238 research outputs found

    Cross-Platform Text Mining and Natural Language Processing Interoperability - Proceedings of the LREC2016 conference

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    No abstract available

    Cross-Platform Text Mining and Natural Language Processing Interoperability - Proceedings of the LREC2016 conference

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    No abstract available

    Managing speech perception data sets

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    Heterogeneous Acceleration for 5G New Radio Channel Modelling Using FPGAs and GPUs

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    L'abstract è presente nell'allegato / the abstract is in the attachmen

    EuroEXA - D2.6: Final ported application software

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    This document describes the ported software of the EuroEXA applications to the single CRDB testbed and it discusses the experiences extracted from porting and optimization activities that should be actively taken into account in future redesign and optimization. This document accompanies the ported application software, found in the EuroEXA private repository (https://github.com/euroexa). In particular, this document describes the status of the software for each of the EuroEXA applications, sketches the redesign and optimization strategy for each application, discusses issues and difficulties faced during the porting activities and the relative lesson learned. A few preliminary evaluation results have been presented, however the full evaluation will be discussed in deliverable 2.8

    OpenCL acceleration on FPGA vs CUDA on GPU

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    HyperFPGA: SoC-FPGA Cluster Architecture for Supercomputing and Scientific applications

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    Since their inception, supercomputers have addressed problems that far exceed those of a single computing device. Modern supercomputers are made up of tens of thousands of CPUs and GPUs in racks that are interconnected via elaborate and most of the time ad hoc networks. These large facilities provide scientists with unprecedented and ever-growing computing power capable of tackling more complex and larger problems. In recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. With more pressure on energy efficiency, an alternative to traditional architectures is needed. Reconfigurable hardware, such as FPGAs, has repeatedly been shown to offer substantial advantages over the traditional supercomputing approach with respect to performance and power consumption. In fact, several works that advanced the field of heterogeneous supercomputing using FPGAs are described in this thesis \cite{survey-2002}. Each cluster and its architectural characteristics can be studied from three interconnected domains: network, hardware, and software tools, resulting in intertwined challenges that designers must take into account. The classification and study of the architectures illustrate the trade-offs of the solutions and help identify open problems and research lines, which in turn served as inspiration and background for the HyperFPGA. In this thesis, the HyperFPGA cluster is presented as a way to build scalable SoC-FPGA platforms to explore new architectures for improved performance and energy efficiency in high-performance computing, focusing on flexibility and openness. The HyperFPGA is a modular platform based on a SoM that includes power monitoring tools with high-speed general-purpose interconnects to offer a great level of flexibility and introspection. By exploiting the reconfigurability and programmability offered by the HyperFPGA infrastructure, which combines FPGAs and CPUs, with high-speed general-purpose connectors, novel computing paradigms can be implemented. A custom Linux OS and drivers, along with a custom script for hardware definition, provide a uniform interface from application to platform for a programmable framework that integrates existing tools. The development environment is demonstrated using the N-Queens problem, which is a classic benchmark for evaluating the performance of parallel computing systems. Overall, the results of the HyperFPGA using the N-Queens problem highlight the platform's ability to handle computationally intensive tasks and demonstrate its suitability for its use in supercomputing experiments.Since their inception, supercomputers have addressed problems that far exceed those of a single computing device. Modern supercomputers are made up of tens of thousands of CPUs and GPUs in racks that are interconnected via elaborate and most of the time ad hoc networks. These large facilities provide scientists with unprecedented and ever-growing computing power capable of tackling more complex and larger problems. In recent years, the most powerful supercomputers have already reached megawatt power consumption levels, an important issue that challenges sustainability and shows the impossibility of maintaining this trend. With more pressure on energy efficiency, an alternative to traditional architectures is needed. Reconfigurable hardware, such as FPGAs, has repeatedly been shown to offer substantial advantages over the traditional supercomputing approach with respect to performance and power consumption. In fact, several works that advanced the field of heterogeneous supercomputing using FPGAs are described in this thesis \cite{survey-2002}. Each cluster and its architectural characteristics can be studied from three interconnected domains: network, hardware, and software tools, resulting in intertwined challenges that designers must take into account. The classification and study of the architectures illustrate the trade-offs of the solutions and help identify open problems and research lines, which in turn served as inspiration and background for the HyperFPGA. In this thesis, the HyperFPGA cluster is presented as a way to build scalable SoC-FPGA platforms to explore new architectures for improved performance and energy efficiency in high-performance computing, focusing on flexibility and openness. The HyperFPGA is a modular platform based on a SoM that includes power monitoring tools with high-speed general-purpose interconnects to offer a great level of flexibility and introspection. By exploiting the reconfigurability and programmability offered by the HyperFPGA infrastructure, which combines FPGAs and CPUs, with high-speed general-purpose connectors, novel computing paradigms can be implemented. A custom Linux OS and drivers, along with a custom script for hardware definition, provide a uniform interface from application to platform for a programmable framework that integrates existing tools. The development environment is demonstrated using the N-Queens problem, which is a classic benchmark for evaluating the performance of parallel computing systems. Overall, the results of the HyperFPGA using the N-Queens problem highlight the platform's ability to handle computationally intensive tasks and demonstrate its suitability for its use in supercomputing experiments

    Effectiveness of seasonal trivalent inactivated influenza vaccine in preventing influenza hospitalisations and primary care visits in Auckland, New Zealand, in 2013

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    This study reports the first vaccine effectiveness (VE) estimates for the prevention of general practice visits and hospitalisations for laboratory-confirmed influenza from an urban population in Auckland, New Zealand, in the same influenza season (2013). A case test-negative design was used to estimate propensity-adjusted VE in both hospital and community settings. Patients with a severe acute respiratory infection (SARI) or influenza-like illness (ILI) were defined as requiring hospitalisation (SARI) or attending a general practice (ILI) with a history of fever or measured temperature ≥38 °C, cough and onset within the past 10 days. Those who tested positive for influenza virus were cases while those who tested negative were controls. Results were analysed to 7 days post symptom onset and adjusted for the propensity to be vaccinated and the timing during the influenza season. Influenza vaccination provided 52% (95%CI: 32 to 66) protection against laboratory-confirmed influenza hospitalisation and 56% (95%CI: 34 to 70) against presenting to general practice with influenza. VE estimates were similar for all typeand subtypes. This study found moderate effectiveness of influenza vaccine against medically attended and hospitalised influenza in New Zealand, a temperate, southern hemisphere country during the 2013 winter season
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