VLD Digital

Displaying 1 - 10 of 512 results

  • Concurrent Analytical Query Processing with GPUs

    White Papers // Jun 2014 // provided by VLD Digital

    In current databases, GPUs are used as dedicated accelerators to process each individual query. Sharing GPUs among concurrent queries is not supported, causing serious resource underutilization. Based on the pro ling of an open-source GPU query engine running commonly used single-query data warehousing workloads, the authors observe that the utilization ...

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  • NOMAD: Nonlocking, stOchastic Multimachine algorithm for Asynchronous and Decentralized matrix completion

    White Papers // Jun 2014 // provided by VLD Digital

    The authors develop an efficient parallel distributed algorithm for matrix completion, named NOMAD (Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion). NOMAD is a decentralized algorithm with non-blocking communication between processors. One of the key features of NOMAD is that the ownership of a variable is asynchronously transferred ...

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  • Ibex - An Intelligent Storage Engine with Support for Advanced SQL Offloading

    White Papers // Jun 2014 // provided by VLD Digital

    Modern data appliances face severe bandwidth bottlenecks when moving vast amounts of data from storage to the query processing nodes. A possible solution to mitigate these bottlenecks is query off-loading to an intelligent storage engine, where partial or whole queries are pushed down to the storage engine. In this paper, ...

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  • ConfluxDB: Multi-Master Replication for Partitioned Snapshot Isolation Databases

    White Papers // Jun 2014 // provided by VLD Digital

    Lazy replication with Snapshot Isolation (SI) has emerged as a popular choice for distributed databases. However, lazy replication often requires execution of update transactions at one (master) site so that it is relatively easy for a total SI order to be determined for consistent installation of updates in the lazily ...

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  • The Case for Personal Data-Driven Decision Making

    White Papers // Jun 2014 // provided by VLD Digital

    Data-Driven Decision Making (D3M) has shown great promise in professional pursuits such as business and government. Here, policy-makers collect and analyze data to make their operations more efficient and equitable. Progress in bringing the benefits of D3M to everyday life has been slow. For example, a student asks, \"If the ...

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  • Reverse k-Ranks Query

    White Papers // May 2014 // provided by VLD Digital

    Finding matching customers for a given product based on individual user's preference are critical for many applications, especially in e-commerce. Recently, the reverse top-k query is proposed to return a number of customers who regard a given product as one of the k most favorite products based on a linear ...

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  • WideTable: An Accelerator for Analytical Data Processing

    White Papers // May 2014 // provided by VLD Digital

    In this paper the authors present a technique called WideTable that aims to improve the speed of analytical data processing systems. A WideTable is built by denormalizing the database, and then converting complex queries into simple scans on the underlying (wide) table. To avoid the pitfalls associated with denormalization, e.g. ...

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  • The Case for Data Visualization Management Systems

    White Papers // May 2014 // provided by VLD Digital

    Most visualizations today are produced by retrieving data from a database and using a specialized visualization tool to render it. This decoupled approach results in significant duplication of functionality, such as aggregation and filters, and misses' tremendous opportunities for cross-layer optimizations. In this paper, the authors present the case for ...

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  • On k-Path Covers and their Applications

    White Papers // May 2014 // provided by VLD Digital

    The authors introduced the k-all-path cover optimization problem with the goal of computing compact yet faithful synopses of the vertex set of road networks. Their proposed pruning algorithm provides close to optimal results in practice and was experimentally proven to be very efficient on large graphs. For the special subcase ...

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  • From Data Fusion to Knowledge Fusion

    White Papers // May 2014 // provided by VLD Digital

    The task of data fusion is to identify the true values of data items (e.g., the true date of birth for Tom Cruise) among multiple observed values drawn from different sources (e.g., Web sites) of varying (and unknown) reliability. A recent survey has provided a detailed comparison of various fusion ...

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