The Experts below are selected from a list of 4485 Experts worldwide ranked by ideXlab platform

Yue Pan - One of the best experts on this subject based on the ideXlab platform.

  • making uris published on data web rdf dereferencable
    International Semantic Web Conference, 2008
    Co-Authors: Jing Mei, Shengping Liu, Guotong Xie, Yue Pan
    Abstract:

    Nowadays, more and more URIs reside on DataWeb, as published for linked open data, dereferencing URIs challenges the current Web to embrace Semantic Web. Although, quite a few practical recipes for publishing URIs have been provided to make URIs dereferencable, we believe a fundamental investigation of publishing and dereferencing URIs would contribute a Forward Compatibility with the RDF and OWL upper layers in the Semantic Web architecture. In this paper, we propose to make URIs published on Data Web RDF dereferencable, and we formalize such a requirement in an RDF-compatible semantics. Also, the dereferencing operation is defined in an abstract URI syntax, such that URIs, as interpreted as described resources, would be RDF dereferencable by default. Accompanied by a live demonstration, the poster demo explanation would elaborately discuss and seriously address issues on Data Web URIs, which were or have been taken for granted. Additionally, for case study, Metadata Web, a Data Web of enterprise-wide models, is explored. The URIs on Metadata Web is published as RDF dereferencable. Such an implementation of universal metadata management across the enterprise enables the metadata federation such that global query, search and analysis could be conducted on top of the Metadata Web.

Jing Mei - One of the best experts on this subject based on the ideXlab platform.

  • making uris published on data web rdf dereferencable
    International Semantic Web Conference, 2008
    Co-Authors: Jing Mei, Shengping Liu, Guotong Xie, Yue Pan
    Abstract:

    Nowadays, more and more URIs reside on DataWeb, as published for linked open data, dereferencing URIs challenges the current Web to embrace Semantic Web. Although, quite a few practical recipes for publishing URIs have been provided to make URIs dereferencable, we believe a fundamental investigation of publishing and dereferencing URIs would contribute a Forward Compatibility with the RDF and OWL upper layers in the Semantic Web architecture. In this paper, we propose to make URIs published on Data Web RDF dereferencable, and we formalize such a requirement in an RDF-compatible semantics. Also, the dereferencing operation is defined in an abstract URI syntax, such that URIs, as interpreted as described resources, would be RDF dereferencable by default. Accompanied by a live demonstration, the poster demo explanation would elaborately discuss and seriously address issues on Data Web URIs, which were or have been taken for granted. Additionally, for case study, Metadata Web, a Data Web of enterprise-wide models, is explored. The URIs on Metadata Web is published as RDF dereferencable. Such an implementation of universal metadata management across the enterprise enables the metadata federation such that global query, search and analysis could be conducted on top of the Metadata Web.

Ronald Laufer - One of the best experts on this subject based on the ideXlab platform.

  • PipeRench: A Coprocessor for Streaming Multimedia Acceleration
    2018
    Co-Authors: Seth C. Goldstein, Mihai Budiu, Herman Schmit, Srihari Cadambi, Reed R Taylor, Matthew Moe, Ronald Laufer
    Abstract:

    Future computing workloads will emphasize an architecture's ability to perform relatively simple calculations on massive quantities of mixed-width data. This paper describes a novel reconfigurable fabric architecture, PipeRench, optimized to accelerate these types of computations. PipeRench enables fast, robust compilers, supports Forward Compatibility, and virtualizes configurations, thus removing the fixed size constraint present in other fabrics. For the first time we explore how the bit-width of processing elements affects performance and show how the PipeRench architecture has been optimized to balance the needs of the compiler against the realities of silicon. Finally, we demonstrate extreme performance speedup on certain computing kernels (up to 190x versus a modern RISC processor), and analyze how this acceleration translates to application speedup

  • piperench a co processor for streaming multimedia acceleration
    International Symposium on Computer Architecture, 1999
    Co-Authors: Seth Copen Goldstein, Mihai Budiu, Herman Schmit, Srihari Cadambi, Reed R Taylor, Ronald Laufer
    Abstract:

    Future computing workloads will emphasize an architecture's ability to perform relatively simple calculations on massive quantities of mixed-width data. This paper describes a novel reconfigurable fabric architecture, PipeRench, optimized to accelerate these types of computations. PipeRench enables fast, robust compilers, supports Forward Compatibility, and virtualizes configurations, thus removing the fixed size constraint present in other fabrics. For the first time we explore how the bit-width of processing elements affects performance and show how the PipeRench architecture has been optimized to balance the needs of the compiler against the realities of silicon. Finally, we demonstrate extreme performance speedup on certain computing kernels (up to 190x versus a modern RISC processor), and analyze how this acceleration translates to application speedup.

