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Introduction.

M. Berzins, D. di Serafino, M. Gander, and L. Giraud. Euro-Par (2), volume 6853 of Lecture Notes in Computer Science, page 65. Springer, (2011)

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Martin Baumann

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Univ. -Prof. Martin Ostermann University of Stuttgart

Dr. Martin Rose University of Stuttgart

Other publications of authors with the same name

Solution-Based Mesh Quality Indicators for Triangular and Tetrahedral Meshes.M. Berzins. Int. J. Comput. Geometry Appl., 10 (3): 333-346 (2000)Scalable parallel regridding algorithms for block-structured adaptive mesh refinement.J. Luitjens, and M. Berzins. Concurrency and Computation: Practice and Experience, 23 (13): 1522-1537 (2011)Scalable large-scale fluid-structure interaction solvers in the Uintah framework via hybrid task-based parallelism algorithms.Q. Meng, and M. Berzins. Concurrency and Computation: Practice and Experience, 26 (7): 1388-1407 (2014)Balancing Space and Time Errors in the Method of Lines for Parabolic Equations.J. Lawson, M. Berzins, and P. Dew. SIAM J. Scientific Computing, 12 (3): 573-594 (1991)A Method for the Spatial Discretization of Parabolic Equations in One Space Variable.R. Skeel, and M. Berzins. SIAM J. Scientific Computing, 11 (1): 1-32 (1990)Visalization and its Use in Scientific Computation.K. Brodlie, M. Berzins, P. Dew, A. Poon, and H. Wright. Programming Environments for High-Level Scientific Problem Solving, volume A-2 of IFIP Transactions, page 293-305. North-Holland, (1991)Enhanced Dynamic Load-Balancing of Adaptive Unstructured Meshes.C. Walshaw, and M. Berzins. PPSC, page 971-978. (1993)Demonstrating GPU code portability and scalability for radiative heat transfer computations.B. Peterson, A. Humphrey, J. Holmen, T. Harman, M. Berzins, D. Sunderland, and H. Edwards. J. Comput. Science, (2018)The influence of an applied heat flux on the violence of reaction of an explosive device.M. Hall, J. Beckvermit, C. Wight, T. Harman, and M. Berzins. XSEDE, page 11:1-11:8. ACM, (2013)Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks.J. Holmen, A. Humphrey, D. Sunderland, and M. Berzins. PEARC, page 27:1-27:8. ACM, (2017)