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Showing 1 to 5 of 5 for “"General Purpose Graphics Processing Units (GPGPUs)"”.

  1. Designing RDMA-based efficient Communication for GPU Remoting

    The use of General Purpose Graphics Processing Units (GPGPUs) has become crucial for accelerating high-performance applications. However, the procurement, setup, and maintenance of GPUs can be costly, and their continuous energy consumption poses additional challenges. Moreover, many applications …

    vt Repository record for Designing RDMA-based efficient Communication for GPU Remoting (opens in a new tab)

  2. Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies

    … multi-core technologies are developed. A general model is developed to simulate atmospheric chemical transport and atmospheric chemical kinetics. The Cell Broadband Engine Architecture (CBEA), General Purpose Graphics Processing Units (GPGPUs), and homogeneous multi-core processors (e.g. …

    vt Repository record for Accelerating Atmospheric Modeling Through Emerging Multi-core Technologies (opens in a new tab)

  3. Proton Computed Tomography: Matrix Data Generation Through General Purpose Graphics Processing Unit Reconstruction

    … and string-averaging-projection (SAP) methods. General purpose graphics processing units (GPGPUs) have hundreds of stream processors for massively parallel calculations. A GPGPU cluster is a set of nodes, with each node containing a set of GPGPUs. This thesis describes a proton simulator that …

    csusb Repository record for Proton Computed Tomography: Matrix Data Generation Through General Purpose Graphics Processing Unit Reconstruction (opens in a new tab)

  4. Computing with Spintronics: Circuits and architectures

    … attempt to use DWM in the cache hierarchy of general-purpose processors. DWM promises unparalleled density by packing several bits of data into each bit-cell. TapeCache, the proposed DWM-based cache architecture, utilizes suitable circuit and architectural optimizations to address two key …

    purdue-thes Repository record for Computing with Spintronics: Circuits and architectures (opens in a new tab)

  5. Programming High-Performance Clusters with Heterogeneous Computing Devices

    Today's high-performance computing (HPC) clusters are seeing an increase in the adoption of accelerators like GPUs, FPGAs and co-processors, leading to heterogeneity in the computation and memory subsystems. To program such systems, application developers typically employ a hybrid programming model …

    vt Repository record for Programming High-Performance Clusters with Heterogeneous Computing Devices (opens in a new tab)