Search Results - "Thibault, Samuel"

Achieving High Performance on Supercomputers with a Sequential Task-based Programming Model by Agullo, Emmanuel, Aumage, Olivier, Faverge, Mathieu, Furmento, Nathalie, Pruvost, Florent, Sergent, Marc, Thibault, Samuel Paul

“…The emergence of accelerators as standard computing resources on supercomputers and the subsequent architectural complexity increase revived the need for…”
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StarPU: a unified platform for task scheduling on heterogeneous multicore architectures by Augonnet, Cédric, Thibault, Samuel, Namyst, Raymond, Wacrenier, Pierre-André

“…In the field of HPC, the current hardware trend is to design multiprocessor architectures featuring heterogeneous technologies such as specialized coprocessors…”
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Taming data locality for task scheduling under memory constraint in runtime systems by Gonthier, Maxime, Marchal, Loris, Thibault, Samuel

“…A now-classical way of meeting the increasing demand for computing speed by HPC applications is the use of GPUs and/or other accelerators. Such accelerators…”
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hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications by Broquedis, Franois, Clet-Ortega, Jerome, Moreaud, Stephanie, Furmento, Nathalie, Goglin, Brice, Mercier, Guillaume, Thibault, Samuel, Namyst, Raymond

“…The increasing numbers of cores, shared caches and memory nodes within machines introduces a complex hardware topology. High-performance computing applications…”
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Revisiting dynamic DAG scheduling under memory constraints for shared-memory platforms by Bathie, Gabriel, Marchal, Loris, Robert, Yves, Thibault, Samuel

“…This work focuses on dynamic DAG scheduling under memory constraints. We target a shared-memory platform equipped with p parallel processors. We aim at…”
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Tracing task‐based runtime systems: Feedbacks from the StarPU case by Denis, Alexandre, Jeannot, Emmanuel, Swartvagher, Philippe, Thibault, Samuel

“…Summary Given the complexity of current supercomputers and applications, being able to trace application executions to understand their behavior is not a…”
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Programming heterogeneous architectures using hierarchical tasks by Faverge, Mathieu, Furmento, Nathalie, Guermouche, Abdou, Lucas, Gwenolé, Namyst, Raymond, Thibault, Samuel, Wacrenier, Pierre‐André

“…Summary Task‐based systems have become popular due to their ability to utilize the computational power of complex heterogeneous systems. A typical programming…”
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EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems by Papadopoulos, Lazaros, Soudris, Dimitrios, Kessler, Christoph, Ernstsson, August, Ahlqvist, Johan, Vasilas, Nikos, Papadopoulos, Athanasios I., Seferlis, Panos, Prouveur, Charles, Haefele, Matthieu, Thibault, Samuel, Salamanis, Athanasios, Ioakimidis, Theodoros, Kehagias, Dionysios

“…Programming upcoming exascale computing systems is expected to be a major challenge. New programming models are required to improve programmability, by hiding…”
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Faithful performance prediction of a dynamic task-based runtime system for heterogeneous multi-core architectures by Stanisic, Luka, Thibault, Samuel, Legrand, Arnaud, Videau, Brice, Méhaut, Jean-François

“…Summary Multi‐core architectures comprising several graphics processing units (GPUs) have become mainstream in the field of high‐performance computing…”
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A visual performance analysis framework for task‐based parallel applications running on hybrid clusters by Garcia Pinto, Vinícius, Mello Schnorr, Lucas, Stanisic, Luka, Legrand, Arnaud, Thibault, Samuel, Danjean, Vincent

“…Summary Programming paradigms in High‐Performance Computing have been shifting toward task‐based models that are capable of adapting readily to heterogeneous…”
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Structuring the execution of OpenMP applications for multicore architectures by Broquedis, Francois, Aumage, Olivier, Goglin, Brice, Thibault, Samuel, Wacrenier, Pierre-Andr, Namyst, Raymond

