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Showing 1 to 5 of 5 for “"Parallel sampling"”.

  1. ScaleGPS: Scalable Graph Parallel Sampling via Data-centric Performance Engineering

    Graph sampling extracts representative samples of a graph, so that approximate graph algorithms can be used in place of expensive, exact algorithms while still achieving highquality results. Thus, graph sampling plays an important role in many modern graph-based applications, such as graph machine …

    mit Repository record for ScaleGPS: Scalable Graph Parallel Sampling via Data-centric Performance Engineering (opens in a new tab)

  2. Lattice gauge theories on Lefschetz thimbles

    … techniques for the construction and the sampling of this new integration domain. For the sake of performance and due to the fact, that the theories turn out to have a large number of contributing thimbles, we either triangulate the thimbles or even just approximate them by their tangent …

    bielefeld Repository record for Lattice gauge theories on Lefschetz thimbles (opens in a new tab)

  3. Front-end circuits for a photonic analog-to-digital converter

    … of electrical ADCs gets limited at higher sampling rates due to sampling clock jitter, low-jitter mode-lock laser based photonic ADCs are starting to gain more attention. As well as low-jitter and high-linearity operation at very high speeds, photonic ADCs provide the opportunity to …

    mit Repository record for Front-end circuits for a photonic analog-to-digital converter (opens in a new tab)

  4. Transceiver Design for Ultra-Wideband Communications

    … receiver consist of a bank of ADCs performing parallel sampling and an FPGA employed for data processing. Using a software radio design, various modulation schemes and digital receiver topologies are accommodated along with a vast number of algorithms for acquisition, synchronization, and data …

    vt Repository record for Transceiver Design for Ultra-Wideband Communications (opens in a new tab)

  5. A sequential adaptive sampling technique based on a local linear model for computer experiment applications

    … develop a model independent sequential adaptive sampling technique for surrogate model (SM) applications based on a local linear model. This technique, called Nearest Neighbors Adaptive Sampling (NNAS), is conceived to be conceptually simple, computationally robust, and easy to apply, all …

    gatech Repository record for A sequential adaptive sampling technique based on a local linear model for computer experiment applications (opens in a new tab)