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The Intelligence Advanced Research Projects Activity Advanced Graph Intelligent Logical Computing Environment Program: Reinventing Computing Comput. Sci. Eng. (IF 2.1) Pub Date : 2024-02-15 William J. Harrod
New data-centric architectures optimized for knowledge discovery and analytics are urgently required. This article describes the Intelligence Advanced Research Projects Activity’s Advanced Graph Intelligent Logical Computing Environment program, the first step toward catalyzing a computing revolution by pioneering new hardware and software co-designs tailored for data handling and movement. The goal
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Mochi: A Case Study in Translational Computer Science for High-Performance Computing Data Management Comput. Sci. Eng. (IF 2.1) Pub Date : 2024-02-15 Philip Carns, Matthieu Dorier, Rob Latham, Robert B. Ross, Shane Snyder, Jerome Soumagne
High-performance computing (HPC) has become an indispensable tool for solving diverse problems in science and engineering. Harnessing the power of HPC is not just a matter of efficient computation, however; it also calls for the efficient management of vast quantities of scientific data. This presents daunting challenges: rapidly evolving storage technology has motivated a shift toward increasingly
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Challenges and Techniques for Reproducible Simulations Comput. Sci. Eng. (IF 2.1) Pub Date : 2024-02-15 Curran D. Muhlberger
Too often, reproducibility is unnecessarily sacrificed in new simulation codes. We explore some ways in which this happens and provide recommendations for reclaiming it. Experience shows that robust bitwise reproducibility on a fixed runtime platform is a desirable and achievable target. The variety of threats considered suggests that maintaining a reproducible simulator to this degree requires vigilance
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Discrete Wildfire Simulation Case Study Comput. Sci. Eng. (IF 2.1) Pub Date : 2024-02-15 Micah D. Schuster
Wildfire activity around the world has been increasing for the past several decades. This has led to increased frequency of wildfires and longer fire seasons. When a fire is detected, one of the most important considerations is where to allocate limited firefighting resources to best contain the fire and protect infrastructure and urban areas. This is where robust, high-resolution fire simulations
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Creating Continuous Integration Infrastructure for Software Development on DOE HPC Systems Comput. Sci. Eng. (IF 2.1) Pub Date : 2024-02-07 Ryan Adamson, Paul Bryant, Dave Montoya, Jeff Neel, Erik Palmer, Ray Powell, Ryan Prout, Peter Upton
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An Intuitive Tutorial to Gaussian Process Regression Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-12-14 Jie Wang
This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation flexibility and inherent capability to quantify uncertainty over predictions. The tutorial starts with explaining the basic concepts that a Gaussian process is built on, including multivariate normal distribution
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Adopting Software Engineering Concepts in Scientific Research: Insights from Physicists and Mathematicians Turned Consultants Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-11-06 Marc Thomas Schönborn
Physicists and mathematicians spend a fair amount of their research time developing software, as most modern calculations cannot be solved analytically and require numerical solutions. Despite this situation, researchers in these areas tend to place little importance on integrating formal software engineering concepts (SECs) into their projects. To investigate the potential benefits of SECs in scientific
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Computational Modeling of Ice Sheets and Glaciers Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Irina Tezaur, Josefin Ahlkrona, Matthew Hoffman, Mauro Perego
The four articles in this special section focus on the development and efficient implementation of numerical, computational, and data driven methods for reliable, next-generation ISMs, toward addressing some of these challenges. These articles span a variety of topics, ranging from mechanics based modeling of hydrofracture and ice calving, to novel, compatible finite-element discretizations, to data-driven
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Earth Virtualization Engines: A Technical Perspective Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas Schulthess, Thomas F. Stocker, John Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph Schär, Oliver Fuhrer, Bryan N. Lawrence
Participants of the Berlin Summit on Earth Virtualization Engines (EVEs) discussed ideas and concepts to improve our ability to cope with climate change. EVEs aim to provide interactive and accessible climate simulations and data for a wide range of users. They combine high-resolution physics-based models with machine learning techniques to improve the fidelity, efficiency, and interpretability of
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Managing Software Provenance to Enhance Reproducibility in Computational Research Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Akash Dhruv, Anshu Dubey
Scientific processes rely on software as an important tool for data acquisition, analysis, and discovery. Over the years, sustainable software development practices have made progress in being considered as an integral component of research. However, management of computation-based scientific studies is often left to individual researchers who design their computational experiments based on personal
