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    Chapter and Conference Paper

    A Grid Computing Based Virtual Laboratory for Environmental Simulations

    The effective and efficient computing resource allocation, leveraging on a flexible, but straightforward to deploy, configure and use matchmaking tool, is a key component in the grand challenge of realistic, h...

    Raffaele Montella, Giulio Giunta in Parallel Processing and Applied Mathematics (2008)

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    Chapter and Conference Paper

    An Integrated ClassAd-Latent Semantic Indexing Matchmaking Algorithm for Globus Toolkit Based Computing Grids

    The effective and efficient computing resource allocation is a critical issue in the challenging achievement of realistic, high space and temporal resolution and computing time affordable weather, marine and s...

    Raffaele Montella, Giulio Giunta in Parallel Processing and Applied Mathematics (2008)

  3. Chapter and Conference Paper

    A GPGPU Transparent Virtualization Component for High Performance Computing Clouds

    The GPU Virtualization Service (gVirtuS) presented in this work tries to fill the gap between in-house hosted computing clusters, equipped with GPGPUs devices, and pay-for-use high performance virtual clusters...

    Giulio Giunta, Raffaele Montella, Giuseppe Agrillo in Euro-Par 2010 - Parallel Processing (2010)

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    Chapter

    Multidimensional Environmental Data Resource Brokering on Computational Grids and Scientific Clouds

    Grid computing has widely evolved over the past years, and its capabilities have found their way even into business products and are no longer relegated to scientific applications. Today, grid computing techno...

    Raffaele Montella, Giulio Giunta, Giuliano Laccetti in Handbook of Cloud Computing (2010)

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    Chapter

    Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing, and Provisioning

    High-resolution climate and weather forecast models, and regional and global sensor networks, are producing ever-larger quantities of multidimensional environmental data. To be useful, this data must be stored...

    Raffaele Montella, Ian Foster in Handbook of Cloud Computing (2010)

  6. Chapter and Conference Paper

    SOLE: Linking Research Papers with Science Objects

    We introduce Science Object Linking and Embedding (SOLE), a tool for linking research papers with associated science objects, such as source codes, datasets, annotations, workflows, packages, and virtual machine ...

    Quan Pham, Tanu Malik, Ian Foster in Provenance and Annotation of Data and Proc… (2012)

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    Chapter and Conference Paper

    A General-Purpose Virtualization Service for HPC on Cloud Computing: An Application to GPUs

    This paper describes the generic virtualization service GVirtuS (Generic Virtualization Service), a framework for development of split-drivers for cloud virtualization solutions. The main goal of GVirtuS is to...

    Raffaele Montella, Giuseppe Coviello in Parallel Processing and Applied Mathematics (2012)

  8. No Access

    Article

    Special Issue on Novel Parallel and Distributed Computing Paradigms

    Jesus Carretero, Raffaele Montella in New Generation Computing (2013)

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    Chapter and Conference Paper

    The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes

    The availability of computing resources and the need for high quality services are rapidly evolving the vision about the acceleration of knowledge development, improvement and dissemination. The Internet of Th...

    Giuliano Laccetti, Raffaele Montella in Parallel Processing and Applied Mathematics (2014)

  10. No Access

    Article

    Virtualizing high-end GPGPUs on ARM clusters for the next generation of high performance cloud computing

    High performance cloud computing is behind the scene powering “the next big thing” as the mainstream accelerator for innovation in many areas. We describe here how to accelerate inexpensive ARM-based computing...

    Raffaele Montella, Giulio Giunta, Giuliano Laccetti in Cluster Computing (2014)

  11. No Access

    Chapter and Conference Paper

    Virtualizing CUDA Enabled GPGPUs on ARM Clusters

    The acceleration of inexpensive ARM-based computing nodes with high-end CUDA enabled GPGPUs hosted on x86 64 machines using the GVirtuS general-purpose virtualization service is a novel approach to hierarchica...

    Raffaele Montella, Giulio Giunta in Parallel Processing and Applied Mathematics (2016)

  12. No Access

    Chapter and Conference Paper

    Enabling Android-Based Devices to High-End GPGPUs

    The success of Android is based on its unified Java programming model that allows to write platform-independent programs for a variety of different target platforms. In this paper we describe the first, to the...

    Raffaele Montella, Carmine Ferraro in Algorithms and Architectures for Parallel … (2016)

  13. Chapter and Conference Paper

    WhoAreYou (WAY): A Mobile CUDA Powered Picture ID Card Recognition System

    The paper reports a novel cloud based approach for image matching between high-resolution images of faces and low resolution images of ID Cards. We design our application matching the mobile cloud computing de...

    Raffaele Montella, Alfredo Petrosino in New Trends in Image Analysis and Processin… (2017)

  14. Article

    Guest Editorial for Hybrid Parallelism in New HPC Systems

    Giuliano Laccetti, Ian Foster, Marco Lapegna in International Journal of Parallel Programm… (2017)

  15. No Access

    Article

    On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework

    The astonishing development of diverse and different hardware platforms is twofold: on one side, the challenge for the exascale performance for big data processing and management; on the other side, the mobile...

    Raffaele Montella, Giulio Giunta in International Journal of Parallel Programm… (2017)

  16. No Access

    Chapter and Conference Paper

    Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS

    We consider the Incremental Strong constraint 4D VARiational (IS4DVAR) algorithm for data assimilation implemented in ROMS with the aim to study its performance in terms of strong scaling scalability on comput...

    Luisa D’Amore, Rossella Arcucci, Yi Li in Parallel Processing and Applied Mathematics (2018)

  17. No Access

    Chapter and Conference Paper

    Performance, Resilience, and Security in Moving Data from the Fog to the Cloud: The DYNAMO Transfer Framework Approach

    The data crowdsourcing paradigm applied in coastal and marine monitoring and management has been developed only recently due to the challenges of the marine environment. The pervasive internet of things techno...

    Raffaele Montella, Diana Di Luccio in Internet and Distributed Computing Systems (2018)

  18. No Access

    Chapter and Conference Paper

    Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources

    Data crowdsourcing is one of most remarkable results of pervasive and internet connected low-power devices making diverse and different “things” as a world wide distributed system. This paper is focused on a v...

    Livia Marcellino, Raffaele Montella in Parallel Processing and Applied Mathematics (2018)

  19. No Access

    Chapter and Conference Paper

    Relaxing the Correctness Conditions on Concurrent Data Structures for Multicore CPUs. A Numerical Case Study

    The rise of new multicore CPUs introduced new challenges in the process of design of concurrent data structures: in addition to traditional requirements like correctness, linearizability and progress, the scal...

    Giuliano Laccetti, Marco Lapegna in Parallel Processing and Applied Mathematics (2018)

  20. No Access

    Chapter and Conference Paper

    StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer

    The Mediterranean area is subject to a range of destructive weather events, including middle-latitudes storms, Mediterranean sub-tropical hurricane-like storms (“medicanes”), and small-scale but violent local ...

    Raffaele Montella, Diana Di Luccio in Internet and Distributed Computing Systems (2019)

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