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Available position papers submitted in response to the ExaMath13 Call for Position Papers.

 

pdfAuthor(s)Title
1Beth WingateComputing Highly Oscillatory Systems at the Exascale
2Chi-Wang ShuPosition paper: Discontinuous Galerkin methods for exascale computing
3Shengxin ZhuSmall dots, big challenging?
4Nageswara RaoFault Detection and Profiling Algorithms for Exascale Computing Systems
5Wei CaiA new extreme-scale parallel Poisson/Helmholtz solver combining local boundary integral equation and random walk methods
6James GlimmFinite Rate Chemistry
7Nageswara RaoConfidence Estimation for Exascale Computations
8Jean-Luc FattebertShort-range O(N) algorithms for First-Principles Molecular Dynamics at extreme scales
9Ulrike YangMultilevel Methods Combine All Properties that are Essential for Fast and Efficient Performance at the Extreme Scale
10Wei Cai and Shanhui FanParallel stochastic methods for exploring randomness in solar cell designs
11Peter Brune, Barry Smith and Matthew KnepleyNonlinear Solver Algorithms at the Exascale: Rethinking the Full Linearization Bottlenecks
12Kiran BhaganagarNumerical simulation of turbulent flows in natural systems: Framework
13Eric Phipps, H. Carter Edwards, Jonathan Hu and Clayton WebsterRealizing Exascale Performance for Uncertainty Quantification
14Jeff Banks and Bill HenshawThe design and development of modular and adaptive algorithms
15Sven Leyffer, Todd Munson, Stefan Wild, Bart van Bloemen Waanders and Denis RidzalMixed-Integer PDE-Constrained Optimization
16William Henshaw and Jeffrey BanksApplied Math Exascale Workshop Position Paper: A Challenge Problem Competition and Multi-Algorithm Optimizations
17Tzanio KolevScalable multi-physics simulations will require new discretization and numerical methods research
18Zhaojun Bai and Ren-Cang LiScalable Eigensolvers for Excited States Calculations
19Lori Diachin, Mark Shephard, Jeff Banks, Tim Tautges, Onkar Sahni and William HenshawScalable Mesh-Based Simulation Workflows are required for Exascale Computers
20Howard Elman and Bedrich SousedikToward Exascale Solvers for Stochastic FEM
21Jinchao XuDesign and Analysis of Fault-tolerant Multilevel Iterative Algorithms
22Wim Vanroose, Pieter Ghysels, Dirk Roose and Karl MeerbergenHiding global communication latency and increasing the arithmetic intensity in extreme-scale Krylov solvers
23Valery Il'In and Dmitry ButyuginExascale challenges and issues of applied mathematics
24Yu Zhuang, Michele Ceotto, William Hase and Wibe De JongTowards Higher Scalability than Embarrassing Parallelism: Some Thoughts on Ab Initio Semiclassical Molecular Dynamics Simulations on Exascale Machines
25Dana Knoll, Luis Chacon, Tim Kelley and Kord SmithMoment-based scale-bridging algorithms for multiphysics kinetic simulations at the exascale
26Yan WangReliable Extreme-Scale Stochastic Dynamics Simulation based on Generalized Interval Probability – I. Uncertainty Dynamics
27Assad Oberai, Onkar Sahni and Mark ShephardAdaptive Multiscale Predictions at Exascale
28Duan Zhang and Dana KnollTree-like Processor Architecture for Multi-scale, Multi-material and Multi-physics Computation Based on the Material Point Method
29Charles TongA Position Paper on Extreme-scale Uncertainty Quantification Methodologies
30Yan WangReliable Extreme-Scale Stochastic Dynamics Simulation based on Generalized Interval Probability – II. Multiscale Quantification
31Michael Mascagni and Michela TauferMonte Carlo Methods Are Perfectly Situated to Enable Exascale Scientific Computing
32Bert Debusschere and Habib NajmProbabilistic Approaches for Communication Avoidance and Resilience in Exascale Simulations
33Joseph Teran and Alice KonigesMaterial Point Methods and Multiphysics for Fracture and Multi-phase Problems
34Eduardo D'Azevedo and Judith HillExternal Memory Algorithms for Reducing Data Movement
35Judith Hill and Bronson MesserEngagement of the Leadership Computing Facilities in the Exascale Math Conversation: A Critical Gap
