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Showing 1 to 5 of 5 for “"near-data"”.

  1. Near-data scheduling for data centers with multiple levels of data locality

    Data locality is a fundamental issue for data-parallel applications. Considering MapReduce in Hadoop, the map task scheduling part requires an efficient algorithm which takes data locality into consideration; otherwise, the system may become unstable under loads inside the system's capacity region …

    uiuc Repository record for Near-data scheduling for data centers with multiple levels of data locality (opens in a new tab)

  2. A cross-stack, network-centric architectural design for next-generation datacenters

    This thesis proposes a full-stack, cross-layer datacenter architecture based on in-network computing and near-memory processing paradigms. The proposed datacenter architecture is built atop two principles: (1) utilizing commodity, off-the-shelf hardware (i.e., processor, DRAM, and network devices) …

    uiuc Repository record for A cross-stack, network-centric architectural design for next-generation datacenters (opens in a new tab)

  3. Retina: Cross-Layered Key-Value Store using Computational Storage

    Modern SSDs are getting faster and smarter with near-data computing capabilities. Due to their design choices, traditional key-value stores do not fully leverage these new storage devices. These key-value stores become CPU-bound even before fully utilizing the IO bandwidth. LSM or B+ tree-based …

    vt Repository record for Retina: Cross-Layered Key-Value Store using Computational Storage (opens in a new tab)

  4. Incorporating prior information into geophysical inversion: from regularized inversion of thermal data to a framework using conditional variational autoencoders

    … inversion of temperature and heat flow data. While thermal data containing information about the subsurface distribution of thermal conductivity are widely available, methods to invert thermal data are underexplored. I formulate Tikhonov inversion algorithms to recover continuously …

    colo-mines Repository record for Incorporating prior information into geophysical inversion: from regularized inversion of thermal data to a framework using conditional variational autoencoders (opens in a new tab)