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Luke Olson

University of Illinois at Urbana-Champaign

Computer and Computation Research


Andrew Reisner, Luke N. Olson, and J. David Moulton (2018): Scaling Structured Multigrid to 500K+ Cores through Coarse-Grid Redistribution, (in review)
Jon Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, and William D. Gropp (2018): Exploring the Feasibility of Lossy Compression for PDE Simulations, The International Journal of High Performance Computing Applications, SAGE Publications, pp109434201876203


Amanda Bienz, William D. Gropp, Luke N. Olson (2017): Node Aware Sparse Matrix-Vector Multiplication, SIAM Journal on Scientific Computing (submitted)
Jon Calhoun, Marc Snir, Luke N. Olson, and William D. Gropp (2017): Towards a More Complete Understanding of SDC Propagation, ACM Press, Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing (HPDC '17), pp131, Washington, D.C., U.S.A.


William Gropp, Luke N. Olson, and Philipp Samfass (2016): Modeling MPI Communication Performance on SMP Nodes: Is it Time to Retire the Ping Pong Test?, ACM Press, Proceedings of the 23rd European MPI Users' Group Meeting (EuroMPI 2016), pp41-50, Edinburgh, Scotland, U.K.
Amanda Bienz, Robert D. Falgout, William Gropp, Luke N. Olson, and Jacob B. Schroder (2016): Reducing Parallel Communication in Algebraic Multigrid Through Sparsification, SIAM Journal on Scientific Computing, Society for Industrial & Applied Mathematics (SIAM), Vol 38, Num 5, ppS332--S357
D. Guo, W. Gropp, and L. N. Olson (2016): A Hybrid Format for Better Performance of Sparse Matrix-Vector Multiplication on a GPU, International Journal of High Performance Computing Applications, SAGE Publications, Vol 30, Num 1, pp103--120


Jon Calhoun, Marc Snir, Luke Olson, and Maria Garzaran (2015): Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply, IEEE, 2015 IEEE International Conference on Cluster Computing, pp541-542, Chicago, Illinois, U.S.A.
J. Calhoun, L. Olson, M. Snir, and W.D. Gropp (2015): Towards a More Fault Resilient Multigrid Solver, Society for Computer Simulation International, Proceedings of the High Performance Computing Symposium (HPC '15), pp1-8, Alexandria, Virginia, U.S.A.


Jon Calhoun, Luke Olson, and Marc Snir (2014): FlipIt: An LLVM Based Fault Injector for HPC, Springer Science + Business Media, Lecture Notes in Computer Science, pp547--558
Kris Beckwith, Seth Veitzer, Stephen F. McCormick, John W. Ruge, Luke N. Olson, and Jon C. Calhoun (2014): Fully-Implicit Ultrascale Physics Solvers and Application to Ion Source Modelling, Institute of Electrical & Electronics Engineers (IEEE), 2014 IEEE 41st International Conference on Plasma Sciences (ICOPS) held with 2014 IEEE International Conference on High-Power Particle Beams (BEAMS), pp1-8, Washington, D.C., U.S.A.


Luke Olson (2017): Localizing Communication in Sparse Matrix Operations, 2017 Blue Waters Annual Report, pp180-181


Luke Olson (2016): The Next Generation of Large-Scale Sparse-Matrix Computations, 2016 Blue Waters Annual Report, pp166-168

Blue Waters Illinois allocations awarded to 26 research teams

Mar 7, 2017

Twenty-six research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Application's (NCSA) sustained-petascale Blue Waters supercomputer after applying in Fall 2016. These allocations range from 25,000 to 600,000 node-hours of compute time over a time span of either six months or one year. The research pursuits of these teams are incredibly diverse, ranging anywhere from physics to political science.