Ulrik Egede - One of the best experts on this subject based on the ideXlab platform.

  • ganga-devs/ganga: 6.2.2
    2016
    Co-Authors: Robert Currie, Mark Slater, Matt Williams, Alexander Richards, Johannes Ebke, Mark Smith, Patrick Owen, Ulrik Egede
    Abstract:

    ganga/python/Ganga Minor fix to the monitoring code. Remove some unneeded stack traces #713 Fix to the host machine identification #759 Fix to the splitter. It now fails if no splitting is done, rather than continuing regardless. #780 Fix to the ARC backend submission #789 Bugfix to raise an exception if a plugin fails to load at startup #794 Implementation of some Forward Compatibility for Ganga 6.3 #807 ganga/python/GangaLHCb Added the option to set the version of LHCbDirac and removed the old guess version code. Changed the default LHCbDirac version to v8r3p7 Fix to the old RT handlers to correctly parse the xml summary #816 Fix some minor bugs in GaudiExec with inputfiles and preparing a raw release with 'prepareGaudiExec' #822 Bugfix for the GaudiExec prepare thread lock #831 ganga/python/Ganga/test Change to the setting of configuration options for tests #742 Fix to the LCG test #761 Fix to the Dirac test to try each SE in order until one works #773 Removal of outdated LHCb tests #782 Ensure a fresh .gangarc is being used for tests #80

  • ganga-devs/ganga: 6.2.1
    2016
    Co-Authors: Robert Currie, Mark Slater, Matt Williams, Alexander Richards, Johannes Ebke, Mark Smith, Patrick Owen, Ulrik Egede
    Abstract:

    ganga/python/Ganga Minor fix to the monitoring code. Remove some unneeded stack traces #713 Fix to the host machine identification #759 Fix to the splitter. It now fails if no splitting is done, rather than continuing regardless. #780 Fix to the ARC backend submission #789 Bugfix to raise an exception if a plugin fails to load at startup #794 Implementation of some Forward Compatibility for Ganga 6.3 #807 ganga/python/GangaLHCb Added the option to set the version of LHCbDirac and removed the old guess version code. Changed the default LHCbDirac version to v8r3p7 Fix to the old RT handlers to correctly parse the xml summary #816 Fix some minor bugs in GaudiExec with inputfiles and preparing a raw release with 'prepareGaudiExec' #822 ganga/python/Ganga/test Change to the setting of configuration options for tests #742 Fix to the LCG test #761 Fix to the Dirac test to try each SE in order until one works #773 Removal of outdated LHCb tests #782 Ensure a fresh .gangarc is being used for tests #80

Guotong Xie - One of the best experts on this subject based on the ideXlab platform.

  • making uris published on data web rdf dereferencable
    International Semantic Web Conference, 2008
    Co-Authors: Jing Mei, Shengping Liu, Guotong Xie, Yue Pan
    Abstract:

    Nowadays, more and more URIs reside on DataWeb, as published for linked open data, dereferencing URIs challenges the current Web to embrace Semantic Web. Although, quite a few practical recipes for publishing URIs have been provided to make URIs dereferencable, we believe a fundamental investigation of publishing and dereferencing URIs would contribute a Forward Compatibility with the RDF and OWL upper layers in the Semantic Web architecture. In this paper, we propose to make URIs published on Data Web RDF dereferencable, and we formalize such a requirement in an RDF-compatible semantics. Also, the dereferencing operation is defined in an abstract URI syntax, such that URIs, as interpreted as described resources, would be RDF dereferencable by default. Accompanied by a live demonstration, the poster demo explanation would elaborately discuss and seriously address issues on Data Web URIs, which were or have been taken for granted. Additionally, for case study, Metadata Web, a Data Web of enterprise-wide models, is explored. The URIs on Metadata Web is published as RDF dereferencable. Such an implementation of universal metadata management across the enterprise enables the metadata federation such that global query, search and analysis could be conducted on top of the Metadata Web.