Ara es mostren els items 88-107 de 326

    • DaSH: a benchmark suite for hybrid dataflow and shared memory programming models 

      Gajinov, Vladimir; Stipic, Srdjan; Eric, Igor; Unsal, Osman Sabri; Ayguadé Parra, Eduard; Cristal Kestelman, Adrián (2015-06-01)
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      The current trend in development of parallel programming models is to combine different well established models into a single programming, model in order to support efficient implementation of a wide range of real world ...
    • DaSH: a benchmark suite for hybrid dataflow and shared memory programming models: with comparative evaluation of three hybrid dataflow models 

      Gajinov, Vladimir; Stipic, Srdjan; Eric, Igor; Unsal, Osman Sabri; Ayguadé Parra, Eduard; Cristal Kestelman, Adrián (Association for Computing Machinery (ACM), 2014)
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      The current trend in development of parallel programming models is to combine different well established models into a single programming model in order to support efficient implementation of a wide range of real world ...
    • Data augmentation for deep learning of non-mydriatic screening retinal fundus images 

      Moya Sánchez, Eduardo Ulises; Sánchez Pérez, Abraham; Zapata Victori, Miguel Ángel; Moreno, Jonatan; Garcia Gasulla, Dario; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises (Springer, 2018)
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      Fundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ...
    • Data distribution and loop parallelization for shared-memory multiprocessors 

      Ayguadé Parra, Eduard; García Almiñana, Jordi; Grande Ayan, Ma. Luz; Labarta Mancho, Jesús José (Springer, 1996)
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      Shared-memory multiprocessor systems can achieve high performance levels when appropriate work parallelization and data distribution are performed. These two actions are not independent and decisions have to be taken in a ...
    • DDT: a research tool for automatic data distribution in HPF 

      Ayguadé Parra, Eduard; García Almiñana, Jordi; Gironès Medina, Mercè; Grande Ayan, Ma. Luz; Labarta Mancho, Jesús José (1997-03)
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      This article describes the main features and implementation of our automatic data distribution research tool. The tool (DDT) accepts programs written in Fortran 77 and generates High Performance Fortran (HPF) directives ...
    • Design space explorations for streaming accelerators using streaming architectural simulator 

      Shafiq, Muhammad; Pericas, Miquel; Navarro, Nacho; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2013)
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      In the recent years streaming accelerators like GPUs have been pop-up as an effective step towards parallel computing. The wish-list for these devices span from having a support for thousands of small cores to a nature ...
    • DRAM errors in the field: a statistical approach 

      Živanovič, Darko; Esmaili Dokht, Pouya; Moré, Sergi; Bartolomé, Javier; Carpenter, Paul Matthew; Radojković, Petar; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2019)
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      This paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ...
    • Dual-level parallelism exploitation with OpenMP in coastal ocean circulation modeling 

      González Tallada, Marc; Ayguadé Parra, Eduard; Martorell Bofill, Xavier; Labarta Mancho, Jesús José; Luong, P V (2002-05)
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      Two alternative dual-level parallel implementations of the Multiblock Grid Princeton Ocean Model (MGPOM) are compared in this paper. The first one combines the use of two programming paradigms: message passing with the ...
    • Echo state hoeffding tree learning 

      Marrón Vida, Diego; Read, Jesse; Bifet Figuerol, Albert Carles; Abdessalem, Talel; Ayguadé Parra, Eduard; Herrero Zaragoza, José Ramón (Microtome Publishing, 2016)
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      Nowadays, real-time classi cation of Big Data streams is becoming essential in a variety of application domains. While decision trees are powerful and easy{to{deploy approaches for accurate and fast learning from data ...
    • ecoHMEM: Improving object placement methodology for hybrid memory systems in HPC 

      Jordà Peroliu, Marc; Rai, Siddharth; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Peña Monferrer, Antonio José (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      Recent byte-addressable persistent memory (PMEM) technology offers capacities comparable to storage devices and access times much closer to DRAMs than other non-volatile memory technology. To palliate the large gap with ...
    • Efficient data sharing on heterogeneous systems 