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Simulation for All: The Atomic, Molecular, and Optical Science Gateway Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Kathryn R. Hamilton, Klaus Bartschat, Nicolas Douguet, Sudhakar V. Pamidighantam, Barry I. Schneider
The Atomic, Molecular, and Optical Sciences Gateway (AMOSGateway) enables novice and experienced users to utilize state-of-the-art software suites for tackling problems central to atomic, molecular, and optical science. This international collaboration provides a free platform and coordinated approach for computational research, allowing the community to produce new scientific results on an unprecedented
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Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Philip J. Guo
This article demonstrates how scientists and engineers can use modern artificial intelligence (AI) tools such as ChatGPT and GitHub Copilot to learn computer programming skills that are relevant to their jobs. It begins by summarizing common ways that AI tools can already help people learn programming in general and then presents six new opportunities catered to the needs of scientists and engineers:
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Exascale Was Not Inevitable; Neither Is What Comes Next Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Erik W. Draeger, Andrew Siegel
The long, steady advance of supercomputing capabilities historically makes it tempting to assume that similar future improvements are inevitable. In fact, the successful path to exascale systems was far from certain, requiring a shift to accelerator-based designs, an associated end-to-end rethinking of traditional computational approaches, and a fundamental change in how scientists collaborate and
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Building on Communities to Further Software Sustainability Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-30 Anne Fouilloux, Jean Iaquinta, Alok Kumar Gupta, Hamish Struthers, Oskar Landgren, Prashanth Dwarakanath, Tommi Bergman, Yanchun He
The Nordic e-Infrastructure Collaboration on Earth System Modeling Tools is a small community comprising members with diverse backgrounds, skills, and interests. Largely dependent on temporary staff to develop, operate, and maintain large scientific codes, this community devised strategies to enhance software reusability and sustainability. These strategies include collaborating with other communities
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A Finite-Element-Based Cohesive Zone Model of Water-Filled Surface Crevasse Propagation in Floating Ice Tongues Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-10-04 Yuxiang Gao, Gourab Ghosh, Stephen Jiménez, Ravindra Duddu
We present a finite-element-based cohesive zone model for simulating the nonlinear fracture process driving the propagation of water-filled surface crevasses in floating ice tongues. The fracture process is captured using an interface element whose constitutive behavior is described by a bilinear cohesive law, and the bulk rheology of ice is described by a nonlinear elasto-viscoplastic model. The additional
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A Python Multiprocessing Approach for Fast Geostatistical Simulations of Subglacial Topography Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-09-22 Nathan W. Schoedl, Emma J. MacKie, Michael J. Field, Eric A. Stubbs, Allan Zhang, Matthew Hibbs, Mathieu Gravey
Realistically rough stochastic realizations of subglacial bed topography are crucial for improving our understanding of basal processes and quantifying uncertainty in sea level rise projections with respect to topographic uncertainty. This can be achieved with sequential Gaussian simulation (SGS), which is used to generate multiple nonunique realizations of geological phenomena that sample the uncertainty
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Science Gateways: Accelerating Research and Education—Part II Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-25 Patrick Diehl, Rafael Ferreira da Silva
Science gateways are essential for connecting researchers with advanced cyber infrastructure resources. These user-friendly interfaces simplify resource access and utilization, enabling scientists from diverse fields to leverage computational resources, data collections, analytical tools, and remote instruments. By democratizing access and streamlining the complex process, science gateways empower
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The 2023 Society for Industrial and Applied Mathematics Conference on Computational Science and Engineering Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-25 Damian Rouson, Konrad Hinsen, Jeffrey Carver, Irina Tezaur, John Shalf, Rio Yokota, Anshu Dubey
This note gives highlights and key takeaways from Computing in Science & Engineering editors who attended the 2023 Society for Industrial and Applied Mathematics Conference on Computational Science and Engineering. The editors discuss themes such as the benefits of returning to in-person conferences, progress in scientific software development and adoption, domain-specific languages, machine learning
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Leverage Biology to Learn Rapidly From Mistakes Without Feeling Like a Failure Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-25 Lauren E. Margulieux, James Prather, Masoumeh Rahimi, Gozde Cetin Uzun
