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333,939
Relational Query Co-Processing on Graphics
"... Graphics processors (GPUs) have recently emerged as a powerful co-processor for general-purpose computation. Compared with commodity CPUs, GPUs have an order of magnitude higher com-putation power as well as memory bandwidth. Moreover, new-generation GPUs allow writes to random memory locations, pro ..."
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careful design and implementation to utilize the GPU for co-processing database queries. In this paper, we present our design, implementation, and evaluation of an in-memory rela-tional query co-processing system, GDB, on the GPU. Taking advantage of the GPU hardware features, we design a set of highly
Gpuqp: query co-processing using graphics processors
- In SIGMOD ’07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data
, 2007
"... We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditionally designed for graphics applications. Recent research has shown that they can accelerate some database operations order ..."
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Cited by 8 (1 self)
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We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditionally designed for graphics applications. Recent research has shown that they can accelerate some database operations
The Lorel Query Language for Semistructured Data
- International Journal on Digital Libraries
, 1997
"... We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages are inapprop ..."
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Cited by 734 (29 self)
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We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages
A survey of general-purpose computation on graphics hardware
, 2007
"... The rapid increase in the performance of graphics hardware, coupled with recent improvements in its programmability, have made graphics hardware acompelling platform for computationally demanding tasks in awide variety of application domains. In this report, we describe, summarize, and analyze the l ..."
Abstract
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Cited by 545 (18 self)
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the latest research in mapping general-purpose computation to graphics hardware. We begin with the technical motivations that underlie general-purpose computation on graphics processors (GPGPU) and describe the hardware and software developments that have led to the recent interest in this field. We then aim
Tinydb: An acquisitional query processing system for sensor networks
- ACM Trans. Database Syst
, 2005
"... We discuss the design of an acquisitional query processor for data collection in sensor networks. Acquisitional issues are those that pertain to where, when, and how often data is physically acquired (sampled) and delivered to query processing operators. By focusing on the locations and costs of acq ..."
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Cited by 609 (8 self)
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We discuss the design of an acquisitional query processor for data collection in sensor networks. Acquisitional issues are those that pertain to where, when, and how often data is physically acquired (sampled) and delivered to query processing operators. By focusing on the locations and costs
Efficient and Effective Querying by Image Content
- Journal of Intelligent Information Systems
, 1994
"... In the QBIC (Query By Image Content) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include med ..."
Abstract
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Cited by 500 (13 self)
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In the QBIC (Query By Image Content) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include
An introduction to variational methods for graphical models
- TO APPEAR: M. I. JORDAN, (ED.), LEARNING IN GRAPHICAL MODELS
"... ..."
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
, 2002
"... RDF and RDF Schema are two W3C standards aimed at enriching the Web with machine-processable semantic data. ..."
Abstract
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Cited by 537 (11 self)
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RDF and RDF Schema are two W3C standards aimed at enriching the Web with machine-processable semantic data.
VisualSEEk: a fully automated content-based image query system
, 1996
"... 1 We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system finds the images that contain the most similar arrangements of ..."
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Cited by 752 (31 self)
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of similar regions. Prior to the queries, the system automatically extracts and indexes salient color regions from the images. By utilizing efficient indexing techniques for color information, region sizes and absolute and relative spatial locations, a wide variety of complex joint color/spatial queries may
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333,939
