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Eduardo César
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2020 – today
- 2024
- [j20]Christian Guzman Ruiz
, Mario Acosta, Oriol Jorba, Eduardo César Galobardes
Optimized thread-block arrangement in a GPU implementation of a linear solver for atmospheric chemistry mechanisms. Comput. Phys. Commun. 302: 109240 (2024) - [c34]Suren Harutyunyan
Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques. Euro-Par (1) 2024: 18-32 - [i4]Christian Guzman Ruiz, Mario Acosta, Oriol Jorba, Eduardo César Galobardes, Matthew L. Dawson, Guillermo Oyarzun, Carlos Pérez García-Pando, Kim Serradell:
Optimized thread-block arrangement in a GPU implementation of a linear solver for atmospheric chemistry mechanisms. CoRR abs/2405.17363 (2024) - 2023
- [j19]Jordi Alcaraz
Predicting number of threads using balanced datasets for openMP regions. Computing 105(5): 999-1017 (2023) - [j18]Andreu Moreno
A methodology for selecting a performance-convenient ABMS development framework on HPC platforms. Simul. Model. Pract. Theory 128: 102812 (2023) - [c33]Akash Dutta
Performance Optimization using Multimodal Modeling and Heterogeneous GNN. HPDC 2023: 45-57 - [i3]Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari:
Performance Optimization using Multimodal Modeling and Heterogeneous GNN. CoRR abs/2304.12568 (2023) - 2022
- [c32]Akash Dutta, Jordi Alcaraz
Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. AI4S 2022: 26-31 - [d1]Christian Guzman, Matthew L. Dawson, Mario Acosta, Oriol Jorba, Eduardo César, Carlos Pérez, Kim Serradell:
Chemistry Across Multiple Phases (CAMP) - GPU Linear solver update. IEEE DataPort, 2022 - 2021
- [c31]Jordi Alcaraz
Building representative and balanced datasets of OpenMP parallel regions. PDP 2021: 67-74 - 2020
- [j17]Pau Tallada
CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop. Astron. Comput. 32: 100391 (2020) - [i2]Pau Tallada, Jorge Carretero, Jordi Casals, Carles Acosta-Silva, Santiago Serrano, Marc Caubet, Francisco J. Castander, Eduardo César
CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop. CoRR abs/2003.03217 (2020)
2010 – 2019
- 2019
- [j16]Andreu Moreno
Designing a benchmark for the performance evaluation of agent-based simulation applications on HPC. J. Supercomput. 75(3): 1524-1550 (2019) - [c30]Jordi Alcaraz
Hardware Counters' Space Reduction for Code Region Characterization. Euro-Par 2019: 74-86 - 2018
- [j15]Andrea Martínez, Anna Sikora
Evaluating a formal methodology for dynamic tuning of large-scale parallel applications. Concurr. Comput. Pract. Exp. 30(4) (2018) - [j14]Michael Gerndt, Siegfried Benkner
A multi-aspect online tuning framework for HPC applications. Softw. Qual. J. 26(3): 1063-1096 (2018) - [c29]Jordi Alcaraz
Dynamic Tuning of OpenMP Memory Bound Applications in Multisocket Systems using MATE. ICPP Workshops 2018: 37:1-37:10 - 2017
- [j13]Guiyeom Kang, Claudio Márquez
Colorectal tumour simulation using agent based modelling and high performance computing. Future Gener. Comput. Syst. 67: 397-408 (2017) - [j12]Eduardo César
Introducing computational thinking, parallel programming and performance engineering in interdisciplinary studies. J. Parallel Distributed Comput. 105: 116-126 (2017) - [j11]Andreu Moreno, Anna Sikora
HeDPM: load balancing of linear pipeline applications on heterogeneous systems. J. Supercomput. 73(9): 3738-3760 (2017) - 2016
- [c28]Anna Sikora
Autotuning of MPI Applications Using PTF. SEM4HPC@HPDC 2016: 31-38 - 2015
- [c27]Eduardo César
Teaching Parallel Programming in Interdisciplinary Studies. Euro-Par Workshops 2015: 66-77 - [c26]Claudio Márquez
Graph-Based Automatic Dynamic Load Balancing for HPC Agent-Based Simulations. Euro-Par Workshops 2015: 405-416 - [c25]César Allande, Josep Jorba, Anna Sikora
Performance model based on memory footprint for OpenMP memory bound applications. PARCO 2015: 73-82 - 2014
- [j10]Claudia Rosas
Dynamic tuning of the workload partition factor and the resource utilization in data-intensive applications. Future Gener. Comput. Syst. 37: 162-177 (2014) - [j9]Claudia Rosas
Improving Performance on Data-Intensive Applications Using a Load Balancing Methodology Based on Divisible Load Theory. Int. J. Parallel Program. 42(1): 94-118 (2014) - [j8]Andrea Martínez, Anna Sikora
ELASTIC: A large scale dynamic tuning environment. Sci. Program. 22(4): 261-271 (2014) - [c24]César Allande, Josep Jorba
A Performance Model for OpenMP Memory Bound Applications in Multisocket Systems. ICCS 2014: 2208-2218 - 2013
- [c23]Claudio Márquez
Agent Migration in HPC Systems Using FLAME. Euro-Par Workshops 2013: 523-532 - [c22]Andrea Martínez, Anna Sikora
