Publications

Export 455 results:
2019
R. F. da Silva, A. - C. Orgerie, H. Casanova, R. Tanaka, E. Deelman, and F. Suter, "Accurately Simulating Energy Consumption of I/O-intensive Scientific Workflows", Computational Science – ICCS 2019: Springer International Publishing, pp. 138–152, 2019.
A. Brinckman, E. Deelman, S. Gupta, J. Nabrzyski, S. Park, R. F. da Silva, I. J. Taylor, and K. Vahi, "Collaborative Circuit Designs using the CRAFT Repository", Future Generation Computer Systems, vol. 94, pp. 841–853, 2019.
P. Chang, G. Allen, W. Anderson, F. B. Bianco, J. S. Bloom, P. R. Brady, A. Brazier, B. S. Cenko, S. M. Couch, T. DeYoung, E. Deelman, Z. B. Etienne, R. J. Foley, D. B. Fox, Z. V. Golkhou, D. R. Grant, C. Hanna, K. Holley-Bockelmann, A. D. Howell, E. A. Huerta, et al., Cyberinfrastructure Requirements to Enhance Multi-messenger Astrophysics, , 2019.
E. Deelman, K. Vahi, M. Rynge, R. Mayani, R. F. da Silva, G. Papadimitriou, and M. Livny, "The Evolution of the Pegasus Workflow Management Software", Computing in Science Engineering, 2019.
D. Garijo, D. Khider, V. Ratnakar, Y. Gil, E. Deelman, R. F. da Silva, C. Knoblock, Y. - Y. Chiang, M. Pham, J. Pujara, B. Vu, D. Feldman, R. Mayani, K. Cobourn, C. Duffy, A. Kemanian, L. Shu, V. Kumar, A. Khandelwal, K. Tayal, et al., "An Intelligent Interface for Integrating Climate, Hydrology, Agriculture, and Socioeconomic Models", ACM 24th International Conference on Intelligent User Interfaces (IUI'19), pp. 111–112, 2019.
R. F. da Silva, S. Callaghan, T. M. A. Do, G. Papadimitriou, and E. Deelman, "Measuring the Impact of Burst Buffers on Data-Intensive Scientific Workflows", Future Generation Computer Systems, vol. 101, pp. 208–220, 2019.
E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou, "The role of machine learning in scientific workflows", The International Journal of High Performance Computing Applications, 2019.
S. Bogol, P. Brenner, A. Brinckman, E. Deelman, R. F. da Silva, S. Gupta, J. Nabrzyski, S. Park, D. Perez, M. Rynge, I. Taylor, K. Vahi, M. V. Werf, R. Sarah, and S. Wyngaard, "A Secure Gateway for Enabling ASIC Design Collaborations", 11th International Workshop on Science Gateways (IWSG 2019), 2019.
R. F. da Silva, R. Filgueira, E. Deelman, E. Pairo-Castineira, I. M. Overton, and M. Atkinson, "Using Simple PID-inspired Controllers for Online Resilient Resource Management of Distributed Scientific Workflows", Future Generation Computer Systems, vol. 95, pp. 615-628, 2019.
2018
T. Estrada, J. Benson, H. Carrillo-Cabada, A. Razavi, M. Cuendet, H. Weinstein, E. Deelman, and M. Taufer, "Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis", 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, pp. 315-324, 08, 2018.
A. Brinckman, E. Deelman, S. Gupta, J. Nabrzyski, S. Park, R. F. da Silva, Taylor, Ian J., and K. Vahi, "Collaborative Circuit Designs using the CRAFT Repository", Future Generation Computer Systems, vol. accepted, 2018.
T. M. A. Do, M. Jiang, B. Gallagher, A. Chu, C. Harrison, K. Vahi, and E. Deelman, "Enabling Data Analytics Workflows using Node-Local Storage", The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Poster, 2018.
S. Pandey, K. Vahi, R. F. da Silva, E. Deelman, M. Jian, C. Harrison, A. Chu, and H. Casanova, Event-Based Triggering and Management of Scientific Workflow Ensembles, , 2018.
E. Deelman, T. Peterka, I. Altintas, C. D. Carothers, K. K. van Dam, K. Moreland, M. Parashar, L. Ramakrishnan, M. Taufer, and J. Vetter, "The future of scientific workflows", The International Journal of High Performance Computing Applications, vol. 32, no. 1, pp. 159–175, 2018.
R. Filgueira, R. F. da Silva, E. Deelman, V. Christodoulou, and A. Krause, "IoT-Hub: New IoT data-platform for Virtual Research Environments", 10th International Workshop on Science Gateways (IWSG 2018), 2018.
B. Tovar, R. F. da Silva, G. Juve, E. Deelman, W. Allcock, D. Thain, and M. Livny, "A Job Sizing Strategy for High-Throughput Scientific Workflows", IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 2, pp. 240–253, 2018.
Y. Gil, K. Cobourn, E. Deelman, C. Duffy, R. F. da Silva, A. Kemanian, C. Knoblock, V. Kumar, S. Peckham, L. Carvalho, Y. - Y. Chiang, D. Garijo, D. Khider, A. Khandelwal, M. Pahm, J. Pujara, V. Ratnakar, M. Stoica, and B. Vu, "MINT: Model Integration Through Knowledge-Powered Data and Process Composition", 9th International Congress on Environmental Modelling and Software, 2018.
R. F. da Silva, D. Garijo, S. Peckham, Y. Gil, E. Deelman, and V. Ratnakar, "Towards Model Integration via Abductive Workflow Composition and Multi-Method Scalable Model Execution", 9th International Congress on Environmental Modelling and Software, 2018.
K. Vahi, M. H. Wang, C. Chang, S. Dodelson, M. Rynge, and E. Deelman, "Workflows using Pegasus: Enabling Dark Energy Survey Pipelines", 28th annual international Astronomical Data Analysis Software & Systems (ADASS), 2018.
2017
I. J. Taylor, A. Brinckman, E. Deelman, R. F. da Silva, S. Gupta, J. Nabrzyski, S. Park, and K. Vahi, "Accelerating Circuit Realization via a Collaborative Gateway of Innovations", 9th International Workshop on Science Gateways (IWSG 2017), 2017.
I. J. Taylor, A. Brinckman, E. Deelman, R. F. da Silva, S. Gupta, J. Nabrzyski, S. Park, and K. Vahi, "Accelerating Circuit Realization via a Collaborative Gateway of Innovations", 9th International Workshop on Science Gateways (IWSG 2017), 2017.
R. F. da Silva, R. Filgueira, I. Pietri, M. Jiang, R. Sakellariou, and E. Deelman, "A Characterization of Workflow Management Systems for Extreme-Scale Applications", Future Generation Computer Systems, vol. accepted, 2017.
V. Lynch, J. B. Calvo, E. Deelman, R. F. da Silva, M. Goswami, Y. Hui, E. Lingerfelt, and J. Vetter, "Distributed Workflows for Modeling Experimental Data", 2017 IEEE High Performance Extreme Computing Conference (HPEC'17), 2017.
E. Deelman, T. Peterka, I. Altintas, C. D. Carothers, K. K. van Dam, K. Moreland, M. Parashar, L. Ramakrishnan, M. Taufer, and J. Vetter, "The future of scientific workflows", The International Journal of High Performance Computing Applications, vol. accepted, 2017.
B. Tovar, R. F. da Silva, G. Juve, E. Deelman, W. Allcock, D. Thain, and M. Livny, "A Job Sizing Strategy for High-Throughput Scientific Workflows", IEEE Transactions on Parallel and Distributed Systems, vol. accepted, 2017.