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ORCIDMichela Taufer
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- affiliation: University of Tennesee, Knoxville, Knoxville, TN, USA
- affiliation: University of Delaware, USA
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2020 – today
- 2025
[j54]Stefano Markidis, Michela Taufer, Lucio Grandinetti:
Special Collection on Advances in Quantum Computing: Methods, Algorithms, and Systems. Future Gener. Comput. Syst. 163: 107503 (2025)- 2024
- [j53]Michela Taufer
, Daniel Milroy, Todd Gamblin, Andrew Jones, Bill Magro, Heidi Poxon, Seetharami R. Seelam:
HPC and Cloud Convergence Beyond Technical Boundaries: Strategies for Economic Sustainability, Standardization, and Data Accessibility. Computer 57(6): 128-136 (2024) - [j52]Michela Taufer:
Recognition of best paper, outstanding editors, and outstanding reviewers for Future Generation Computer Systems in 2023. Future Gener. Comput. Syst. 155: 463-464 (2024) - [j51]Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. IEEE Trans. Vis. Comput. Graph. 30(9): 6572-6585 (2024) - [c133]Ian Lumsden, Hariharan Devarajan, Jack Marquez, Stephanie Brink, David Böhme, Olga Pearce, Jae-Seung Yeom, Michela Taufer:
Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems. IPDPS (Workshops) 2024: 543-553 - [c132]Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae:
Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results. Middleware 2024: 392-403 - [c131]Hariharan Devarajan, Ian Lumsden, Chen Wang, Konstantia Georgouli, Tom Scogland, Jae-Seung Yeom, Michela Taufer:
DYAD: Locality-aware Data Management for accelerating Deep Learning Training. SBAC-PAD 2024: 13-24 - [c130]Michela Taufer, Heberth F. Martinez, Aashish Panta, Paula Olaya, Jack Marquez, Amy Gooch, Giorgio Scorzelli, Valerio Pascucci:
Leveraging National Science Data Fabric Services to Train Data Scientists. SC Workshops 2024: 355-362 - [c129]Olga Pearce, Jason Burmark, Rich Hornung, Befikir Bogale, Ian Lumsden, Michael McKinsey, Dewi Yokelson, David Böhme, Stephanie Brink, Michela Taufer, Tom Scogland:
RAJA Performance Suite: Performance Portability Analysis with Caliper and Thicket. SC Workshops 2024: 1206-1218 - [i14]Michela Taufer, Valerio Pascucci, Christine R. Kirkpatrick, Ian T. Foster:
Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future. CoRR abs/2408.14627 (2024) - 2023
- [j50]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Performance assessment of ensembles of in situ workflows under resource constraints. Concurr. Comput. Pract. Exp. 35(20) (2023) - [j49]Michela Taufer, Heberth F. Martinez, Jakob Lüttgau, Lauren Whitnah, Giorgio Scorzelli, Pania Newell, Aashish Panta, Peer-Timo Bremer, Douglas Fils, Christine R. Kirkpatrick, Valerio Pascucci:
Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric. Comput. Sci. Eng. 25(5): 39-47 (2023) - [j48]Chaitanya Afle, Patrick R. Miles, Silvina Caíno-Lores, Collin D. Capano, Ingo Tews, Karan Vahi, Ewa Deelman, Michela Taufer, Duncan A. Brown:
Reproducing the Results for Neutron Star Interior Composition Explorer Observation of PSR J0030 + 0451. Comput. Sci. Eng. 25(6): 16-26 (2023) - [j47]Michela Taufer:
Recognition of Outstanding Future Generation Computer Systems Reviewers for 2022. Future Gener. Comput. Syst. 143: 420-421 (2023) - [j46]Naweiluo Zhou, Giorgio Scorzelli, Jakob Lüttgau, Rahul R. Kancharla, Joshua J. Kane, Robert Wheeler, Brendan P. Croom, Pania Newell, Valerio Pascucci, Michela Taufer:
Orchestration of materials science workflows for heterogeneous resources at large scale. Int. J. High Perform. Comput. Appl. 37(3-4): 260-271 (2023) - [j45]Sanjukta Bhowmick, Patrick Bell, Michela Taufer:
A Survey of Graph Comparison Methods with Applications to Nondeterminism in High-Performance Computing. Int. J. High Perform. Comput. Appl. 37(3-4): 306-327 (2023) - [j44]Paula Olaya, Dominic Kennedy, Ricardo M. Llamas, Leobardo Valera, Rodrigo Vargas, Jay F. Lofstead, Michela Taufer:
Building Trust in Earth Science Findings through Data Traceability and Results Explainability. IEEE Trans. Parallel Distributed Syst. 34(2): 704-717 (2023) - [c128]Paula Olaya, Jakob Lüttgau, Camila Roa, Ricardo M. Llamas, Rodrigo Vargas, Sophia Wen, I-Hsin Chung, Seetharami R. Seelam, Yoonho Park, Jay F. Lofstead, Michela Taufer:
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. CLOUD 2023: 383-393 - [c127]Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer:
VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. CLUSTER Workshops 2023: 50-51 - [c126]Nigel Tan, Scott V. Luedtke, Michela Taufer, Brian J. Albright:
Efficient Particle Tracing for Scalable Kinetic Plasma Simulation Analysis. CLUSTER Workshops 2023: 54-55 - [c125]Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations. e-Science 2023: 1-10 - [c124]Jakob Lüttgau, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
Development of Large-Scale Scientific Cyberinfrastructure and the Growing Opportunity to Democratize Access to Platforms and Data. HCI (26) 2023: 378-389 - [c123]Stephanie Brink, Michael McKinsey, David Böhme, Connor Scully-Allison, Ian Lumsden, W. Daryl Hawkins, Treece Burgess, Vanessa Lama, Jakob Lüttgau, Katherine E. Isaacs, Michela Taufer, Olga Pearce:
Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. HPDC 2023: 281-293 - [c122]Camila Roa, Paula Olaya, Ricardo M. Llamas, Rodrigo Vargas, Michela Taufer:
GEOtiled: A Scalable Workflow for Generating Large Datasets of High-Resolution Terrain Parameters. HPDC 2023: 311-312 - [c121]Jakob Lüttgau, Heberth F. Martinez, Glenn Tarcea, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
Studying Latency and Throughput Constraints for Geo-Distributed Data in the National Science Data Fabric. HPDC 2023: 325-326 - [c120]Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer:
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification. ICPP 2023: 1 - [c119]Nigel Tan, Jakob Lüttgau, Jack Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae:
Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication. ICPP 2023: 665-674 - [c118]Silvina Caíno-Lores, Michel A. Cuendet, Jack Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer:
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables. PASC 2023: 21:1-21:11 - [c117]Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal:
EduHPC Lightning Talk Summary. SC Workshops 2023: 374-378 - [c116]Jakob Lüttgau, Heberth F. Martinez, Paula Olaya, Giorgio Scorzelli, Glenn Tarcea, Jay F. Lofstead, Christine R. Kirkpatrick, Valerio Pascucci, Michela Taufer:
NSDF-Services: Integrating Networking, Storage, and Computing Services into a Testbed for Democratization of Data Delivery. UCC 2023: 11 - [c115]Camila Roa, Mats Rynge, Paula Olaya, Karan Vahi, Todd Miller, James Griffioen, Shelley Knuth, John Goodhue, Dávid Hudák, Alana Romanella, Ricardo M. Llamas, Rodrigo Vargas, Miron Livny, Ewa Deelman, Michela Taufer:
End-to-end Integration of Scientific Workflows on Distributed Cyberinfrastructures: Challenges and Lessons Learned with an Earth Science Application. UCC 2023: 17 - [i13]Chaitanya Afle, Patrick R. Miles, Silvina Caíno-Lores, Collin D. Capano, Ingo Tews, Karan Vahi, Ewa Deelman, Michela Taufer, Duncan A. Brown:
Reproducing the results for NICER observation of PSR J0030+0451. CoRR abs/2304.01035 (2023) - 2022
- [j43]Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Karan Vahi, Duncan A. Brown, Ewa Deelman, Michela Taufer:
Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration. Comput. Sci. Eng. 24(5): 42-52 (2022) - [j42]Stephen Herbein, Tapasya Patki, Dong H. Ahn, Sebastian Mobo, Clark Hathaway, Silvina Caíno-Lores, James Corbett, David Domyancic, Thomas R. W. Scogland, Bronis R. de Supinski, Michela Taufer:
An analytical performance model of generalized hierarchical scheduling. Int. J. High Perform. Comput. Appl. 36(3): 289-306 (2022) - [j41]Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Michela Taufer:
AI4IO: A suite of AI-based tools for IO-aware scheduling. Int. J. High Perform. Comput. Appl. 36(3): 370-387 (2022) - [j40]Nigel Tan, Robert F. Bird, Guangye Chen, Scott V. Luedtke, Brian J. Albright, Michela Taufer:
Analysis of Vector Particle-In-Cell (VPIC) memory usage optimizations on cutting-edge computer architectures. J. Comput. Sci. 60: 101566 (2022) - [j39]Ricardo M. Llamas, Leobardo Valera, Paula Olaya, Michela Taufer, Rodrigo Vargas:
Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework. Remote. Sens. 14(13): 3137 (2022) - [j38]Robert F. Bird, Nigel Tan, Scott V. Luedtke, Stephen Lien Harrell, Michela Taufer, Brian J. Albright:
VPIC 2.0: Next Generation Particle-in-Cell Simulations. IEEE Trans. Parallel Distributed Syst. 33(4): 952-963 (2022) - [j37]Ariel Keller Rorabaugh, Silvina Caíno-Lores, Travis Johnston, Michela Taufer:
Building High-Throughput Neural Architecture Search Workflows via a Decoupled Fitness Prediction Engine. IEEE Trans. Parallel Distributed Syst. 33(11): 2913-2926 (2022) - [c114]Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer:
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns. e-Science 2022: 21-31 - [c113]Ian Lumsden, Jakob Lüttgau, Vanessa Lama, Connor Scully-Allison, Stephanie Brink, Katherine E. Isaacs, Olga Pearce, Michela Taufer:
Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. e-Science 2022: 256-266 - [c112]Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer:
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets. e-Science 2022: 389-390 - [c111]Dominic Kennedy, Paula Olaya, Jay F. Lofstead, Rodrigo Vargas, Michela Taufer:
Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance. e-Science 2022: 403-404 - [c110]Glenn Tarcea, Brian Puchala, Tracy Berman, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer, John Allison:
The Materials Commons Data Repository. e-Science 2022: 405-406 - [c109]Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer:
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. e-Science 2022: 421-422 - [c108]Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer:
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling. e-Science 2022: 450-455 - [c107]Paula Olaya, Jakob Lüttgau, Naweiluo Zhou, Jay F. Lofstead, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
NSDF-FUSE: A Testbed for Studying Object Storage via FUSE File Systems. HPDC 2022: 277-278 - [c106]Jakob Lüttgau, Paula Olaya, Naweiluo Zhou, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
NSDF-Cloud: Enabling Ad-Hoc Compute Clusters Across Academic and Commercial Clouds. HPDC 2022: 279-280 - [c105]Patrick Bell, Kae Suarez, Barbara Fossum, Dylan Chapp, Sanjukta Bhowmick, Michela Taufer:
A Research-Based Course Module to Study Non-determinism in High Performance Applications. IPDPS Workshops 2022: 346-353 - [c104]Jakob Lüttgau, Giorgio Scorzelli, Valerio Pascucci, Glenn Tarcea, Christine R. Kirkpatrick, Michela Taufer:
NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery. UCC 2022: 1-10 - [c103]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Frédéric Suter, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Co-scheduling Ensembles of In Situ Workflows. WORKS@SC 2022: 43-51 - [d1]Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman:
Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger. IEEE DataPort, 2022
- [i12]Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. CoRR abs/2205.04557 (2022) - [i11]Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Duncan A. Brown, Ewa Deelman, Michela Taufer:
Reproducibility of the First Image of a Black Hole in the Galaxy M87 from the Event Horizon Telescope (EHT) Collaboration. CoRR abs/2205.10267 (2022) - [i10]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Frédéric Suter, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Co-scheduling Ensembles of In Situ Workflows. CoRR abs/2208.09190 (2022) - 2021
- [j36]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. Comput. Sci. Eng. 23(2): 73-82 (2021) - [j35]Tu Mai Anh Do, Loïc Pottier, Silvina Caíno-Lores, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman:
A lightweight method for evaluating in situ workflow efficiency. J. Comput. Sci. 48: 101259 (2021) - [j34]Patrick Bell, Kae Suarez, Dylan Chapp, Nigel Tan, Sanjukta Bhowmick, Michela Taufer:
ANACIN-X: A software framework for studying non-determinism in MPI applications. Softw. Impacts 10: 100151 (2021) - [j33]Hector Carrillo-Cabada, Jeremy Benson, Asghar M. Razavi, Brianna Mulligan, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada:
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1336-1349 (2021) - [j32]Dylan Chapp, Nigel Tan, Sanjukta Bhowmick, Michela Taufer:
Identifying Degree and Sources of Non-Determinism in MPI Applications Via Graph Kernels. IEEE Trans. Parallel Distributed Syst. 32(12): 2936-2952 (2021) - [c102]Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall, Miron Livny:
A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective. CLUSTER 2021: 807-808 - [c101]Michela Taufer, Ewa Deelman, Rafael Ferreira da Silva, Trilce Estrada, Mary W. Hall:
A Roadmap to Robust Science for High-throughput Applications: The Scientists' Perspective. e-Science 2021: 247-248 - [c100]Ross Ketron, Jacob Leonard, Brandan Roachell, Ria Patel, R. White, Silvina Caíno-Lores, Nigel Tan, Patrick R. Miles, Karan Vahi, Ewa Deelman, Duncan A. Brown, Michela Taufer:
A Case Study in Scientific Reproducibility from the Event Horizon Telescope (EHT). e-Science 2021: 249-250 - [c99]Michela Taufer:
AI4IO: A Suite of Ai-Based Tools for IO-Aware HPC Resource Management. HiPC 2021: 1 - [c98]Nigel Tan, Robert F. Bird, Guangye Chen, Michela Taufer:
Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations. ICCS (2) 2021: 452-465 - [c97]Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Assessing Resource Provisioning and Allocation of Ensembles of In Situ Workflows. ICPP Workshops 2021: 38:1-38:10 - [i9]Ariel Keller Rorabaugh, Silvina Caíno-Lores, Michael R. Wyatt II, Travis Johnston, Michela Taufer:
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. CoRR abs/2101.04185 (2021) - [i8]Robert F. Bird, Nigel Tan, Scott V. Luedtke, Stephen Lien Harrell, Michela Taufer, Brian J. Albright:
VPIC 2.0: Next Generation Particle-in-Cell Simulations. CoRR abs/2102.13133 (2021) - [i7]Mark Asch, François Bodin, Micah Beck, Terry Moore, Michela Taufer, Jean-Pierre Vilotte:
Cybercosm: New Foundations for a Converged Science Data Ecosystem. CoRR abs/2105.10680 (2021) - 2020
- [j31]Dong H. Ahn, Ned Bass, Albert Chu, Jim Garlick, Mark Grondona, Stephen Herbein, Helgi I. Ingólfsson, Joseph Koning, Tapasya Patki, Thomas R. W. Scogland, Becky Springmeyer, Michela Taufer:
Flux: Overcoming scheduling challenges for exascale workflows. Future Gener. Comput. Syst. 110: 202-213 (2020) - [j30]Ricardo M. Llamas, Mario Guevara, Danny Rorabaugh, Michela Taufer, Rodrigo Vargas:
Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression. Remote. Sens. 12(4): 665 (2020) - [j29]Dylan Chapp, Victoria Stodden, Michela Taufer:
Building a Vision for Reproducibility in the Cyberinfrastructure Ecosystem: Leveraging Community Efforts. Supercomput. Front. Innov. 7(1): 112-129 (2020) - [j28]Tao Gao, Yanfei Guo, Boyu Zhang, Pietro Cicotti, Yutong Lu, Pavan Balaji, Michela Taufer:
Memory-Efficient and Skew-Tolerant MapReduce Over MPI for Supercomputing Systems. IEEE Trans. Parallel Distributed Syst. 31(12): 2734-2748 (2020) - [c96]Tu Mai Anh Do, Loïc Pottier, Stephen Thomas, Rafael Ferreira da Silva, Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer, Ewa Deelman:
A Novel Metric to Evaluate In Situ Workflows. ICCS (1) 2020: 538-553 - [c95]Michael R. Wyatt II, Stephen Herbein, Kathleen Shoga, Todd Gamblin, Michela Taufer:
CanarIO: Sounding the Alarm on IO-Related Performance Degradation. IPDPS 2020: 73-83 - [c94]Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele:
Usability and Performance Improvements in Hatchet. HUST/ProTools@SC 2020: 49-58 - [i6]Paula Olaya, Jay F. Lofstead, Michela Taufer:
Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows. CoRR abs/2009.08495 (2020) - [i5]Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman:
Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger. CoRR abs/2010.07244 (2020)
2010 – 2019
- 2019
- [j27]Dylan Chapp, Danny Rorabaugh, Kento Sato, Dong H. Ahn, Michela Taufer:
A three-phase workflow for general and expressive representations of nondeterminism in HPC applications. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j26]Robert Searles, Stephen Herbein, Travis Johnston, Michela Taufer, Sunita Chandrasekaran:
Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications. Int. J. High Perform. Comput. Netw. 13(1): 105-118 (2019) - [c93]Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer:
SOMOSPIE: A Modular SOil MOisture SPatial Inference Engine Based on Data-Driven Decisions. eScience 2019: 1-10 - [c92]Michela Taufer, Ewa Deelman, Stephen Thomas, Michael R. Wyatt II, Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Harel Weinstein, Michel A. Cuendet, Trilce Estrada:
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers. eScience 2019: 188-198 - [c91]Dylan Chapp, Danny Rorabaugh, Duncan A. Brown, Ewa Deelman, Karan Vahi, Von Welch, Michela Taufer:
Applicability Study of the PRIMAD Model to LIGO Gravitational Wave Search Workflows. P-RECS@HPDC 2019: 1-6 - [c90]Ewa Deelman, Victoria Stodden, Michela Taufer, Von Welch:
Initial Thoughts on Cybersecurity And Reproducibility. P-RECS@HPDC 2019: 13-15 - [c89]Michela Taufer:
Session details: Reliability and Variability. HPDC 2019 - [c88]Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Heike Jagode, Anthony Danalis, Jack J. Dongarra, Pavan Balaji, Michela Taufer:
Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI. PARCO 2019: 287-298 - [e4]Michela Taufer, Pavan Balaji, Antonio J. Peña:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019, Denver, Colorado, USA, November 17-19, 2019. ACM 2019, ISBN 978-1-4503-6229-0 [contents] - [i4]Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Michela Taufer:
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures. CoRR abs/1903.11694 (2019) - [i3]Dylan Chapp, Danny Rorabaugh, Duncan A. Brown, Ewa Deelman, Karan Vahi, Von Welch, Michela Taufer:
Applicability study of the PRIMAD model to LIGO gravitational wave search workflows. CoRR abs/1904.05211 (2019) - [i2]Danny Rorabaugh, Mario Guevara, Ricardo M. Llamas, Joy Kitson, Rodrigo Vargas, Michela Taufer:
SOMOSPIE: A modular SOil MOisture SPatial Inference Engine based on data driven decision. CoRR abs/1904.07754 (2019) - 2018
- [j25]Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter:
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32(1): 159-175 (2018) - [j24]Dylan Chapp, Kento Sato, Dong H. Ahn, Michela Taufer:
Record-and-Replay Techniques for HPC Systems: A Survey. Supercomput. Front. Innov. 5(1): 11-30 (2018) - [c87]Trilce Estrada, Jeremy Benson, Hector Carrillo-Cabada, Asghar M. Razavi, Michel A. Cuendet, Harel Weinstein, Ewa Deelman, Michela Taufer:
Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis. BCB 2018: 315-324 - [c86]Sean McDaniel-Gray, David L. Boothe, Alfred B. Yu, Dale R. Shires, Michela Taufer:
Leveraging In Situ Data Analysis to Enable Computational Steering of Brain's Neocortex Simulations with GENESIS. HPCC/SmartCity/DSS 2018: 873-880 - [c85]Tao Gao, Yanfei Guo, Boyu Zhang, Pietro Cicotti, Yutong Lu, Pavan Balaji, Michela Taufer:
On the Power of Combiner Optimizations in MapReduce Over MPI Workflows. ICPADS 2018: 441-448 - [c84]Xinyu Chen, Jeremy Benson, Matt Peterson, Michela Taufer, Trilce Estrada:
KeyBin2: Distributed Clustering for Scalable and In-Situ Analysis. ICPP 2018: 34:1-34:10 - [c83]Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer:
PRIONN: Predicting Runtime and IO using Neural Networks. ICPP 2018: 46:1-46:12 - [c82]Michela Taufer:
Modeling the Next-Generation High Performance Schedulers. SIGSIM-PADS 2018: 1 - 2017
- [j23]Michela Taufer, Arnold L. Rosenberg:
Scheduling DAG-based workflows on single cloud instances: High-performance and cost effectiveness with a static scheduler. Int. J. High Perform. Comput. Appl. 31(1): 19-31 (2017) - [j22]Travis Johnston, Boyu Zhang, Adam Liwo, Silvia Crivelli, Michela Taufer:
In situ data analytics and indexing of protein trajectories. J. Comput. Chem. 38(16): 1419-1430 (2017) - [j21]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Enabling scalable and accurate clustering of distributed ligand geometries on supercomputers. Parallel Comput. 63: 38-60 (2017) - [c81]