Our biology affects how we interact with the world, including how we learn new knowledge and respond to challenges. This article explores the impact of neurochemicals in our brain on learning and explains how to leverage our biology to improve education and problem solving, focusing on computing education. Within this context, the article particularly examines the role of failure while learning. Learning
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Reflecting on the Scalable Adaptive Graphics Environment Team’s 20-Year Translational Research Endeavor in Digital Collaboration Tools Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-25 Mahdi Belcaid, Jason Leigh, Ryan Theriot, Nurit Kirshenbaum, Roderick Tabalba, Michael Rogers, Andrew Johnson, Maxine Brown, Luc Renambot, Lance Long, Arthur Nishimoto, Chris North, Jesse Harden
Translational software research bridges the gap between scientific innovations and practical applications, driving impactful societal advancements. However, developing such software is challenging due to interdisciplinary collaboration, technology adoption, and postfunding sustainability. This article presents the experiences and insights of the Scalable Adaptive Graphics Environment (SAGE) team, which
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Data Visualization for Digital Twins Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-25 João L. D. Comba, Nicolau O. Santos, Jonathan C. Rivera, Regis K. Romeu, Mara Abel
Visualization techniques are useful in the analysis and insight generation for applications in computing in science and engineering. In this article, we describe the importance of visualization to a digital twin (DT), a virtual representation of a physical object, process or system that can be applied for different tasks, such as data-driven simulation, analysis or monitoring. We illustrate tasks in
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Lattice Gas Cellular Automata Fluid Dynamics: The Model of Frisch, Hasslacher, and Pomeau Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-25 Micah D. Schuster
In the November 2020 “Your Homework Assignment” column in Computing in Science & Engineering, the reader was introduced to the cellular automata fluid model of Hardy, Pomeau, and de Pazzis. Although their model captures the microscopic behavior of particles, the square grid restricts the possible interactions such that the model cannot reproduce the Navier–Stokes equations in the continuous limit.
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Compatible Finite Elements for Glacier Modeling Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-17 Douglas J. Brinkerhoff
Described in this article is the first application of two mixed finite-element methods to the equations of glacier evolution under different simplifying assumptions, along with a framework for the implicit solution of the coupled velocity-thickness equations. The first method uses Raviart–Thomas elements for velocity and piecewise constants for thickness and is a reframing of a classic staggered-grid
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Science Gateways: Accelerating Research and Education—Part I Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-07-31 Patrick Diehl, Rafael Ferreira da Silva
Most scientific fields have seen a remarkable increase in the use of computational and data-driven research, including physics, chemistry, biology, and astronomy. However, many researchers who lack specialized training in computer science or high-performance computing (HPC) face difficulties in accessing and effectively utilizing these resources. A science gateway serves as a crucial connection point
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Examples of Long-Term Science–Industry Partnerships for Translational Computer Science Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-07-31 Cornelia Travnicek, Veronika Nowak, Rudolf Ramler, Lukas Fischer, Katja Bühler
Although not labeled as such, the three research centers presented in this article have been performing translational computer science (TCS) for more than 20 years. SBA Research, Software Competence Center Hagenberg, and VRVis Zentrum fuer Virtual Reality und Visualisierung, all funded by the Austrian COMET Competence Centers for Excellent Technologies program, each selected one science–industry partnership
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Diversity, Equity, and Inclusion for Computer and Information Science and Engineering Conferences: How Change Happens and Four Things You Can Do Now Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-07-31 Raquell Holmes, Roscoe Giles, Dorian Arnold
The revitalized interest in ensuring that computer and information science and engineering (CISE) is a fair and equitable professional path is one of our grandest opportunities. As professionals who have championed diversity, equity, and inclusion over decades, we are pleased to offer four actions that you, our colleagues, can take to help. In this article, we spotlight the opportunities that exist
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The Nature of Computational Models Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-07-31 Konrad Hinsen
Computational models lie at the heart of computational science, yet few scientists have a clear idea of what a computational model actually is. Is it software? Or an algorithm? How does it relate to mathematical models? What are suitable languages or notations for expressing a computational model in the literature? And will AI make computational models obsolete?
