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Showing 1 to 10 of 10 for “"High Performance Computation"”.

  1. Dynamic Workload Division in GPU-CPU Heterogeneous Systems

    GPU provides powerful computational capabilities and huge potential optimization possibility of efficient. As a result, the CPU-GPU heterogeneous architecture is still the hot zone of the high performance computation. However, the energy consuming is still the bottle neck of the entire the system, …

    ohiolink Repository record for Dynamic Workload Division in GPU-CPU Heterogeneous Systems (opens in a new tab)

  2. Towards efficient nonlinear option pricing

    … solution with reasonable accuracy and using high-performance computation. The first approach applies the Newton-Raphson method to solve the nonlinear system resulting from the finite difference spatial discretisation. Several adjustments for improving accuracy are examined. These Newton-based …

    greenwich Repository record for Towards efficient nonlinear option pricing (opens in a new tab)

  3. Nonlinear machine learning of macromolecular folding and self-assembly

    High performance computation and sophisticated machine learning algorithms have emerged as new tools for studying biological, physical and chemical systems at the atomistic scale. In this thesis, I report several applications of molecular dynamics simulation and machine learning in the study of the …

    uiuc Repository record for Nonlinear machine learning of macromolecular folding and self-assembly (opens in a new tab)

  4. Energy-efficient wireline transceivers

    Power-efficient wireline transceivers are highly demanded by many applications in high performance computation and communication systems. Apart from transferring a wide range of data rates to satisfy the interconnect bandwidth requirement, the transceivers have very tight power budget and are …

    uiuc Repository record for Energy-efficient wireline transceivers (opens in a new tab)

  5. Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges

    … Internet-of-Things (IoT) and their seamless 'computation/consumption' within a geo-distributed (edge/core) cloud infrastructure in order to cater to user Quality of Experience (QoE) expectations. Thus, the edge computing needs to be designed with a reliable performance while interfacing with …

    missouri Repository record for Reliable service chain orchestration for scalable data-intensive computing at infrastructure edges (opens in a new tab)

  6. Orbital Angular Momentum Microlasers: From The First Demonstration To Ultrafast Tunability

    … a new information dimension, thereby promising high capacity optical communication and high performance computation in both classical and quantum regimes. Meanwhile, laser is the key driver in the field of optics and photonics over other photonic components. Since its discovery, laser technology …

    penn Repository record for Orbital Angular Momentum Microlasers: From The First Demonstration To Ultrafast Tunability (opens in a new tab)

  7. A dynamic middleware to integrate multiple cloud infrastructures with remote apllications

    In an era with compelling need for greater computation power, the aggregation of software system components is becoming more challenging and diverse. The new-generation scientific applications are growing hub of complex and intense computation performed on huge data set with exponential growth. …

    vt Repository record for A dynamic middleware to integrate multiple cloud infrastructures with remote apllications (opens in a new tab)

  8. JUSTGrid: a pure Java HPCC grid architecture for multi-physics solvers using complex geometries

    … it's work in March 2002 with the outstanding performance of 35,860 Gflops (40 TFIops peak) [TRIOO], numerous scientists opted in favour of such a high-performance computation and communications (HPCC) approach, suggesting to build again Cray type vector supercomputers that dominated scientific …

    greenwich Repository record for JUSTGrid: a pure Java HPCC grid architecture for multi-physics solvers using complex geometries (opens in a new tab)

  9. Timed execution in distributed machine learning

    … ability to extract intricate structures from high-dimensional data takes the credit for major advances in machine learning. Essential ingredients that make Deep Learning possible include: the availability of a massive curated data, a well-designed model, and readily available high-performance

    uiuc Repository record for Timed execution in distributed machine learning (opens in a new tab)

  10. Nonlinear fluid dynamics in complex geometries

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms

    uiuc Repository record for Nonlinear fluid dynamics in complex geometries (opens in a new tab)