Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows

Authors: da Silva, Rafael Ferreira, Bard, Deborah, Chard, Kyle, de Witt, Shaun, Foster, Ian T., Gibbs, Tom, Goble, Carole, Godoy, William, Gustafsson, Johan, Haus, Utz-Uwe, Hudson, Stephen, Jha, Shantenu, Los, Laila, Paine, Drew, Suter, Frédéric, Ward, Logan, Wilkinson, Sean, Amaris, Marcos, Babuji, Yadu, Bader, Jonathan, Balin, Riccardo, Balouek, Daniel, Beecroft, Sarah, Belhajjame, Khalid, Bhattarai, Rajat, Brewer, Wes, Brunk, Paul, Caino-Lores, Silvina, Casanova, Henri, Cassol, Daniela, Coleman, Jared, Coleman, Taina, Colonnelli, Iacopo, Da Silva, Anderson Andrei, de Oliveira, Daniel, Elahi, Pascal, Elfaramawy, Nour, Elwasif, Wael, Etz, Brian, Fahringer, Thomas, Ferreira, Wesley, Filgueira, Rosa, Tande, Jacob Fosso, Gadelha, Luiz, Gallo, Andy, Garijo, Daniel, Georgiou, Yiannis, Gritsch, Philipp, Grubel, Patricia, Gueroudji, Amal, Guilloteau, Quentin, Hamalainen, Carlo, Enriquez, Rolando Hong, Huet, Lauren, Kesling, Kevin Hunter, Iborra, Paula, Jahangiri, Shiva, Janssen, Jan, Jordan, Joe, Kanwal, Sehrish, Kunstmann, Liliane, Lehmann, Fabian, Leser, Ulf, Li, Chen, Liu, Peini, Luettgau, Jakob, Lupat, Richard, Fernandez, Jose M., Maheshwari, Ketan, Malik, Tanu, Marquez, Jack, Matsuda, Motohiko, Medic, Doriana, Mohammadi, Somayeh, Mulone, Alberto, Navarro, John-Luke, Ng, Kin Wai, Noelp, Klaus, Kinoshita, Bruno P., Prout, Ryan, Crusoe, Michael R., Ristov, Sashko, Robila, Stefan, Rosendo, Daniel, Rowell, Billy, Rybicki, Jedrzej, Sanchez, Hector, Saurabh, Nishant, Saurav, Sumit Kumar, Scogland, Tom, Senanayake, Dinindu, Shin, Woong, Sirvent, Raul, Skluzacek, Tyler, Sly-Delgado, Barry, Soiland-Reyes, Stian, Souza, Abel, Souza, Renan, Talia, Domenico, Tallent, Nathan, Thamsen, Lauritz, Titov, Mikhail, Tovar, Benjamin, Vahi, Karan, Vardar-Irrgang, Eric, Vartina, Edite, Wang, Yuandou, Wouters, Merridee, Yu, Qi, Bkhetan, Ziad Al, Zulfiqar, Mahnoor

Subject Terms: Computer Science - Distributed, Parallel, and Cluster Computing

Access URL: http://arxiv.org/abs/2410.14943

Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs

Authors: Amaris, Marcos, Morais, Mayuri A., De Camargo, Raphael Y.

Source: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) Intelligent Transportation Systems Conference (ITSC),2021 IEEE International. :2215-2220 Sep, 2021

Relation: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC)

Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques

Authors: Amaris, Marcos, Camargo, Raphael, Cordeiro, Daniel, Goldman, Alfredo, Trystram, Denis

Source: Journal of parallel and distributed computing. 171:66-78

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100172850938.0x000001&indx=1&recIds=ETOCvdc_100172850938.0x000001

A comparison of GPU execution time prediction using machine learning and analytical modeling

Authors: Amaris, Marcos, de Camargo, Raphael Y., Dyab, Mohamed, Goldman, Alfredo, Trystram, Denis

Source: 2016 IEEE 15th International Symposium on Network Computing and Applications (NCA) Network Computing and Applications (NCA), 2016 IEEE 15th International Symposium on. :326-333 Oct, 2016

Relation: 2016 IEEE 15th International Symposium on Network Computing and Applications (NCA)

OpenMP is Not as Easy as It Appears

Authors: Goncalves, Rogerio, Amaris, Marcos, Okada, Thiago, Bruel, Pedro, Goldman, Alfredo

Source: 2016 49th Hawaii International Conference on System Sciences (HICSS) System Sciences (HICSS), 2016 49th Hawaii International Conference on. :5742-5751 Jan, 2016

Relation: 2016 49th Hawaii International Conference on System Sciences (HICSS)

Generic algorithms for scheduling applications on heterogeneous multi-core platforms

Authors: Amaris, Marcos, Lucarelli, Giorgio, Mommessin, Clément, Trystram, Denis

Subject Terms: Computer Science - Distributed, Parallel, and Cluster Computing

Access URL: http://arxiv.org/abs/1711.06433

PDAWL: Profile-Based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures
Job scheduling strategies for parallel processing (23rd international workshop)

Authors: Geng, Tongsheng, Amaris, Marcos, Zuckerman, Stéphane, Goldman, Alfredo, Gao, Guang R., Gaudiot, Jean-Luc

Source: Lecture notes in computer science. 12326:145-162

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606565122&indx=1&recIds=ETOCCN606565122

Generic Algorithms for Scheduling Applications on Hybrid Multi-core Machines
Parallel and distributed computing (International conference)

Authors: Amaris, Marcos, Lucarelli, Giorgio, Mommessin, Clément, Trystram, Denis

Source: Lecture notes in computer science. 10417:220-231

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN602675980&indx=1&recIds=ETOCCN602675980

A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures.

Authors: Geng, Tongsheng¹ (AUTHOR) tgeng@uci.edu, Amaris, Marcos² (AUTHOR), Zuckerman, Stéphane³ (AUTHOR), Goldman, Alfredo⁴ (AUTHOR), Gao, Guang R.⁵ (AUTHOR), Gaudiot, Jean-Luc¹ (AUTHOR)

Source: International Journal of Parallel Programming. Feb2022, Vol. 50 Issue 1, p115-151. 37p.

Subject Terms: *HIGH performance computing, *SCHEDULING, *MACHINE learning, *AUTOMATED planning & scheduling

Generic algorithms for scheduling applications on heterogeneous platforms

Authors: Amaris, Marcos, Lucarelli, Giorgio, Mommessin, Clément, Trystram, Denis

Source: Concurrency and computation. 31(15)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100085026741.0x000001&indx=1&recIds=ETOCvdc_100085026741.0x000001

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A Simple BSP-based Model to Predict Execution Time in GPU Applications.

Authors: Amaris, Marcos, Cordeiro, Daniel, Goldman, Alfredo, Camargo, Raphael Y. de

Source: 2015 IEEE 22nd International Conference on High Performance Computing (HiPC); 1/1/2015, p285-294, 10p