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ORCIDComputing in Science and Engineering, Volume 23
Volume 23, Number 1, January - February 2021
- Gabriel A. Wainer
, Konrad Hinsen, Kelly P. Gaither:
Computational Science in the Battle Against COVID-19 - Part II. 5-6 - Josh Vincent Vermaas, Ada Sedova, Matthew B. Baker, Swen Boehm, David M. Rogers, Jeff Larkin, Jens Glaser, Micholas Dean Smith, Oscar R. Hernandez, Jeremy C. Smith:
Supercomputing Pipelines Search for Therapeutics Against COVID-19. 7-16 - Andreas Tolk, Christopher Glazner, Joseph Ungerleider:
Computational Decision Support for the COVID-19 Healthcare Coalition. 17-24 - Kelly A. Pierce, Ethan Ho, Xutong Wang, Remy Pasco, Zhanwei Du, Greg Zynda, Jawon Song, Gordon Wells, Spencer J. Fox, Lauren Ancel Meyers:
Early COVID-19 Pandemic Modeling: Three Compartmental Model Case Studies From Texas, USA. 25-34 - Mariana Bergonzi, Ezequiel Pecker Marcosig, Ernesto Kofman, Rodrigo D. Castro:
Discrete-Time Modeling of COVID-19 Propagation in Argentina with Explicit Delays. 35-45 - Spencer Smith, Mojdeh Sayari Nejad, Alan Wassyng, Jeffrey C. Carver, Karla Morris:
Raising the Bar: Assurance Cases for Scientific Software. 47-57 - Lorena A. Barba, George K. Thiruvathukal:
Trustworthy Computational Evidence Through Transparency and Reproducibility. 58-64 - Sequoia Ploeg, Hyrum Gunther, Ryan M. Camacho:
Simphony: An Open-Source Photonic Integrated Circuit Simulation Framework. 65-74 - Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton:
Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case. 75-82 - Micah D. Schuster, Nargess Memarsadeghi:
Infection Modeling Case Study: Discrete Spatial Susceptible-Infected-Recovered Model. 83-88 - John West, Kathryn M. Mohror, John M. Shalf:
Large-Scale Scientific Computing in the Fight Against COVID-19. 89-92 - Andrea Mandanici, Salvatore Alessandro Sarà, Giacomo Fiumara, Giuseppe Mandaglio, Sharon Broude Geva, Dirk Colbry:
Studying Physics, Getting to Know Python: RC Circuit, Simple Experiments, Coding, and Data Analysis With Raspberry Pi. 93-96 - Lisa M. Frehill, Mary Ann E. Leung:
Twitter Gone Wrong: How Constructive Dialog and Collaboration Enable Innovation. 97-101 - Anne C. Elster, Volodymyr V. Kindratenko:
The European Factor: From ARM to Atos. 102-105 - Audrey Reinert, Luke S. Snyder, Jieqiong Zhao, Andrew S. Fox, Dean F. Hougen, Charles D. Nicholson, David S. Ebert:
Corrections to "Visual Analytics for Decision-Making During Pandemics". 106
Volume 23, Number 2, March - April 2021
- Hans Fangohr, Thomas Kluyver, Massimo DiPierro:
Jupyter in Computational Science. 5-6 - Brian E. Granger, Fernando Pérez:
Jupyter: Thinking and Storytelling With Code and Data. 7-14 - Stéphanie Juneau, Knut Olsen, Robert Nikutta, Alice Jacques, Stephen Bailey:
Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms. 15-25 - Ryan Abernathey, Tom Augspurger, Anderson Banihirwe, Charles C. Blackmon-Luca, Timothy J. Crone, Chelle L. Gentemann, Joseph Hamman, Naomi Henderson, Chiara Lepore, Theo A. McCaie, Niall H. Robinson, Richard P. Signell:
Cloud-Native Repositories for Big Scientific Data. 26-35 - Marijan Beg, Juliette Taka, Thomas Kluyver, Olexandr Konovalov, Min Ragan-Kelly, Nicolas M. Thiéry, Hans Fangohr:
Using Jupyter for Reproducible Scientific Workflows. 36-46 - Blaine H. M. Mooers:
A PyMOL Snippet Library for Jupyter to Boost Researcher Productivity. 47-53 - Aaron R. Watters:
Shader-Like Computations in WebGL for Advanced Graphics and General Purposes. 54-63 - Xuanyi Lin, Michelle Simon, Zedong Peng, Nan Niu, Jeff Carver, Karla Morris:
Discovering Metamorphic Relations for Scientific Software From User Forums. 65-72 - Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman, Lorena A. Barba, George K. Thiruvathukal:
Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger. 73-82 - Soumya Dutta, Terece L. Turton, James P. Ahrens:
A Confidence-Guided Technique for Tracking Time-Varying Features. 84-92 - Rollin C. Thomas, Shreyas Cholia, Kathryn M. Mohror, John M. Shalf:
Interactive Supercomputing With Jupyter. 93-98 - Jorge Piazentin Ono, Juliana Freire, Cláudio T. Silva, João Comba, Kelly P. Gaither:
Interactive Data Visualization in Jupyter Notebooks. 99-106 - Chiin-Rui Tan, Sharon Broude Geva, Dirk Colbry:
The Nascent Case for Adopting Jupyter Notebooks as a Pedagogical Tool for Interdisciplinary Humanities, Social Science, and Arts Education. 107-113 - Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, Laura Florescu, Sumti Jairath, William Liu, Tejas Nama, Arvind Sujeeth, Volodymyr V. Kindratenko, Anne C. Elster:
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. 114-119
Volume 23, Number 3, May - June 2021
- Lorena A. Barba:
The Python/Jupyter Ecosystem: Today's Problem-Solving Environment for Computational Science. 5-9 - John West, Paul A. Navrátil, Maytal Dahan, Matthew Vaughn:
Large Scale Science on NSF's Frontera System. 10-13 - Leigh Orf:
Modeling the World's Most Violent Thunderstorms. 14-24 - David E. DeMarle, Andrew C. Bauer:
In Situ Visualization With Temporal Caching. 25-33 - Stephen G. Yeager, Ping Chang, Gokhan Danabasoglu, James Edwards, Nan Rosenbloom, Qiuying Zhang, Dan Fu, Xue Liu, Fred Castruccio:
Bringing the Future Into Focus: Benefits and Challenges of High-Resolution Global Climate Change Simulations. 34-41 - John Cazes, Richard Todd Evans, Aaron Dubrow, Lei Huang, Si Liu, Robert T. McLay:
Preparing Frontera for Texascale Days. 42-47 - Ganesh Balasubramanian, Joydeep Munshi, Wei Chen, TeYu Chien:
Towards Improving the Efficiency of Organic Solar Cells by Coarse-Grained Atomistic Modeling of Processing Dependent Morphologies. 48-55 - William P. Reinhardt:
Relationships Between the Zeros, Weights, and Weight Functions of Orthogonal Polynomials: Derivative Rule Conjecture (the DRC) Applied to Stieltjes and Spectral Imaging. 56-64 - Willem A. Smit, Johan A. du Preez, Guy A. E. Vandenbosch:
Mobile Processor Energy Usage in the Scientific Environment. 65-72 - Patrick Diehl, Dominic Marcello, Parsa Amini, Hartmut Kaiser, Sagiv Shiber, Geoffrey C. Clayton, Juhan Frank, Gregor Daiß, Dirk Pflüger, David Eder, Alice Koniges, Kevin A. Huck:
Performance Measurements Within Asynchronous Task-Based Runtime Systems: A Double White Dwarf Merger as an Application. 73-81 - Mohammad Akhlaghi, Raúl Infante-Sainz, Boudewijn F. Roukema, Mohammadreza Khellat, David Valls-Gabaud, Roberto Baena Gallé, Lorena A. Barba, Sandra Gesing:
Toward Long-Term and Archivable Reproducibility. 82-91 - Anshu Dubey, Konrad Hinsen:
Insights From the Software Design of a Multiphysics Multicomponent Scientific Code. 92-95 - Ann E. Jeffers:
The COVID-19 Pandemic is Widening the Gap for Women in STEM. 96-98 - David S. Ebert, Audrey Reinert, Brian D. Fisher, João Comba, Kelly P. Gaither:
Visual Analytics Review: An Early and Continuing Success of Convergent Research With Impact. 99-108
Volume 23, Number 4, July - August 2021
- Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas:
Scientific Computing With Python on High-Performance Heterogeneous Systems. 5-7 - Jack D. Betteridge, Patrick E. Farrell, David A. Ham:
Code Generation for Productive, Portable, and Scalable Finite Element Simulation in Firedrake. 8-17 - Timo Betcke, Matthew W. Scroggs:
Designing a High-Performance Boundary Element Library With OpenCL and Numba. 18-28 - Freddie D. Witherden:
Python at Petascale With PyFR or: How I Learned to Stop Worrying and Love the Snake. 29-37 - John Bartlett, Chris Uchytil, Duane W. Storti:
High-Productivity Parallelism With Python Plus Packages (But Without a Cluster). 38-46 - Lisandro Dalcín, Yao-Lung L. Fang:
mpi4py: Status Update After 12 Years of Development. 47-54 - Zachary J. Weiner:
Stencil Solvers for PDEs on GPUs: An Example From Cosmology. 55-64 - Roberto Iacono:
Bounding the Error Function. 65-68 - Michael A. Heroux, Jeffrey C. Carver, Karla Morris:
The Collegeville Workshops on Scientific Software: Looking Back and Forward. 69-72 - Michael Bauer, Wonchan Lee, Manolis Papadakis, Marcin Zalewski, Michael Garland, Konrad Hinsen, Anshu Dubey:
Supercomputing in Python With Legate. 73-79 - Gabriel A. Wainer, Román Cárdenas, Kevin Henares, Cristina Ruiz Martin, Nargess Memarsadeghi:
Modeling and Simulation of Space-Based Pandemic Scenarios Using an Open-Source Platform. 80-84 - Cyrille Rossant, Nicolas P. Rougier, João Comba, Kelly P. Gaither:
High-Performance Interactive Scientific Visualization With Datoviz via the Vulkan Low-Level GPU API. 85-90 - William P. Reinhardt:
Erratum to "Relationships Between the Zeros, Weights, and Weight Functions of Orthogonal Polynomials: Derivative Rule Conjecture (the DRC) Applied to Stieltjes and Spectral Imaging". 91
Volume 23, Number 5, September - October 2021
- Manish Parashar, David Abramson:
Translational Computer Science for Science and Engineering. 5-6 - Douglas Doerfler, Steven Gottlieb, William Gropp, Barry I. Schneider, Alan Sussman:
Performance Portability for Advanced Architectures. 7-9 - Christian Trott, Luc Berger-Vergiat, David Poliakoff, Sivasankaran Rajamanickam, Damien Lebrun-Grandié, Jonathan R. Madsen, Nader Al Awar, Milos Gligoric, Galen M. Shipman, Geoff Womeldorff:
The Kokkos EcoSystem: Comprehensive Performance Portability for High Performance Computing. 10-18 - Patrick Schmitz, Scott Yockel, Claire Mizumoto, Thomas E. Cheatham, Dana Brunson:
Advancing the Workforce That Supports Computationally and Data Intensive Research. 19-27 - S. John Pennycook, Jason D. Sewall, Douglas Jacobsen, Tom Deakin, Simon McIntosh-Smith:
Navigating Performance, Portability, and Productivity. 28-38 - Michael Wolfe:
Performant, Portable, and Productive Parallel Programming With Standard Languages. 39-45 - Anshu Dubey, Lois Curfman McInnes, Rajeev Thakur, Erik W. Draeger, Thomas M. Evans, Timothy C. Germann, William E. Hart:
Performance Portability in the Exascale Computing Project: Exploration Through a Panel Series. 46-54 - Beth A. Plale, Tanu Malik, Line C. Pouchard, Lorena A. Barba, Sandra Gesing:
Reproducibility Practice in High-Performance Computing: Community Survey Results. 55-60 - Anshu Dubey, Martin Berzins, Carsten Burstedde, Michael L. Norman, Didem Unat, Mohamed Wahib:
Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity. 62-66 - Tessa Durham Brooks, Raychelle Burks, Mark M. Meysenburg, Erin L. Doyle, Chris Huber, Sharon Broude Geva, Dirk Colbry:
Building a Culture of Computing in the Sciences Using Images as Data Within a Community of Practice. 67-71
Volume 23, Number 6, November - December 2021
- Jaydeep P. Bardhan, Mary Ann E. Leung, Eileen Martin, Amanda Randles:
DOE Computational Science Graduate Fellowship Research Showcase. 5-8 - David L. Brown, James Hack, Robert Voigt:
The Early Years and Evolution of the DOE Computational Science Graduate Fellowship Program. 9-15 - Allison H. Baker:
On Preserving Scientific Integrity for Climate Model Data in the HPC Era. 16-24 - Julianne Chung:
Research in Inverse Problems and Training in Computational Science: A Reflection on the Importance of Community. 25-33 - Mala L. Radhakrishnan:
How to Model for a Living: The CSGF as a Catalyst for Supermodels. 34-41 - Eric C. Chi:
Discovering Geometry in Data Arrays. 42-51 - Jarrod R. McClean:
From Molecules to Quantum Computers: A Research Retrospective. 52-57 - Joseph Michael Barton:
High Performance Computing for Science and Engineering in the Department of Defense. 58-62 - Bradley W. Settlemyer, George Amvrosiadis, Philip H. Carns, Robert B. Ross, Kathryn M. Mohror, John M. Shalf:
It's Time to Talk About HPC Storage: Perspectives on the Past and Future. 63-68 - Mark C. Miller, Mary Ann E. Leung, Ann E. Jeffers:
Inclusivity Bugs and the Language We Use. 69-71 - Miriam Leeser, Suranga Handagala, Michael Zink, Volodymyr V. Kindratenko, Anne C. Elster:
FPGAs in the Cloud. 72-76 - Timothy G. Mattson, Todd A. Anderson, Giorgis Georgakoudis, Konrad Hinsen, Anshu Dubey:
PyOMP: Multithreaded Parallel Programming in Python. 77-80
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