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Numerical Modeling of Neutron Stars Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-07-31 Omair M. Zubairi, Micah D. Schuster
After a star has exhausted all of its fuel by the process of nuclear fusion, it will collapse into a compact object. The three known stellar remnants of the universe are white dwarfs, neutron stars, and black holes. These three objects are characterized by their small size and extremely high densities. To model these compact objects, we must first understand their stellar structure. In this learning
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Statistical Generation of Ocean Forcing With Spatiotemporal Variability for Ice Sheet Models Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-08-01 Shivaprakash Muruganandham, Alexander A. Robel, Matthew J. Hoffman, Stephen F. Price
Melting of ice at the base of floating ice shelves that fringe the Antarctic ice sheet has been identified as a significant source of uncertainty in sea level rise projections. Part of this uncertainty derives from chaotic internal variability of the coupled ocean-atmosphere system. For numerical ice sheet model projections, this uncertainty has not previously been quantified because of the prohibitive
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Using Science Education Gateways to Improve Undergraduate STEM Education: The QUBES Platform as a Case Study Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-07-10 Sam Donovan, M. Drew LaMar
The Quantitative Undergraduate Biology Education and Synthesis (QUBES) platform was conceived as a “science education gateway” and designed to accelerate innovation in undergraduate science, technology, engineering, and mathematics (STEM) education. The technical infrastructure was purpose built to provide more equitable access to professional resources, support learning that reflects authentic science
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The D4Science Experience on Virtual Research Environment Development Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-27 Leonardo Candela, Donatella Castelli, Pasquale Pagano
Today, complex research challenges, often based on the analysis of a large amount of data, require multidisciplinary collaboration as well as appropriate communication and sharing of data, processes, and outcomes. Technologies and large-scale infrastructures provide stakeholders with computing capacity and data services to perform unprecedented levels of data-driven scientific activities. This opens
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Hubzero: Community Growth for Four Science Gateways Supporting Open Science Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-16 Sandra Gesing, Claire Stirm, Gerhard Klimeck, Lynn Zentner, Su Wang, Braulio M. Villegas-Martinez, Hector M. Moya-Cessa, Carrie Diaz Eaton, Sam Donovan, Carol Song, Lan Zhao, I Luk Kim, Alejandro Strachan, Michael Zentner, Rajesh Kalyanam
The research landscape has become increasingly interdisciplinary and complex with novel hardware, software, data, and lab instruments. The reproducibility of research results, usability of tools, and sharing of methods are all crucial for timely collaboration for research and teaching. Hubzero is a widely used science gateway framework designed to support online communities with efficient sharing and
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Destination Earth: High-Performance Computing for Weather and Climate Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-06 Nils Wedi, Peter Bauer, Irina Sandu, Jörn Hoffmann, Sophia Sheridan, Rafael Cereceda, Tiago Quintino, Daniel Thiemert, Thomas Geenen
Destination Earth is the first grand effort to define and deploy digital twins of the Earth system. The European Commission is making this important, multiyear investment to develop this new type of information system, blending the physical and digital worlds. The scale of computational resources and data flows is unprecedented, and so are the challenges and the opportunities. Digital twins of Earth
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Agent-Based Modeling of Traffic Systems Using Modelica Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-06 Victorino Sanz, Alfonso Urquia
A microsimulation model of traffic described using the Modelica language in combination with the Modelica libraries developed by the authors, ABMLib and CellularAutomataLib2, is presented. Modelica facilitates the description of equation-based models using the physical modeling paradigm, and its combination with the discrete-event and agent-based modeling functionality of the developed libraries constitutes
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Overcoming Challenges to Continuous Integration in HPC Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-06 Todd Gamblin, Daniel S. Katz
Continuous integration (CI) has become a ubiquitous practice in modern software development, with major code hosting services offering free automation on popular platforms. CI offers major benefits, as it enables detecting bugs in code prior to committing changes. While high-performance computing (HPC) research relies heavily on software, HPC machines are not considered “common” platforms. This presents
