Gerald Baumgartner

Associate Professor

Contact

gb@lsu.edu
Office 3272D
Patrick F. Taylor Hall

Educational Background

Ph.D. in Computer Science, Purdue University, 1996

M.S. in Computer Science, Purdue University, 1992

Dipl.-Ing. in Computer Science, Linz University, 1988

Gerald Baumgartner

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CSC 1351: Introduction to Computer Science II for Majors
CSC 4101: Programming Languages
CSC 4351: Compiler Construction
CSC 7101: Programming Language Structures
CSC 7351: Advanced Compiler Design Theory

Cloud Computing and Desktop Grids
Software Testing Tools
Social Media Data Mining
Embedded Systems Programming Tools
Compiler Optimization
Design and Implementation of Domain-Specific Languages
Object-Oriented Languages

Mithila, S. P., Franz, P., & Baumgartner, G. (2023, February). Scheduling Many-Task Applications on Multi-clouds and Hybrid Clouds. In Workshop on Asynchronous Many-Task Systems and Applications (PP. 65-78). Cham: Springer Nature Switzerland.
Peterson, B., Fazlalizadeh, Y., Baumgartner, G., & Wang, Q. (2018). A vector-scheduling approach for running man-task applications in the cloud. In Cloud Computing--Cloud 2018: 11th International Conference, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings 11 (pp. 3-19). Springer International Publishing.
Peterson, B., Baumgartner, G., & Wang, Q. (2017). A decentralized scheduling framework for many-task scientific computing in a hybrid cloud. STCC, 5(1), 1-13.
Lu, Q., Gao, X., Krishnamoorthy, S., Baumgartner, G., Ramanujam, J., & Sadayappan, P. (2012). Empirical performance model-driven data layout optimization and library call selection for tensor contraction expressions. Journal of Parallel and Distributed Computing, 72(3), 338-352.
Lam, C. C., Rauber, T., Baumgartner, G., Cociorva, D., & Sadayappan, P. (2011). Memory-optimal evaluation of expression trees involving large objects. Computer Languages, Systems & Structures, 37(2), 63-75
Hartono, A., Lu, Q., Henretty, T., Krishnamoorthy, S., Zhang, H., Baumgartner, G., ... & Sadayappan, P. (2009). Performance optimization of tensor contraction expressions for many-body methods in quantum chemistry. The Journal of Physical Chemistry A, 113(45), 12715-12723.
Chakravarti, A. J., Baumgartner, G., & Lauria, M. (2006). Self-organizing scheduling on the organic grid. The International Journal of High Performance Computing Applications, 20(1), 115-130.
Auer, A. A., Baumgartner, G., Bernholdt, D. E., Bibireata, A., Choppella, V., Cociorva, D., ... & Sibiryakov, A. (2006). Automatic code generation for many-body electronic structure methods: the tensor contraction engine. Molecular Physics, 104(2), 211-228.
Baumgartner, G., Auer, A., Bernholdt, D. E., Bibireata, A., Choppella, V., Cociorva, D., ... & Sibiryakov, A. (2005). Synthesis of high-performance parallel programs for a class of ab initio quantum chemistry models. Proceedings of the IEEE, 93(2), 276-292.
Chakravarti, A. J., Baumgartner, G., & Lauria, M. (2005). The organic grid: Self-organizing computation on a peer-to-peer network. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 35(3), 373-384.

January 2024 - Sep 2025, LSU Share $300,000. DOE Advance Program. "Transferring exascale computational chemistry to cloud computingenvironment and emerging hardware technologies (TEC4)", Karol Kowalski, Ajay Panyala, Chao Yang, Eric J. Bylaska, Jaes Ang, Nathan Baker, Tunna Baruah, Gerald Baumgartner, Nicolas Bauman, Tony Brewer, Sutanay Choudhury, Koblar Jackson, Hongbin Liu, Andres Marquez, Mark Pederson, P. (Saday) Sadayappan, and Sotiris Xantheas.