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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
- 2023
[j44]Michela Taufer:
Recognition of Outstanding Future Generation Computer Systems Reviewers for 2022. Future Gener. Comput. Syst. 143: 420-421 (2023)- [j43]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) - 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) - [c113]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 - [c112]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 - [c111]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 - [c110]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 - [c109]Glenn Tarcea, Brian Puchala, Tracy Berman, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer, John Allison:
The Materials Commons Data Repository. e-Science 2022: 405-406 - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [c104]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 - [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, M. 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, M. 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, P. 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]Thomas Kitson, Paula Olaya, Elizabeth Racca, Michael R. Wyatt II, Mario Guevara, Rodrigo Vargas, Michela Taufer:
Data analytics for modeling soil moisture patterns across united states ecoclimatic domains. IEEE BigData 2017: 4768-4770 - [c80]Tao Gao, Yanfei Guo, Yanjie Wei, Bingqiang Wang, Yutong Lu, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Bloomfish: A Highly Scalable Distributed K-mer Counting Framework. ICPADS 2017: 170-179 - [c79]Tao Gao, Yanfei Guo, Boyu Zhang, Pietro Cicotti, Yutong Lu, Pavan Balaji, Michela Taufer:
Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems. IPDPS 2017: 1098-1108 - [e3]Julian M. Kunkel, Rio Yokota, Michela Taufer, John Shalf:
High Performance Computing - ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Frankfurt, Germany, June 18-22, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10524, Springer 2017, ISBN 978-3-319-67629-6 [contents] - 2016
- [j20]Stephen Herbein, Sean McDaniel, Norbert Podhorszki, Jeremy Logan, Scott Klasky, Michela Taufer:
Performance characterization of irregular I/O at the extreme scale. Parallel Comput. 51: 17-36 (2016) - [j19]Michela Taufer, Pavan Balaji, Satoshi Matsuoka:
Special Issue on Cluster Computing. Parallel Comput. 58: 25-26 (2016) - [c78]Michael R. Wyatt II, Travis Johnston, Mia Papas, Michela Taufer:
Development of a Scalable Method for Creating Food Groups Using the NHANES Dataset and MapReduce. BCB 2016: 118-127 - [c77]Ryan McKenna, Stephen Herbein, Adam Moody, Todd Gamblin, Michela Taufer:
Machine Learning Predictions of Runtime and IO Traffic on High-End Clusters. CLUSTER 2016: 255-258 - [c76]Michela Taufer:
Who is Afraid of I/O?: Exploring I/O Challenges and Opportunities at the Exascale. ScienceCloud@HPDC 2016: 1 - [c75]Stephen Herbein, Dong H. Ahn, Don Lipari, Thomas R. W. Scogland, Marc Stearman, Mark Grondona, Jim Garlick, Becky Springmeyer, Michela Taufer:
Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters. HPDC 2016: 69-80 - [c74]Sean McDaniel, David L. Boothe, Joshua C. Crone, Song Jun Park, Dale R. Shires, Alfred B. Yu, Michela Taufer:
Study of Neocortex Simulations with GENESIS on High Performance Computing Resources. ICPADS 2016: 924-931 - [c73]Travis Johnston, Connor Zanin, Michela Taufer:
HYPPO: A Hybrid, Piecewise Polynomial Modeling Technique for Non-Smooth Surfaces. SBAC-PAD 2016: 26-33 - [c72]Jeremy Benson, Trilce Estrada, Arnold L. Rosenberg, Michela Taufer:
Scheduling Matters: Area-Oriented Heuristic for Resource Management. SBAC-PAD 2016: 214-221 - [c71]Stephen Herbein, Ayush Dusia, Aaron Myles Landwehr, Sean McDaniel, José Monsalve Diaz, Yang Yang, Seetharami R. Seelam, Michela Taufer:
Resource Management for Running HPC Applications in Container Clouds. ISC 2016: 261-278 - [e2]Michela Taufer, Bernd Mohr, Julian M. Kunkel:
High Performance Computing - ISC High Performance 2016 International Workshops, ExaComm, E-MuCoCoS, HPC-IODC, IXPUG, IWOPH, P^3MA, VHPC, WOPSSS, Frankfurt, Germany, June 19-23, 2016, Revised Selected Papers. Lecture Notes in Computer Science 9945, 2016, ISBN 978-3-319-46078-9 [contents] - 2015