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FluoRender Script: A Case Study of Lingua Franca in Translational Computer Science Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-06 Yong Wan, Holly A. Holman, Charles Hansen
FluoRender is a software program used for the visualization and analysis of 3-D biological image data, particularly from fluorescence microscopy. We examine FluoRender’s script system to demonstrate its translation process. In this article, we borrow the concept of lingua franca from linguistics. We designed a connecting language between the source and target domains for translation, thereby augmenting
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Quantum Computing and High-Performance Computing: Compilation Stack Similarities Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-06 Sonia Lopez Alarcon, Anne C. Elster
There is a great deal of focus on how quantum computing as an accelerator differs from other traditional high-performance computing (HPC) resources, including accelerators like GPUs and field-programmable gate arrays. In classical computing, how to design the interfaces that connect the different layers of the software stack, from the applications and high-level programming language description, through
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Good Practices for High-Quality Scientific Computing Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-06-06 Anshu Dubey
Experimental and observational sciences have developed robust practices for conducting experiments, maintaining their instruments, and record keeping for provenance. Computational science has only recently begun to confront the issue of quality of their instrument, the software, and the credibility of their scientific output. Most of the available literature in software engineering relates to enterprise
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A Data Space for Climate Science in the European Open Science Cloud Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-17 Donatello Elia, Fabrizio Antonio, Sandro Fiore, Paola Nassisi, Giovanni Aloisio
The increasing volume of data in many scientific fields demands a transformative approach to data management and analysis. The data space concept, i.e., a digital ecosystem promoting sustainable and findability, accessibility, interoperability, and reusability data use, has emerged to address key challenges. This article introduces the European Network for Earth System Modelling Data Space, a domain-specific
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The Pulsar Science Collaboratory: Exploring Pulsars Through a Science Gateway Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-17 Maura McLaughlin, Nicholas Kisseberth, Sue Ann Heatherly, Harsha Blumer, Timothy Olszanski, Claire Stirm, Jack A. Smith, Duncan Lorimer
The Pulsar Science Collaboratory (PSC) is a research project engaging high school students, teachers, and undergraduates in searching for pulsars in data collected using radio telescopes. The goals are to stimulate student interest in science, technology, engineering, and mathematics careers; prepare teachers to implement authentic research with students by training them within a professional scientific
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Special Issue on the Future of Research Software Engineers in the United States—Part I Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Jeffrey C. Carver, Nasir Eisty, Hai Ah Nam, Irina Tezaur
This is part one of a two-part special issue focused on research software engineers (RSEs) in the United States. RSEs are members of the research software ecosystem who have knowledge, expertise, and interest in developing the high-quality software that is integral to advancing the frontiers of research across various scientific, engineering, humanities, and other domains. The people in the RSE role
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Emerging Trends in Machine Learning for Computational Fluid Dynamics Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Ricardo Vinuesa, Steven L. Brunton
The renewed interest from the scientific community in machine learning (ML) is opening many new areas of research. Here we focus on trends in ML that are providing opportunities to advance the field of computational fluid dynamics (CFD). We discuss synergies between ML and CFD that have already shown benefits, and we also assess areas that are under development and may produce important benefits in
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OpenACC Acceleration of an Agent-Based Biological Simulation Framework Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran
Computational biology has increasingly turned to agent-based modeling to explore complex biological systems. Biological diffusion (diffusion, decay, secretion, and uptake) is a key driver of biological tissues. GPU computing can vastly accelerate the diffusion and decay operators in the partial differential equations used to represent biological transport in an agent-based biological modeling system
