Davis, Timothy individual record
Professor - Term Appointment
Positions:
overview

My research spans the spectrum of theory, algorithms, and software development in the area of sparse matrix and graph algorithms. I'm not just interested in creating new methods and software prototypes to demonstrate those methods. I pursue the code further to produce better-than-commercial-quality software that embodies these new methods. Twelve of my codes appear as Collected Algorithms of the ACM, where they undergo rigorous peer-review testing for their research contributions and software quality.

selected publications
Academic Articles38
  • Davis, T. A., Hager, W. W., Kolodziej, S. P., & Yeralan, S. N. (2020). Algorithm 1003. ACM Transactions on Mathematical Software. 46(1), 1-18.
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  • Davis, T. A., Duff, I. S., & Nakov, S. (2020). Design and Implementation of a Parallel Markowitz Threshold Algorithm. SIAM Journal on Matrix Analysis and Applications. 41(2), 573-590.
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  • Davis, T. A. (2019). Algorithm 1000. ACM Transactions on Mathematical Software. 45(4), 1-25.
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  • Kolodziej, S., Aznaveh, M., Bullock, M., David, J., Davis, T., Henderson, M., Hu, Y., & Sandstrom, R. (2019). The SuiteSparse Matrix Collection Website Interface. Journal of Open Source Software. 4(35), 1244-1244.
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  • Lourenco, C., Escobedo, A. R., Moreno-Centeno, E., & Davis, T. A. (2019). Exact Solution of Sparse Linear Systems via Left-Looking Roundoff-Error-Free LU Factorization in Time Proportional to Arithmetic Work. SIAM Journal on Matrix Analysis and Applications. 40(2), 609-638.
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Books3
  • Davis, T. A. (2010). MATLAB Primer, Eighth Edition. CRC Press.
  • Davis, T. A. (2006). Direct Methods for Sparse Linear Systems. SIAM.
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  • Sahni, S., Davis, T., Rajasekeran, S., & Ranka, S. (2000). Foreword.
Chapters2
  • Davis, T. A., & Natarajan, E. P. (2012). Sparse Matrix Methods for Circuit Simulation Problems. Scientific Computing in Electrical Engineering SCEE 2010. 3-14. Springer Berlin Heidelberg.
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  • Hager, W. W., Park, S. C., & Davis, T. A. (2000). Block Exchange in Graph Partitioning. Nonconvex Optimization and Its Applications. Pardalos, P. M. (Eds.), Nonconvex Optimization and Its Applications. 298-307. Springer US.
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Conference Papers21
  • Pelletier, M., Kimmerer, W., Davis, T. A., & Mattson, T. G. (2021). The GraphBLAS in Julia and Python: the PageRank and Triangle Centralities. 2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021 IEEE High Performance Extreme Computing Conference (HPEC). 00, 1-7.
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  • Szarnyas, G., Bader, D. A., Davis, T. A., Kitchen, J., Mattson, T. G., McMillan, S., & Welch, E. (2021). LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms. 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 00, 243-252.
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  • Elekes, M., Nagy, A., Sandor, D., Antal, J. B., Davis, T. A., & Szarnyas, G. (2020). A GraphBLAS solution to the SIGMOD 2014 Programming Contest using multi-source BFS. 2020 IEEE High Performance Extreme Computing Conference (HPEC), 2020 IEEE High Performance Extreme Computing Conference (HPEC). 00, 1-7.
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  • Kepner, J., Meiners, C., Byun, C., McGuire, S., Davis, T., Arcand, W., ... IEEE. (2020). Multi-Temporal Analysis and Scaling Relations of 100,000,000,000 Network Packets. 2020 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC).
  • Davis, T. A., Aznaveh, M., & Kolodziej, S. (2019). Write Quick, Run Fast: Sparse Deep Neural Network in 20 Minutes of Development Time via SuiteSparse:GraphBLAS. 2019 IEEE High Performance Extreme Computing Conference (HPEC), 2019 IEEE High Performance Extreme Computing Conference (HPEC). 00, 1-6.
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Repository Documents / Preprints1
  • Szárnyas, G., Bader, D. A., Davis, T. A., Kitchen, J., Mattson, T. G., McMillan, S., & Welch, E. (2021). LAGraph: Linear Algebra, Network Analysis Libraries, and the Study of Graph Algorithms.
Email
davis@tamu.edu
First Name
Timothy
Last Name
Davis