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Richard Peng, Massachusetts Institute of Technology Spectral Algorithms: From Theory to Practice ... Blue Waters Symposium presentation: Project PI: Liqiang Wang, University of Wyoming. Dmitry Zaitsev talk to Linux Vacation / Eastern Europe International conference of developers and users of free ... Iain Duff STFC Rutherford Appleton Laboratory November 1, 2012. Lecture 2 by Dr Nathan Bell, at the Pan-American Advanced Studies Institute (PASI)—"Scientific Authors: Monika Henzinger (University of Vienna); Billy Jin (Cornell University); Richard Peng (Carnegie Mellon University and ...
Case study for real applications using UPC++: Sparse symmetric matrix Presented at the Argonne Training Program on Extreme-Scale Finding intersections points between two lines using the Elimination method. Each example in this video has
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Last Updated: June 18, 2026
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An Efficient Parallel Solver for SDD Linear Systems
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A Scalable Parallel LSQR Algorithm for Solving Large-Scale Linear System
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A Scalable Parallel LSQR Algorithm for Solving Large-Scale Linear System
High-Performance Multifrontal Solver with Low-Rank Compression
Speed-up Solving Linear Systems on Parallel Architectures via Aggregation of Clans
A New Parallel Solver for Sparse Symmetric Matrices and a Storage Optimal Selected Inversion
Solving Large Sparse Linear Systems: The Exascale Challenge
Iterative methods for sparse linear systems on GPU
Spectral graph sparsification Part 1: --
Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines
Stanford CS149 I Parallel Computing I 2023 I Lecture 8 - Data-Parallel Thinking
A Combinatorial Cut-Toggling Algorithm for Solving Laplacian Linear Systems
UPC++ Applications: Sparse Solvers
JuliaCon 2020 | Parallel Implementation of Monte Carlo-Markov Chain Algorithm | Oscar A.
TCS+ Talk: Richard Peng
Adaptive Linear Solvers and Eigensolvers ǀ Jack Dongarra, UT Knoxville
