Ponències/Comunicacions de congressos: Enviaments recents

Ara es mostren els items 1-12 de 292

    • MScheduler: leveraging spot instances for high-performance reservoir simulation in the cloud 

      Albuquerque Portella, Felipe; Estrela, Paulo J.B.; Malini, Renzo Q.; Teylo, Luan; Berral García, Josep Lluís; Drummond, Lúcia M.A. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Petroleum reservoir simulation uses computer models to predict fluid flow in porous media, aiding to forecast oil production. Engineers execute numerous simulations with different geological realizations to refine the ...

    • DNA-TEQ: an adaptive exponential quantization of tensors for DNN inference 

      Khabbazan, Bahareh; Riera Villanueva, Marc; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Quantization is commonly used in Deep Neural Networks (DNNs) to reduce the storage and computational complexity by decreasing the arithmetical precision of activations and weights, a.k.a. tensors. Efficient hardware ...

    • A two level neural approach combining off-chip prediction with adaptive prefetch filtering 

      Jamet, Alexandre Valentin; Vavouliotis, Georgios; Jiménez, Daniel A.; Álvarez Martí, Lluc; Casas, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2024)
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      To alleviate the performance and energy overheads of contemporary applications with large data footprints, we propose the Two Level Perceptron (TLP) predictor, a neural mechanism that effectively combines predicting whether ...

    • Improving performance of HPC kernels on FPGAs using high-level resource management 

      Filgueras Izquierdo, Antonio; Vidal, Miquel; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Comunicació de congrés
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      In state-of-the-art FPGA, especially in chiplet-based devices, place and route has become an important challenge due to an increase in device size and complexity. In the same way, off-chip memory resources have grown in ...

    • The METASAT hardware platform: A high-performance multicore, AI SIMD and GPU RISC-V platform for on-board processing 

      Kosmidis, Leonidas; Solé i Bonet, Marc; Rodríguez Ferrández, Iván; Wolf, Jannis; Trompouki, Matina Maria (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      The METASAT Horizon Europe project which is funded by the European Commission and started in January 2023, will enable model-based design methodologies in order to manage the complexity of upcoming hardware and software ...

    • Case-study for integration of COTS SoC devices in reliable space systems for on-board processing 

      Rodríguez Ferrández, Iván; Steenari, David; Tali, Maris; Kosmidis, Leonidas; Tonicello, Ferdinando (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Recent trends in Data Handling Systems (DHS) include increased data-rates, in-orbit reconfiguration and the introduction of advanced On-Board Processing (OBP) methods to extract actionable information on-board, with low ...

    • Evaluating the computational capabilities of embedded multicore and GPU platforms for on-board image processing 

      Rodríguez Ferrández, Iván; Kosmidis, Leonidas; Trompouki, Matina Maria; Steenari, David; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      On-board Image Processing is one of the most computationally intensive tasks performed in space payload processing. With the constant increase in the resolution of optical sensors, new powerful architectures are needed for ...

    • GMX: Instruction set extensions for fast, scalable, and efficient genome sequence alignment 

      Doblas Font, Max; Lostes Cazorla, Oscar; Aguado Puig, Quim; Cebry, Nicholas; Fontova Muste, Pau; Batten, Christopher; Marco Sola, Santiago; Moretó Planas, Miquel (Association for Computing Machinery (ACM), 2023)
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      Sequence alignment remains a fundamental problem in computer science with practical applications ranging from pattern matching to computational biology. The ever-increasing volumes of genomic data produced by modern DNA ...

    • Time-quality tradeoff of MuseHash query processing performance 

      Pegia, Maria; Agulló López, Ferran; Moumtzidou, Anastasia; Gutiérrez Torre, Alberto; Jónsson, Björn Þór; Berral García, Josep Lluís; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2024)
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      Accés restringit per política de l'editorial
      Nowadays, large quantities of multimedia data are generated by various applications on smartphones, drones and other devices. Facilitating retrieval from these multimedia collections requires (a) effective media representation ...

    • Acceleration of synthetic aperture radar for on-board space systems 

      Solé i Bonet, Marc; Rodríguez Ferrández, Iván; Steenari, David; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      There is an increasing trend in modern space systems to move processing that until now was transmitted to ground for processing, on board the satellite. Synthetic Aperture Radar (SAR) is an example of such processing. ...

    • QeiHaN: An energy-efficient DNN accelerator that leverages log quantization in NDP architectures 

      Khabbazan, Bahareh; Riera Villanueva, Marc; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Comunicació de congrés
      Accés obert
      The constant growth of DNNs makes them challenging to implement and run efficiently on traditional computecentric architectures. Some works have attempted to enhance accelerators by adding more compute units and on-chip ...

    • Improving the discovery and clustering of three-dimensional protein patterns with OpenMP 

      Valdés Jiménez, Alejandro Mauricio; Reyes Parada, Miguel; Núñez Vivanco, Gabriel; Durán-Verdugo, Fabio; Jiménez González, Daniel (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      The discovery of conserved three-dimensional (3D) amino-acid patterns among a set of protein structures can be useful, for instance, to predict the functions of unknown proteins or for the rational design of multi-target ...