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Computer Architecture Group

Maximilian Bremer

Maximilian Bremer
Postdoctoral Fellow
Computer Science Department
Computer Architecture Group

Biographical Sketch

Max received his Ph.D. (2020) and M.Sc. (2018) from the Oden Institute at the University of Texas at Austin. He completed Part III of the Mathematical Tripos at the University of Cambridge in 2015, and completed a double major in Aerospace Engineering and Applied Mathematics at the University of Texas at Austin in 2014.

Max’s research interests broadly relate to scientific computing in a post-Moore’s law era. Specifically, he is focused on improving scalability of adaptive state-driven computation using optimistic (Timewarp-based) parallel discrete event simulation. He is also interested in novel software/hardware co-design processes that will tighten the design loop between mathematicians and hardware engineers to facilitate faster and more effective exploration of the design space.

Current Projects

  • Project 38: A set of vendor-agnostic architectural explorations involving NSA, the DOE Office of Science, and NNSA
  • PARADISE++: Large Scale Optimistic Synchronization based simulation of Post Moore Systems (ARO Project)

Journal Articles

Maximilian Bremer, John Bachan, Cy Chan, Clint Dawson, "Adaptive total variation stable local timestepping for conservation laws", Journal of Computational Physics, April 21, 2022,

Conference Papers

Md Abdul M Faysal, Shaikh Arifuzzaman, Cy Chan, Maximilian Bremer, Doru Popovici, John Shalf, "HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach", HPEC, September 20, 2021,

Maximilian Bremer, John Bachan, Cy Chan, and Clint Dawson, "Speculative Parallel Execution for Local Timestepping", 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, May 21, 2021,

Maximilian H Bremer, John D Bachan, Cy P Chan, "Semi-Static and Dynamic Load Balancing for Asynchronous Hurricane Storm Surge Simulations", 2018 Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), November 16, 2018,