      García-Flores, Víctor; Ayguadé Parra, Eduard; Peña, Antonio J. (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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      General-purpose computing on GPUs has become more accessible due to features such as shared virtual memory and demand paging. Unfortunately it comes at a price, and that is performance. Automatic memory management is ...
    • Efficient exception handling support for GPUs 

      Tanasic, Ivan; Gelado Fernandez, Isaac; Jorda, Marc; Ayguadé Parra, Eduard; Navarro, Nacho (Association for Computing Machinery (ACM), 2017)
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      Operating systems have long relied on the exception handling mechanism to implement numerous virtual memory features and optimizations. However, today's GPUs have a limited support for exceptions, which prevents implementation ...
    • EMOTIVE: the BSC’s engine for cloud solutions 

      Badia Sala, Rosa Maria; Goiri Presa, Íñigo; Guitart Fernández, Jordi; Macías Lloret, Mario; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Ejarque, Jorge; Sirvent Pardell, Raül; Lezzi, Daniele (2009-10-01)
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      Cloud computing is strongly based on virtualization, allowing applications to be multiplexed onto a physical resource while isolated from other applications sharing that physical resource. This technology simplifies the ...
    • Employing nested OpenMP for the parallelization of multi-zone computational fluid dynamics applications 

      Ayguadé Parra, Eduard; González Tallada, Marc; Martorell Bofill, Xavier; Jost, G (2006-05)
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      In this paper we describe the parallelization of the multi-zone code versions of the NAS Parallel Benchmarks employing multi-level OpenMP parallelism. For our study, we use the NanosCompiler that supports nesting of OpenMP ...
    • EMVS: Embedded Multi Vector-core System 

      Hussain, Tassadaq; Haider, Amna; Cristal Kestelman, Adrián; Ayguadé Parra, Eduard (2018-06)
      Article
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      With the increase in the density and performance of digital electronics, the demand for a power-efficient high-performance computing (HPC) system has been increased for embedded applications. The existing embedded HPC ...
    • Enabling distributed key-value stores with low latency-impact snapshot support 

      Polo Bardés, Jordà; Becerra Fontal, Yolanda; Carrera Pérez, David; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Spreitzer, Mike; Steinder, Malgorzata (2013)
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      Current distributed key-value stores generally provide greater scalability at the expense of weaker consistency and isolation. However, additional isolation support is becoming increasingly important in the environments ...
    • Enabling resource sharing between transactional and batch workloads using dynamic application placement 

      Carrera Pérez, David; Steinder, Malgorzata; Whalley, Ian; Torres Viñals, Jordi; Ayguadé Parra, Eduard (Springer, 2008)
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      We present a technique that enables existing middleware to fairly manage mixed workloads: batch jobs and transactional applications. The technique leverages a generic application placement controller, which dynamically ...
    • Enabling resource sharing between transactional and batch workloads using dynamic application placement 

      Carrera Pérez, David; Steinder, Malgorzata; Whalley, Ian; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2008-12)
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      We present a technique that enables existing middleware to fairly manage mixed workloads: batch jobs and transactional applications. The technique leverages a generic application placement controller, which dynamically ...
    • Enhancing resource management through prediction-based policies 

      Navarro Muñoz, Antoni; Lorenzon, Arthur F.; Ayguadé Parra, Eduard; Beltran Querol, Vicenç (Springer, 2020)
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      Task-based programming models are emerging as a promising alternative to make the most of multi-/many-core systems. These programming models rely on runtime systems, and their goal is to improve application performance by ...
    • Enhancing scheduling through monitoring and prediction techniques 

      Navarro Muñoz, Antoni; Beltran Querol, Vicenç; Ayguadé Parra, Eduard (Barcelona Supercomputing Center, 2019-05-07)
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