- [j18]Shuching Ou, Di Cui, Matthew Wezowicz, Michela Taufer, Sandeep Patel:
Free energetics of carbon nanotube association in aqueous inorganic NaI salt solutions: Temperature effects using all-atom molecular dynamics simulations. J. Comput. Chem. 36(16): 1196-1212 (2015) - [c70]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Pavan Balaji, Michela Taufer:
Accurate Scoring of Drug Conformations at the Extreme Scale. CCGRID 2015: 817-822 - [c69]Dylan Chapp, Travis Johnston, Michela Taufer:
On the Need for Reproducible Numerical Accuracy through Intelligent Runtime Selection of Reduction Algorithms at the Extreme Scale. CLUSTER 2015: 166-175 - [c68]Sean McDaniel, Stephen Herbein, Michela Taufer:
A Two-Tiered Approach to I/O Quality of Service in Docker Containers. CLUSTER 2015: 490-491 - [c67]Ayush Dusia, Yang Yang, Michela Taufer:
Network Quality of Service in Docker Containers. CLUSTER 2015: 527-528 - [c66]José Monsalve Diaz, Aaron Myles Landwehr, Michela Taufer:
Dynamic CPU Resource Allocation in Containerized Cloud Environments. CLUSTER 2015: 535-536 - [c65]Ryan McKinney, Vivek K. Pallipuram, Rodrigo Vargas, Michela Taufer:
From HPC Performance to Climate Modeling: Transforming Methods for HPC Predictions into Models of Extreme Climate Conditions. e-Science 2015: 108-117 - [c64]Travis Johnston, Mohammad Alsulmi, Pietro Cicotti, Michela Taufer:
Performance Tuning of MapReduce Jobs Using Surrogate-based Modeling. ICCS 2015: 49-59 - [c63]Trilce Estrada, Michael R. Wyatt II, Michela Taufer:
A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud. ICPADS 2015: 372-379 - [c62]Vivek K. Pallipuram, Trilce Estrada, Michela Taufer:
A Testing Engine for High-Performance and Cost-Effective Workflow Execution in the Cloud. ICPP 2015: 849-858 - [c61]Ramesh Hariharan, Ananth Kalyanaraman, Michela Taufer, Trilce Estrada, Pietro Cicotti, Pavan Balaji:
HiCOMB 2015 Keynote and Invited Talks. IPDPS Workshops 2015: 331 - [c60]Michela Taufer:
AsHES Keynote. IPDPS Workshops 2015: 593 - [e1]Thilo Kielmann, Dean Hildebrand, Michela Taufer:
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2015, Portland, OR, USA, June 15-19, 2015. ACM 2015, ISBN 978-1-4503-3550-8 [contents] - [i1]Travis Johnston, Boyu Zhang, Adam Liwo, Silvia Crivelli, Michela Taufer:
It-Situ Data Analysis of Protein Folding Trajectories. CoRR abs/1510.08789 (2015) - 2014
- [j17]Samuel Schlachter, Stephen Herbein, Shuching Ou, Jeremy S. Logan, Sandeep Patel, Michela Taufer:
Pursuing Coordinated Trajectory Progression and Efficient Resource Utilization of GPU-Enabled Molecular Dynamics Simulations. IEEE Des. Test 31(1): 40-50 (2014) - [c59]Vivek K. Pallipuram, Jeffrey DiMarco, Michela Taufer:
Applying frequency analysis techniques to dag-based workflows to benchmark and predict resource behavior on non-dedicated clusters. CLUSTER 2014: 29-37 - [c58]Feng Raoking, Joanne McGrath Cohoon, Kathryn Cooke, Michela Taufer, Trilce Estrada:
Gender and volunteer computing: A survey study. FIE 2014: 1-5 - [c57]Marcos Portnoi, Samuel Schlachter, Michela Taufer:
Study of the Network Impact on Earthquake Early Warning in the Quake-catcher Network Project. ICCS 2014: 453-464 - [c56]Michael Matheny, Stephen Herbein, Norbert Podhorszki, Scott Klasky, Michela Taufer:
Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale. ICPADS 2014: 568-575 - [c55]Stephen Herbein, Scott Klasky, Michela Taufer:
Benchmarking the Performance of Scientific Applications with Irregular I/O at the Extreme Scale. ICPP Workshops 2014: 292-301 - [c54]Boyu Zhang, Trilce Estrada, Pietro Cicotti, Michela Taufer:
Enabling In-Situ Data Analysis for Large Protein-Folding Trajectory Datasets. IPDPS 2014: 221-230 - [c53]Bahman Javadi, Boyu Zhang, Michela Taufer:
Bandwidth Modeling in Large Distributed Systems for Big Data Applications. PDCAT 2014: 21-27 - 2013
- [j16]Michela Taufer, Narayan Ganesan, Sandeep Patel:
GPU-Enabled Macromolecular Simulation: Challenges and Opportunities. Comput. Sci. Eng. 15(1): 56-65 (2013) - [j15]