36Alice Koniges, Jean-Luc Vay, Alex Friedman, Hartmut Kaiser and Thomas SterlingConsideration of Asynchronous Algorithms for Particle-Grid Simulations
37Qiqi WangScalable Parallel-in-Time Simulation of Extreme-Scale Chaotic Systems
39Brian Van StraalenHeterogenous Execution
40David Keyes, Lois Curfman McInnes, Carol Woodward, William Gropp and Eric MyraA Considered Approach to Multiphysics Problems at the Exascale: Coupled Until Proven Decoupled
41Richard VuducCan algorithms inform architecture?
42Karen Devine, Sivasankaran Rajamanickam and Erik BomanCombinatorial Scientific Computing for Exascale Systems and Applications
43Janine Bennett, C. Seshadhri, Ali Pinar and David ThompsonSublinear Algorithms for In-situ and In-transit Data Analysis at the Extreme-Scale
44Erik G. Boman, Karen Devine, Siva Rajamanickam and Eric PhippsPartitioning and Sparse Computations at Exascale
45Jeremiah Willcock and Andrew LumsdaineMinimizing Exascale Memory Bandwidth Usage through Sparse Matrix Compression
46Michael MinionEfficient Temporal Integration at The Exascale
47Xiaoye LiHierarchical Algorithms with Reduced Communication/Synchronization
48Aydin BulucApplied Mathematics for Data Analysis in the Exascale
49Chandrika KamathMining Massive Complex Datasets on Emerging Architectures
50Peter Graf, Michael Sprague and Ray GroutCoupling of hierarchical multiphysics models and other mathematical issues in extreme scale computing
51Xiao-Chuan CaiParallel Space-time Methods for Time Dependent Optimization Problems
52Bijan MohammadiPrincipal angles between subspaces and reduced order modelling accuracy in scalable robust optimization
53Rick Archibald, Constantinescu Emil, Katherine Evans, Hal Finkel, Terry Haut, Boyanna Norris, Mathew Norman, Adrin Sandu, Miroslav Stonyanov, Mayya Tokman, Beth Wingate and Yulong XingResilient, Communication-Reducing, and Adaptive Time Stepping to Accelerate Exascale Scientific Applications
54Todd Munson, Paul Hovland and Stefan WildAdaptive Precision Arithmetic for Reducing Memory and Increasing Computation
55Peer-Timo BremerIn-Situ Data Transformations to Enable Exascale Analysis
56Michael HerouxToward Resilient Algorithms and Applications
57Uli RuedeNew Mathematics for Exascale Computational Science?
58Frederic NatafInnovation for Exascale computing
59Erik G. BomanRandomized and Asynchronous Algorithms for Large Linear Systems
60Ivan Yotov and Paolo ZuninoThe interplay between numerical solvers and computational geometry for exascale computing
61Jude ZhuPhysical Properties Preserving Algorithms
62Paul Constantine, David Gleich and Joseph NicholsMapReduce's Role in Mathematics for Extreme-Scale Computing
63F. Battaglia, Christopher Beattie, Serkan Gugercin, Christopher John Roy, Eric de Sturler, Adrian Sandu, Layne Watson, Mehrdad Shahnam, Madhava Syamlal, Dave Engel and Xin SunEssentially Local Approaches to Exascale UQ
64Deepak RajanSolving stochastic optimization problems using exascale-ready algorithms
65Iain Duff and Serge GrattonDevelopment of mathematical models for Exascale and beyond
66Alex Povitsky and Shunliu ZhaoCombined continuum and molecular methodology for micro- and nano- scale flows through filters
67John GilbertAlgorithmic Primitives for Exascale Computational Discrete Mathematics
68James DemmelAvoiding Communication at Exascale
69Greg BronevetskyManagement of Variable Accuracy for Application Optimization
70Greg BronevetskyTowards Comprehensive Resilience for Scientific Applications
71Misun Min and Paul FischerExascale Computing Challenges for Energy Harvesting Systems
72Jed BrownVectorization, communication aggregation, and reuse in stochastic and temporal dimensions
73Dmitry Karpeev, Olle Heinonen and Juan de PabloAlgorithms for Exascale Computational Mesoscience
74Adrian SanduFusing Information from Models and Measurements at the Exascale
   
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Mark F. Adams, Jed Brown and Matt Knepley
Low-communication techniques for extreme-scale multilevel solvers