“…The now commonplace multi-core chips have introduced, by design, a deep hierarchy of memory and cache banks within parallel computers as a tradeoff between the…”
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Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach by Agosta, Giovanni, Aldinucci, Marco, Alvarez, Carlos, Ammendola, Roberto, Arfat, Yasir, Beaumont, Olivier, Bernaschi, Massimo, Biagioni, Andrea, Boccali, Tommaso, Bramas, Berenger, Brandolese, Carlo, Cantalupo, Barbara, Carrozzo, Mauro, Cattaneo, Daniele, Celestini, Alessandro, Celino, Massimo, Colonnelli, Iacopo, Cretaro, Paolo, D’Ambra, Pasqua, Danelutto, Marco, Esposito, Roberto, Eyraud-Dubois, Lionel, Filgueras, Antonio, Fornaciari, William, Frezza, Ottorino, Galimberti, Andrea, Giacomini, Francesco, Goglin, Brice, Gregori, Daniele, Guermouche, Abdou, Iannone, Francesco, Kulczewski, Michal, Lo Cicero, Francesca, Lonardo, Alessandro, Martinelli, Alberto R., Martinelli, Michele, Martorell, Xavier, Massari, Giuseppe, Montangero, Simone, Mittone, Gianluca, Namyst, Raymond, Oleksiak, Ariel, Palazzari, Paolo, Paolucci, Pier Stanislao, Reghenzani, Federico, Rossi, Cristian, Saponara, Sergio, Simula, Francesco, Terraneo, Federico, Thibault, Samuel, Torquati, Massimo, Turisini, Matteo, Vicini, Piero, Vidal, Miquel, Zoni, Davide, Zummo, Giuseppe

“…In the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints:…”
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Resiliency in numerical algorithm design for extreme scale simulations by Agullo, Emmanuel, Altenbernd, Mirco, Anzt, Hartwig, Bautista-Gomez, Leonardo, Benacchio, Tommaso, Bonaventura, Luca, Bungartz, Hans-Joachim, Chatterjee, Sanjay, Ciorba, Florina M, DeBardeleben, Nathan, Drzisga, Daniel, Eibl, Sebastian, Engelmann, Christian, Gansterer, Wilfried N, Giraud, Luc, Göddeke, Dominik, Heisig, Marco, Jézéquel, Fabienne, Kohl, Nils, Li, Xiaoye Sherry, Lion, Romain, Mehl, Miriam, Mycek, Paul, Obersteiner, Michael, Quintana-Ortí, Enrique S, Rizzi, Francesco, Rüde, Ulrich, Schulz, Martin, Fung, Fred, Speck, Robert, Stals, Linda, Teranishi, Keita, Thibault, Samuel, Thönnes, Dominik, Wagner, Andreas, Wohlmuth, Barbara

“…This work is based on the seminar titled ‘Resiliency in Numerical Algorithm Design for Extreme Scale Simulations’ held March 1–6, 2020, at Schloss Dagstuhl,…”
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MASA-StarPU: Parallel Sequence Comparison with Multiple Scheduling Policies and Pruning by Lopes, Rafael A., Thibault, Samuel, M. A. Melo, Alba C.

“…Sequence comparison tools based on the Smith-Waterman (SW) algorithm provide the optimal result but have high execution times when the sequences compared are…”
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From tasks graphs to asynchronous distributed checkpointing with local restart by Lion, Romain, Thibault, Samuel

“…The ever-increasing number of computation units assembled in current HPC platforms leads to a concerning increase in fault probability. Traditional…”
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List Scheduling in Embedded Systems Under Memory Constraints by Arras, Paul-Antoine, Fuin, Didier, Jeannot, Emmanuel, Stoutchinin, Arthur, Thibault, Samuel

“…Video decoding and image processing in embedded systems are subject to strong resource constraints, particularly in terms of memory. List-scheduling heuristics…”
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Data-Aware Task Scheduling on Multi-accelerator Based Platforms by Augonnet, Cédric, Clet-Ortega, Jérôme, Thibault, Samuel, Namyst, Raymond

“…To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the…”
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Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry by AlOnazi, A., Ltaief, H., Keyes, D., Said, I., Thibault, S.

“…We propose a new framework for deploying Reverse Time Migration (RTM) simulations on distributed-memory systems equipped with multiple GPUs. Our software,…”
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Data-Driven Locality-Aware Batch Scheduling by Gonthier, Maxime, Larsson, Elisabeth, Marchal, Loris, Nettelblad, Carl, Thibault, Samuel

“…Clusters employ workload schedulers such as the Slurm Workload Manager to allocate computing jobs onto nodes. These schedulers usually aim at a good tradeoff…”
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Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems by Gonthier, Maxime, Marchal, Loris, Thibault, Samuel

“…The use of accelerators such as GPUs has become mainstream to achieve high performance on modern computing systems. GPUs come with their own (limited) memory…”
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