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Translating High-Performance Computing Tools From Research to Practice: Experiences With the TAU Performance System Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Allen D. Malony, Sameer S. Shende
The field of high-performance computing (HPC) has always challenged the research community to design and develop performance observation technology (based on instrumentation, measurement, and analysis methods), keeping pace with the rapid and aggressive evolution of HPC systems’ hardware and software. While the scope of observational concerns is broad and complex, it is the HPC innovation flux that
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Hybrid Models That Combine Machine Learning and Simulations Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Philippe J. Giabbanelli
Simulation experts are now well acquainted with machine learning (ML) techniques, using them to find patterns in data that can later be turned into rules of a simulation or enabling their simulated entities to adapt and learn. In the other direction, ML experts occasionally make use of simulated data to create controlled experiments in which learning algorithms can be evaluated. In this article, we
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PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Srinath Kailasa, Tingyu Wang, Lorena A. Barba, Timo Betcke
Numba is a game-changing compiler for high-performance computing with Python. It produces machine code that runs outside of the single-threaded Python interpreter, and that fully utilizes the resources of modern CPUs. This means support for parallel multithreading and auto-vectorization if available, as with compiled languages such as C++ or Fortran. In this article, we document our experience developing
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The Characteristics of Influencers and Opinion Leaders of Science Gateways and Cyberinfrastructure for Innovation Diffusion Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-16 Alex Olshansky, Cassandra Hayes, Kerk F. Kee
To maximize national investments in science gateways (SGs) and cyberinfrastructure (CI), understanding and harnessing the factors that enable user adoption are critically valuable. In this article, we discuss how the social science concepts of influencers and opinion leaders apply in SG/CI domains and help drive user adoption. We identify three key aspects of influencers based on a systematic analysis
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VisDict: Improving Communication Via a Visual Dictionary in a Science Gateway Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-12 Sandra Gesing, Ewa Deelman, Michael Hildreth, Ramandeep Makhija, Mary Ann McDowell, Natalie K. Meyers, Douglas Thain
Effective communication is vital for academic project success, particularly in multidisciplinary teams with diverse backgrounds and disciplines. Misunderstandings can arise from differing interpretations of terms, which may go unnoticed. VisDict aims to bridge this gap by creating a visual dictionary within a science gateway to facilitate clear communication between workflow providers and domain researchers
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Science Gateways and the Humanities: An Exploratory Study of Their Rare Partnership Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-05-09 Kerk F. Kee, Cassandra Hayes, Sandra Gesing, Annelie Rugg, Shannon Bradley, Steven R. Brandt, Natalie K. Meyers, Richard P. Johnson, Quinn Dombrowski
Researchers and educators in humanities such as computational linguists, digital humanists, and those doing historical reconstructions are increasingly heavy users of computational and/or data resources. Many know about activities, working groups, and initiatives around the findable, accessible, interoperable, reusable (FAIR) principles and are a driving force for improving the sharing of data and
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Scalable Scientific Interactive Research Computing With Project Scinco Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-04-18 Joe Stubbs, Anagha Jamthe, Nathan Freeman, Mike Packard, Gilbert Curbelo, Cody Hammock
Interactive computing with Jupyter Notebooks has transformed the state of the art of scientific research computing. Users can perform a multitude of computational tasks in real time, including data cleansing, analysis, visualization, and postprocessing, with Jupyter Notebooks. Additionally, the ability to write and execute code and include supporting text and images in the same document has made it
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The Princeton University Research Software Engineering Group Model: Operational and Organizational Approaches Comput. Sci. Eng. (IF 2.1) Pub Date : 2023-04-03 Ian A. Cosden
The Princeton Research Software Engineering Group has grown rapidly since its inception in late 2016. The group is housed in the central Research Computing Department, comprises professional research software engineers (RSEs), and works directly with researchers to create high-quality research software. As the group has matured, so has the need for formalizing operational details and procedures. The