How to Determine the Topology of Hierarchical Tuning Networks for Dynamic Auto-Tuning in Large-Scale Systems. ICCS 2013: 1352-1361 - [c21]Andrea Martínez, Anna Sikora
How to Scale Dynamic Tuning to Large Parallel Applications. IPDPS Workshops 2013: 355-364 - [c20]Jairo Serrano, Eduardo César
Increasing Automated Vulnerability Assessment Accuracy on Cloud and Grid Middleware. ISPEC 2013: 278-294 - [c19]Robert Mijakovic
Specification of Periscope Tuning Framework Plugins. PARCO 2013: 123-132 - [c18]Antonio Pimenta, Eduardo César
Methodology for MPI applications autotuning. EuroMPI 2013: 145-146 - 2012
- [j7]Jairo Serrano, Elisa Heymann, Eduardo César, Barton P. Miller:
Computer Sciences Department. Comput. Informatics 31(1): 103-118 (2012) - [j6]Andreu Moreno, Eduardo César
Load balancing in homogeneous pipeline based applications. Parallel Comput. 38(3): 125-139 (2012) - [c17]Claudia Rosas
Dynamic Tuning of the Workload Partition Factor in Data-Intensive Applications. HPCC-ICESS 2012: 216-223 - [c16]Andrea Martínez, Anna Sikora
Hierarchical MATE's approach for dynamic performance tuning of large-scale parallel applications. IPCCC 2012: 191-192 - [c15]Renato Miceli, Gilles Civario, Anna Sikora
AutoTune: A Plugin-Driven Approach to the Automatic Tuning of Parallel Applications. PARA 2012: 328-342 - 2011
- [c14]Claudia Rosas
Workload Balancing Methodology for Data-Intensive Applications with Divisible Load. SBAC-PAD 2011: 48-55 - 2010
- [c13]James A. Kupsch, Barton P. Miller, Elisa Heymann
First principles vulnerability assessment. CCSW 2010: 87-92 - [c12]Anna Morajko
MATE: Toward Scalable Automated and Dynamic Performance Tuning Environment. PARA (2) 2010: 430-440 - [c11]Jose Alexander Guevara, Eduardo César
A Performance Tuning Strategy for Complex Parallel Application. PDP 2010: 103-110
2000 – 2009
- 2009
- [j5]Andreu Moreno
Task distribution using factoring load balancing in Master-Worker applications. Inf. Process. Lett. 109(16): 902-906 (2009) - [c10]Ihab Salawdeh, Anna Morajko
Automatic Performance Tuning of Parallel Mathematical Libraries. PARCO 2009: 407-414 - [e1]Eduardo César
Euro-Par 2008 Workshops - Parallel Processing, VHPC 2008, UNICORE 2008, HPPC 2008, SGS 2008, PROPER 2008, ROIA 2008, and DPA 2008, Las Palmas de Gran Canaria, Spain, August 25-26, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5415, Springer 2009, ISBN 978-3-642-00954-9 [contents] - 2008
- [c9]Ihab Salawdeh, Eduardo César
Performance Model for Parallel Mathematical Libraries Based on Historical Knowledgebase. Euro-Par 2008: 110-119 - [c8]Andreu Moreno, Eduardo César
Dynamic Pipeline Mapping (DPM). Euro-Par 2008: 295-304 - 2006
- [b1]Eduardo César Galobardes:
Definition of Framework-based Performance Models for Dynamic Performance Tuning. Autonomous University of Barcelona, Spain, 2006 - [j4]Eduardo César
Modeling Master/Worker applications for automatic performance tuning. Parallel Comput. 32(7-8): 568-589 (2006) - 2005
- [c7]Eduardo César
Modeling Pipeline Applications in POETRIES. Euro-Par 2005: 83-92 - [c6]Anna Morajko
Automatic Tuning of Master/Worker Applications. Euro-Par 2005: 95-103 - [i1]Paola Caymes-Scutari, Anna Morajko, Eduardo César, Genaro Costa, José G. Mesa, Tomàs Margalef, Joan Sorribes, Emilio Luque:
Development and Tuning Framework of Master/Worker Applications. Automatic Performance Analysis 2005 - 2004
- [c5]Eduardo César
Modeling Master-Worker Applications in POETRIES. HIPS 2004: 22-30 - 2003
- [c4]Eduardo César
POETRIES: Performance Oriented Environment for Transparent Resource-Management, Implementing End-User Parallel/Distributed Applications. Euro-Par 2003: 141-146 - 2002
- [j3]Eduardo César
Dynamic performance tuning supported by program specification. Sci. Program. 10(1): 35-44 (2002) - 2001
- [c3]Anna Morajko
Dynamic Performance Tuning Environment. Euro-Par 2001: 36-45
1990 – 1999
- 1998
- [j2]Emilio Luque, Remo Suppi, Tomàs Margalef, Joan Sorribes, Porfidio Hernández, Eduardo César, Massimo Serranó, C. Ortet, Fernando Cores, J. Falguera:
Performance Prediction of PARALLEL Systems by Simulation. Comput. Artif. Intell. 17(5): 457-468 (1998) - 1997
- [c2]Remo Suppi, Eduardo César, J. Falguera, Massimo Serranó, Joan Sorribes, Emilio Luque, Gábor Dózsa, Péter Kacsuk, Tibor Fadgyas:
Simulation in Parallel Software Design. Euro-PDS 1997: 51-60 - 1996
- [j1]Emilio Luque, Remo Suppi, Joan Sorribes, Eduardo César, J. Falguera, Massimo Serranó:
PSEE: A Tool for Parallel Systems Learning. Comput. Artif. Intell. 15(4): 319-339 (1996) - [c1]Emilio Luque
Parallel systems development in education: a guided method. ITiCSE 1996: 156-158
Coauthor Index
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