Universitat Duisburg-Essen

Displaying 1-7 of 7 results

  • White Papers // Jul 2014

    Analyzing Put/Get APIs for Thread-collaborative Processors

    In High-Performance Computing (HPC), GPU-based accelerators are pervasive for two reasons: GPUs provide a much higher raw computational power than traditional CPUs. Power consumption increases sub-linearly with the performance increase, making GPUs much more energy-efficient in terms of GFLOPS/Watt than CPUs. Although these advantages are limited to a selected set...

    Provided By Universitat Duisburg-Essen

  • White Papers // Mar 2014

    Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs

    GPUs gain high popularity in High Performance Computing (HPC), due to their massive parallelism and high performance per watt. Despite their popularity, data transfer between multiple GPUs in a cluster remains a problem. Most communication models require the CPU to control the data flow; also intermediate staging copies to host...

    Provided By Universitat Duisburg-Essen

  • White Papers // Mar 2014

    Infiniband-Verbs on GPU: A Case Study of Controlling an Infiniband Network Device From the GPU

    Due to their massive parallelism and high performance per watt GPUs gain high popularity in high performance computing and are a strong candidate for future exacscale systems. But communication and data transfer in GPU accelerated systems remain a challenging problem. Since the GPU normally is not able to control a...

    Provided By Universitat Duisburg-Essen

  • White Papers // Oct 2013

    GGAS: Global GPU Address Spaces for Efficient Communication in Heterogeneous Clusters

    Modern GPUs are powerful high-core-count processors, which are no longer used solely for graphics applications, but are also employed to accelerate computationally intensive general-purpose tasks. For utmost performance, GPUs are distributed throughout the cluster to process parallel programs. In fact, many recent high-performance systems in the TOP500 list are heterogeneous...

    Provided By Universitat Duisburg-Essen

  • White Papers // Mar 2013

    On Achieving High Message Rates

    Computer systems continue to increase in parallelism in all areas. Stagnating single thread performance as well as power constraints prevent a reversal of this trend; on the contrary, current projections show that the trend towards parallelism will accelerate. In cluster computing, scalability, and therefore the degree of parallelism, is limited...

    Provided By Universitat Duisburg-Essen

  • White Papers // Aug 2010

    WorldCupinion: Experiences With an Android App for Real-Time Opinion Sharing During World Cup Soccer Games

    Mobile devices are increasingly used in social networking applications. So far, there is little work on real-time emotion and opinion sharing in large loosely-coupled user communities. This paper presents an Android app for giving realtime feedback during soccer games and to create ad hoc fan groups. This paper discusses the...

    Provided By Universitat Duisburg-Essen

  • White Papers // Dec 2008

    Determinants of Customer Acceptance of Mobile Payment Systems

    In the recent past, the introduction of Mobile Payment Systems (MPS) has gained increasing attention from telecommunications and financial service firms. Cell phones are regarded as a suitable medium for supplementing or even replacing existing settlement procedures. However, to date end-customer use of MPS has not developed as extensively as...

    Provided By Universitat Duisburg-Essen

  • White Papers // Aug 2010

    WorldCupinion: Experiences With an Android App for Real-Time Opinion Sharing During World Cup Soccer Games

    Mobile devices are increasingly used in social networking applications. So far, there is little work on real-time emotion and opinion sharing in large loosely-coupled user communities. This paper presents an Android app for giving realtime feedback during soccer games and to create ad hoc fan groups. This paper discusses the...

    Provided By Universitat Duisburg-Essen

  • White Papers // Dec 2008

    Determinants of Customer Acceptance of Mobile Payment Systems

    In the recent past, the introduction of Mobile Payment Systems (MPS) has gained increasing attention from telecommunications and financial service firms. Cell phones are regarded as a suitable medium for supplementing or even replacing existing settlement procedures. However, to date end-customer use of MPS has not developed as extensively as...

    Provided By Universitat Duisburg-Essen

  • White Papers // Oct 2013

    GGAS: Global GPU Address Spaces for Efficient Communication in Heterogeneous Clusters

    Modern GPUs are powerful high-core-count processors, which are no longer used solely for graphics applications, but are also employed to accelerate computationally intensive general-purpose tasks. For utmost performance, GPUs are distributed throughout the cluster to process parallel programs. In fact, many recent high-performance systems in the TOP500 list are heterogeneous...

    Provided By Universitat Duisburg-Essen

  • White Papers // Mar 2013

    On Achieving High Message Rates

    Computer systems continue to increase in parallelism in all areas. Stagnating single thread performance as well as power constraints prevent a reversal of this trend; on the contrary, current projections show that the trend towards parallelism will accelerate. In cluster computing, scalability, and therefore the degree of parallelism, is limited...

    Provided By Universitat Duisburg-Essen

  • White Papers // Mar 2014

    Infiniband-Verbs on GPU: A Case Study of Controlling an Infiniband Network Device From the GPU

    Due to their massive parallelism and high performance per watt GPUs gain high popularity in high performance computing and are a strong candidate for future exacscale systems. But communication and data transfer in GPU accelerated systems remain a challenging problem. Since the GPU normally is not able to control a...

    Provided By Universitat Duisburg-Essen

  • White Papers // Mar 2014

    Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs

    GPUs gain high popularity in High Performance Computing (HPC), due to their massive parallelism and high performance per watt. Despite their popularity, data transfer between multiple GPUs in a cluster remains a problem. Most communication models require the CPU to control the data flow; also intermediate staging copies to host...

    Provided By Universitat Duisburg-Essen

  • White Papers // Jul 2014

    Analyzing Put/Get APIs for Thread-collaborative Processors

    In High-Performance Computing (HPC), GPU-based accelerators are pervasive for two reasons: GPUs provide a much higher raw computational power than traditional CPUs. Power consumption increases sub-linearly with the performance increase, making GPUs much more energy-efficient in terms of GFLOPS/Watt than CPUs. Although these advantages are limited to a selected set...

    Provided By Universitat Duisburg-Essen