, and U.M. Yang, “Algebraic Multigrid Interpolation Operators for Linear Elasticity Problems,” *Numer. Linear Algebra Appl.*, Special Issue on Multigrid Methods, **17** (2010), pp. 495-517.

**A.H. Baker,** E.R. Jessup, and Tz.V. Kolev, “A Simple Strategy for Varying the Restart Parameter in GMRES(m),” *Journal of Computational and Applied Mathematics*, **230** (2009), pp. 751-761.

**A.H. Baker,** R.D. Falgout, and U.M. Yang, “An Assumed Partition Algorithm for Determining Processor Inter-Communication,” *Parallel Computing*, **32** (2006), pp. 394-414.

**A.H. Baker**, J.M. Dennis, and E.R. Jessup, “On improving Linear Solver Performance: a Block Variant of GMRES,” *SIAM Journal on Scientific Computing*, 27 (2006), pp. 1608-1627.

**A.H. Baker**, S. Crivelli, and E.R. Jessup, “An Efficient Parallel Termination Detection Algorithm,” *International Journal of Parallel, Emergent and Distributed Systems*, 21 (2006), pp. 293-301.

**A.H. Baker**, E.R. Jessup, and T. Manteuffel, “A Technique for Accelerating the Convergence of Restarted GMRES,” *SIAM Journal on Matrix Analysis and Applications, *26 (2005), pp. 962-984.

**A.H. Baker,** “On Improving the Performance of the Linear Solver restarted GMRES,“ Ph.D. thesis, Department of Applied Mathematics, University of Colorado at Boulder, September 2003.

**A. Baker,** J. Dennis, and E.R. Jessup, “Toward Memory-efficient Linear Solvers,” *VECPAR 2002, Fifth International Conference on High Performance Computing for Computational Science: Selected Papers and Invited Talks*, J.M.L.M. Palma and J. Dongarra and V. Hernandez and A.A. Sousa, eds., vol. 2565 of Lecture Notes in Computer Science, Springer, Berlin, 2003, pp.315-327.