Computer Sciences: Enviaments recents

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    • Can we run our Ethereum nodes at home? 

      Cortes Goicoechea, Mikel; Mohandas Daryanani, Tarun; Muñoz Tapia, José Luis; Bautista Gómez, Leonardo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
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      Accés obert
      Scalability is a common issue among the most used permissionless blockchains, and several approaches have been proposed to solve it. However, tackling scalability while preserving the security and decentralization of the ...

    • Vitamin-V: Virtual environment and tool-boxing for trustworthy development of RISC-V based cloud services 

      Canal Corretger, Ramon; Chenet, Cristiano; Arelakis, Angelos; Arnau Montañes, Jose-Maria; Berral García, Josep Lluís; Call Barreiro, Aaron; Di Carlo, Stefano; Costa Prats, Juan José; Otero Calviño, Beatriz; Rodríguez Luna, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      VITAMIN-V is a 2023–2025 Horizon Europe project that aims to develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart and a powerful virtual ...

    • 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 ...

    • 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)
      Text en actes de congrés
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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)
      Text en actes de congrés
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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)
      Text en actes de congrés
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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)
      Text en actes de congrés
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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 ...

    • Padding Aware Neurons 

      Garcia Gasulla, Dario; Giménez Ábalos, Víctor; Martin Torres, Pablo Agustin (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Convolutional layers are a fundamental component of most image-related models. These layers often implement by default a static padding policy (e.g. zero padding), to control the scale of the internal representations, and ...

    • An evolutionary edge computing architecture for beyond 5G era 

      Kartsakli, Elli; Pérez Romero, Jordi; Bartzoudis, Nikolaos; Sallent Roig, Oriol; Kolawole, Oluwatayo; Tao, Xin; Mohalik, Swarup Kumar; Mach, Tomasz; Liu, Sige; Deng, Yansha; Mandò, Gianluca; Antonopoulos, Angelos; Frascolla, Valerio; Kosu, Semiha; Kalem, Gokhan; Buining, Fred; Quiñones Moreno, Eduardo (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Comunicació de congrés
      Accés obert
      Beyond 5G (B5G) communication networks face the challenge of meeting the demanding requirements of various service types, including uRLLC, mIoT, eMBB, and emerging technologies like Extended Reality (XR). Edge computing ...

    • 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)
      Text en actes de congrés
      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 ...