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<button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2311.02010">arXiv:2311.02010</a> <span> [<a href="https://arxiv.org/pdf/2311.02010">pdf</a>, <a href="https://arxiv.org/format/2311.02010">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> </div> </div> <p class="title is-5 mathjax"> A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=McInnes%2C+L+C">Lois Curfman McInnes</a>, <a href="/search/cs?searchtype=author&query=Heroux%2C+M">Michael Heroux</a>, <a href="/search/cs?searchtype=author&query=Bernholdt%2C+D+E">David E. Bernholdt</a>, <a href="/search/cs?searchtype=author&query=Dubey%2C+A">Anshu Dubey</a>, <a href="/search/cs?searchtype=author&query=Gonsiorowski%2C+E">Elsa Gonsiorowski</a>, <a href="/search/cs?searchtype=author&query=Gupta%2C+R">Rinku Gupta</a>, <a href="/search/cs?searchtype=author&query=Marques%2C+O">Osni Marques</a>, <a href="/search/cs?searchtype=author&query=Moulton%2C+J+D">J. David Moulton</a>, <a href="/search/cs?searchtype=author&query=Nam%2C+H+A">Hai Ah Nam</a>, <a href="/search/cs?searchtype=author&query=Norris%2C+B">Boyana Norris</a>, <a href="/search/cs?searchtype=author&query=Raybourn%2C+E+M">Elaine M. Raybourn</a>, <a href="/search/cs?searchtype=author&query=Willenbring%2C+J">Jim Willenbring</a>, <a href="/search/cs?searchtype=author&query=Almgren%2C+A">Ann Almgren</a>, <a href="/search/cs?searchtype=author&query=Bartlett%2C+R">Ross Bartlett</a>, <a href="/search/cs?searchtype=author&query=Cranfill%2C+K">Kita Cranfill</a>, <a href="/search/cs?searchtype=author&query=Fickas%2C+S">Stephen Fickas</a>, <a href="/search/cs?searchtype=author&query=Frederick%2C+D">Don Frederick</a>, <a href="/search/cs?searchtype=author&query=Godoy%2C+W">William Godoy</a>, <a href="/search/cs?searchtype=author&query=Grubel%2C+P">Patricia Grubel</a>, <a href="/search/cs?searchtype=author&query=Hartman-Baker%2C+R">Rebecca Hartman-Baker</a>, <a href="/search/cs?searchtype=author&query=Huebl%2C+A">Axel Huebl</a>, <a href="/search/cs?searchtype=author&query=Lynch%2C+R">Rose Lynch</a>, <a href="/search/cs?searchtype=author&query=Thakur%2C+A+M">Addi Malviya Thakur</a>, <a href="/search/cs?searchtype=author&query=Milewicz%2C+R">Reed Milewicz</a>, <a href="/search/cs?searchtype=author&query=Miller%2C+M+C">Mark C. Miller</a> , et al. (9 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2311.02010v2-abstract-short" style="display: inline;"> Computational and data-enabled science and engineering are revolutionizing advances throughout science and society, at all scales of computing. For example, teams in the U.S. DOE Exascale Computing Project have been tackling new frontiers in modeling, simulation, and analysis by exploiting unprecedented exascale computing capabilities-building an advanced software ecosystem that supports next-gene… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.02010v2-abstract-full').style.display = 'inline'; document.getElementById('2311.02010v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2311.02010v2-abstract-full" style="display: none;"> Computational and data-enabled science and engineering are revolutionizing advances throughout science and society, at all scales of computing. For example, teams in the U.S. DOE Exascale Computing Project have been tackling new frontiers in modeling, simulation, and analysis by exploiting unprecedented exascale computing capabilities-building an advanced software ecosystem that supports next-generation applications and addresses disruptive changes in computer architectures. However, concerns are growing about the productivity of the developers of scientific software, its sustainability, and the trustworthiness of the results that it produces. Members of the IDEAS project serve as catalysts to address these challenges through fostering software communities, incubating and curating methodologies and resources, and disseminating knowledge to advance developer productivity and software sustainability. This paper discusses how these synergistic activities are advancing scientific discovery-mitigating technical risks by building a firmer foundation for reproducible, sustainable science at all scales of computing, from laptops to clusters to exascale and beyond. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.02010v2-abstract-full').style.display = 'none'; document.getElementById('2311.02010v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 3 November, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 1 figure</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2112.12592">arXiv:2112.12592</a> <span> [<a href="https://arxiv.org/pdf/2112.12592">pdf</a>, <a href="https://arxiv.org/format/2112.12592">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computational Engineering, Finance, and Science">cs.CE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Numerical Analysis">math.NA</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1016/j.jcp.2022.111396">10.1016/j.jcp.2022.111396 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Flow and Transport in Three-Dimensional Discrete Fracture Matrix Models using Mimetic Finite Difference on a Conforming Multi-Dimensional Mesh </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Hyman%2C+J+D">Jeffrey D. Hyman</a>, <a href="/search/cs?searchtype=author&query=Sweeney%2C+M+R">Matthew R. Sweeney</a>, <a href="/search/cs?searchtype=author&query=Gable%2C+C+W">Carl W. Gable</a>, <a href="/search/cs?searchtype=author&query=Svyatsky%2C+D">Daniil Svyatsky</a>, <a href="/search/cs?searchtype=author&query=Lipnikov%2C+K">Konstantin Lipnikov</a>, <a href="/search/cs?searchtype=author&query=Moulton%2C+J+D">J. David Moulton</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2112.12592v1-abstract-short" style="display: inline;"> We present a comprehensive workflow to simulate single-phase flow and transport in fractured porous media using the discrete fracture matrix approach. The workflow has three primary parts: (1) a method for conforming mesh generation of and around a three-dimensional fracture network, (2) the discretization of the governing equations using a second-order mimetic finite difference method, and (3) im… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.12592v1-abstract-full').style.display = 'inline'; document.getElementById('2112.12592v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2112.12592v1-abstract-full" style="display: none;"> We present a comprehensive workflow to simulate single-phase flow and transport in fractured porous media using the discrete fracture matrix approach. The workflow has three primary parts: (1) a method for conforming mesh generation of and around a three-dimensional fracture network, (2) the discretization of the governing equations using a second-order mimetic finite difference method, and (3) implementation of numerical methods for high-performance computing environments. A method to create a conforming Delaunay tetrahedralization of the volume surrounding the fracture network, where the triangular cells of the fracture mesh are faces in the volume mesh, that addresses pathological cases which commonly arise and degrade mesh quality is also provided. Our open-source subsurface simulator uses a hierarchy of process kernels (one kernel per physical process) that allows for both strong and weak coupling of the fracture and matrix domains. We provide verification tests based on analytic solutions for flow and transport, as well as numerical convergence. We also provide multiple expositions of the method in complex fracture networks. In the first example, we demonstrate that the method is robust by considering two scenarios where the fracture network acts as a barrier to flow, as the primary pathway, or offers the same resistance as the surrounding matrix. In the second test, flow and transport through a three-dimensional stochastically generated network containing 257 fractures is presented. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.12592v1-abstract-full').style.display = 'none'; document.getElementById('2112.12592v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 December, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2021. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1803.02481">arXiv:1803.02481</a> <span> [<a href="https://arxiv.org/pdf/1803.02481">pdf</a>, <a href="https://arxiv.org/format/1803.02481">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mathematical Software">cs.MS</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Performance">cs.PF</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Numerical Analysis">math.NA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computational Physics">physics.comp-ph</span> </div> </div> <p class="title is-5 mathjax"> Scaling Structured Multigrid to 500K+ Cores through Coarse-Grid Redistribution </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Reisner%2C+A">Andrew Reisner</a>, <a href="/search/cs?searchtype=author&query=Olson%2C+L+N">Luke N. Olson</a>, <a href="/search/cs?searchtype=author&query=Moulton%2C+J+D">J. David Moulton</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1803.02481v1-abstract-short" style="display: inline;"> The efficient solution of sparse, linear systems resulting from the discretization of partial differential equations is crucial to the performance of many physics-based simulations. The algorithmic optimality of multilevel approaches for common discretizations makes them a good candidate for an efficient parallel solver. Yet, modern architectures for high-performance computing systems continue to… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1803.02481v1-abstract-full').style.display = 'inline'; document.getElementById('1803.02481v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1803.02481v1-abstract-full" style="display: none;"> The efficient solution of sparse, linear systems resulting from the discretization of partial differential equations is crucial to the performance of many physics-based simulations. The algorithmic optimality of multilevel approaches for common discretizations makes them a good candidate for an efficient parallel solver. Yet, modern architectures for high-performance computing systems continue to challenge the parallel scalability of multilevel solvers. While algebraic multigrid methods are robust for solving a variety of problems, the increasing importance of data locality and cost of data movement in modern architectures motivates the need to carefully exploit structure in the problem. Robust logically structured variational multigrid methods, such as Black Box Multigrid (BoxMG), maintain structure throughout the multigrid hierarchy. This avoids indirection and increased coarse-grid communication costs typical in parallel algebraic multigrid. Nevertheless, the parallel scalability of structured multigrid is challenged by coarse-grid problems where the overhead in communication dominates computation. In this paper, an algorithm is introduced for redistributing coarse-grid problems through incremental agglomeration. Guided by a predictive performance model, this algorithm provides robust redistribution decisions for structured multilevel solvers. A two-dimensional diffusion problem is used to demonstrate the significant gain in performance of this algorithm over the previous approach that used agglomeration to one processor. In addition, the parallel scalability of this approach is demonstrated on two large-scale computing systems, with solves on up to 500K+ cores. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1803.02481v1-abstract-full').style.display = 'none'; document.getElementById('1803.02481v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 March, 2018; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2018. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">21 pages</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> Los Alamos Report LA-UR-17-22886 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1702.08425">arXiv:1702.08425</a> <span> [<a href="https://arxiv.org/pdf/1702.08425">pdf</a>, <a href="https://arxiv.org/format/1702.08425">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mathematical Software">cs.MS</span> </div> </div> <p class="title is-5 mathjax"> xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Bartlett%2C+R">Roscoe Bartlett</a>, <a href="/search/cs?searchtype=author&query=Demeshko%2C+I">Irina Demeshko</a>, <a href="/search/cs?searchtype=author&query=Gamblin%2C+T">Todd Gamblin</a>, <a href="/search/cs?searchtype=author&query=Hammond%2C+G">Glenn Hammond</a>, <a href="/search/cs?searchtype=author&query=Heroux%2C+M">Michael Heroux</a>, <a href="/search/cs?searchtype=author&query=Johnson%2C+J">Jeffrey Johnson</a>, <a href="/search/cs?searchtype=author&query=Klinvex%2C+A">Alicia Klinvex</a>, <a href="/search/cs?searchtype=author&query=Li%2C+X">Xiaoye Li</a>, <a href="/search/cs?searchtype=author&query=McInnes%2C+L+C">Lois Curfman McInnes</a>, <a href="/search/cs?searchtype=author&query=Moulton%2C+J+D">J. David Moulton</a>, <a href="/search/cs?searchtype=author&query=Osei-Kuffuor%2C+D">Daniel Osei-Kuffuor</a>, <a href="/search/cs?searchtype=author&query=Sarich%2C+J">Jason Sarich</a>, <a href="/search/cs?searchtype=author&query=Smith%2C+B">Barry Smith</a>, <a href="/search/cs?searchtype=author&query=Willenbring%2C+J">Jim Willenbring</a>, <a href="/search/cs?searchtype=author&query=Yang%2C+U+M">Ulrike Meier Yang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1702.08425v1-abstract-short" style="display: inline;"> Extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team has resources for all predictive science and decision support capabilities. Scientific libraries provide high-quality, reusable software components for constructing applications with improved robustness and portability.… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1702.08425v1-abstract-full').style.display = 'inline'; document.getElementById('1702.08425v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1702.08425v1-abstract-full" style="display: none;"> Extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team has resources for all predictive science and decision support capabilities. Scientific libraries provide high-quality, reusable software components for constructing applications with improved robustness and portability. However, without coordination, many libraries cannot be easily composed. Namespace collisions, inconsistent arguments, lack of third-party software versioning, and additional difficulties make composition costly. The Extreme-scale Scientific Software Development Kit (xSDK) defines community policies to improve code quality and compatibility across independently developed packages (hypre, PETSc, SuperLU, Trilinos, and Alquimia) and provides a foundation for addressing broader issues in software interoperability, performance portability, and sustainability. The xSDK provides turnkey installation of member software and seamless combination of aggregate capabilities, and it marks first steps toward extreme-scale scientific software ecosystems from which future applications can be composed rapidly with assured quality and scalability. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1702.08425v1-abstract-full').style.display = 'none'; document.getElementById('1702.08425v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 February, 2017; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2017. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">14 pages</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> D.2.0; D.2.2; D.2.11 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1611.00127">arXiv:1611.00127</a> <span> [<a href="https://arxiv.org/pdf/1611.00127">pdf</a>, <a href="https://arxiv.org/format/1611.00127">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Numerical Analysis">math.NA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computational Engineering, Finance, and Science">cs.CE</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1137/16M1082652">10.1137/16M1082652 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Bui%2C+Q+M">Quan M. Bui</a>, <a href="/search/cs?searchtype=author&query=Elman%2C+H+C">Howard C. Elman</a>, <a href="/search/cs?searchtype=author&query=Moulton%2C+J+D">J. D. Moulton</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1611.00127v1-abstract-short" style="display: inline;"> Multiphase flow is a critical process in a wide range of applications, including carbon sequestration, contaminant remediation, and groundwater management. Typically, this process is modeled by a nonlinear system of partial differential equations derived by considering the mass conservation of each phase (e.g., oil, water), along with constitutive laws for the relationship of phase velocity to pha… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1611.00127v1-abstract-full').style.display = 'inline'; document.getElementById('1611.00127v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1611.00127v1-abstract-full" style="display: none;"> Multiphase flow is a critical process in a wide range of applications, including carbon sequestration, contaminant remediation, and groundwater management. Typically, this process is modeled by a nonlinear system of partial differential equations derived by considering the mass conservation of each phase (e.g., oil, water), along with constitutive laws for the relationship of phase velocity to phase pressure. In this study, we develop and study efficient solution algorithms for solving the algebraic systems of equations derived from a fully coupled and time-implicit treatment of models of multiphase flow. We explore the performance of several preconditioners based on algebraic multigrid (AMG) for solving the linearized problem, including "black-box" AMG applied directly to the system, a new version of constrained pressure residual multigrid (CPR-AMG) preconditioning, and a new preconditioner derived using an approximate Schur complement arising from the block factorization of the Jacobian. We show that the new methods are the most robust with respect to problem character as determined by varying effects of capillary pressures, and we show that the block factorization preconditioner is both efficient and scales optimally with problem size. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1611.00127v1-abstract-full').style.display = 'none'; document.getElementById('1611.00127v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 November, 2016; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2016. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> LA-UR-16-28063 </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a 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