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    TECHNIQUES FOR MORE EFFICIENT USAGE OF MEMORY - TO - CPU BANDWIDTH
    2.
    发明申请
    TECHNIQUES FOR MORE EFFICIENT USAGE OF MEMORY - TO - CPU BANDWIDTH 审中-公开
    更高效地使用存储器的技术 - 对于CPU带宽

    公开(公告)号：WO2013086380A1

    公开(公告)日：2013-06-13

    申请号：PCT/US2012/068526

    申请日：2012-12-07

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： ELLISON, Lawrence J. ,  GANESH, Amit ,  MARWAH, Vineet ,  KAMP, Jesse ,  PATTHAK, Anindya C. ,  CHAVAN, Shasank K. ,  GLEESON, Michael J. ,  HOLLOWAY, Allison L. ,  BHATTACHARYYA, Manosiz

    IPC: G06F17/30

    CPC classification number: G06F17/30315 ,  G06F9/3887 ,  G06F17/30339 ,  G06F17/30595

    Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

    Abstract translation: 在执行数据库操作期间，提供了技术来更有效地使用CPU和易失性存储器之间的I / O路径的带宽。 来自关系表的关系数据作为列向量存储在易失性存储器中，其中每个列向量包含表的特定列的值。 可以使用二进制可比较的格式来表示列向量中的每个值，而不管与列相关联的数据类型如何。 列向量可以在易失性存储器中被压缩和/或编码，并且在CPU内部实时解压缩/解码。 或者，CPU可以被设计为直接对压缩和/或编码的列向量数据执行操作。 另外，描述使CPU能够对列向量值执行向量处理操作的技术。

    EFFICIENT HARDWARE INSTRUCTIONS FOR SINGLE INSTRUCTION MULTIPLE DATA PROCESSORS
    4.
    发明申请
    EFFICIENT HARDWARE INSTRUCTIONS FOR SINGLE INSTRUCTION MULTIPLE DATA PROCESSORS 审中-公开
    高效的硬件指令，用于单个指令多个数据处理器

    公开(公告)号：WO2014150913A2

    公开(公告)日：2014-09-25

    申请号：PCT/US2014/024523

    申请日：2014-03-12

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： GANESH, Amit ,  CHAVAN, Shasank K. ,  MARWAH, Vineet ,  KAMP, Jesse ,  PATTHAK, Anindya C. ,  GLEESON, Michael J. ,  HOLLOWAY, Allison L. ,  MACNICOL, Roger

    CPC classification number: G06F9/30018 ,  G06F9/30014 ,  G06F9/30021 ,  G06F9/30025 ,  G06F9/30032 ,  G06F9/30036

    Abstract: A method and apparatus for efficiently processing data in various formats in a single instruction multiple data ("SIMD") architecture is presented. Specifically, a method to unpack a fixed-width bit values in a bit stream to a fixed width byte stream in a SIMD architecture is presented. A method to unpack variable-length byte packed values in a byte stream in a SIMD architecture is presented. A method to decompress a run length encoded compressed bit-vector in a SIMD architecture is presented. A method to return the offset of each bit set to one in a bit-vector in a SIMD architecture is presented. A method to fetch bits from a bit-vector at specified offsets relative to a base in a SIMD architecture is presented. A method to compare values stored in two SIMD registers is presented.

    Abstract translation: 提出了一种在单指令多数据（“SIMD”）结构中有效处理各种格式的数据的方法和装置。 具体地说，提出了一种在SIMD架构中将位流中的固定宽度位值解包为固定宽度字节流的方法。 介绍了一种解码SIMD架构中字节流中可变长度字节打包值的方法。 提出了一种在SIMD架构中解压缩运行长度编码的压缩位向量的方法。 提出了一种在SIMD架构中将位设置为1的偏移量返回到位向量中的方法。 提出了一种从SIMD架构中相对于基址指定的偏移量从位向量获取位的方法。 提出了一种比较存储在两个SIMD寄存器中的值的方法。

    TECHNIQUES FOR MAINTAINING COLUMN VECTORS OF RELATIONAL DATA WITHIN VOLATILE MEMORY
    5.
    发明申请
    TECHNIQUES FOR MAINTAINING COLUMN VECTORS OF RELATIONAL DATA WITHIN VOLATILE MEMORY 审中-公开
    维护相关数据在波形存储器中的列向量的技术

    公开(公告)号：WO2013086384A1

    公开(公告)日：2013-06-13

    申请号：PCT/US2012/068531

    申请日：2012-12-07

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： ELLISON, Lawrence J. ,  GANESH, Amit ,  MARWAH, Vineet ,  KAMP, Jesse ,  PATTHAK, Anindya C. ,  CHAVAN, Shasank K. ,  GLEESON, Michael J. ,  HOLLOWAY, Allison L. ,  BHATTACHARYYA, Manosiz

    IPC: G06F17/30

    CPC classification number: G06F17/30315 ,  G06F9/3887 ,  G06F17/30339 ,  G06F17/30595

    Abstract: Techniques are provided for more efficiently using the bandwidth of the I/O path between a CPU and volatile memory during the performance of database operation. Relational data from a relational table is stored in volatile memory as column vectors, where each column vector contains values for a particular column of the table. A binary-comparable format may be used to represent each value within a column vector, regardless of the data type associated with the column. The column vectors may be compressed and/or encoded while in volatile memory, and decompressed/decoded on-the-fly within the CPU. Alternatively, the CPU may be designed to perform operations directly on the compressed and/or encoded column vector data. In addition, techniques are described that enable the CPU to perform vector processing operations on the column vector values.

    Abstract translation: 在执行数据库操作期间，提供了技术来更有效地使用CPU和易失性存储器之间的I / O路径的带宽。 来自关系表的关系数据作为列向量存储在易失性存储器中，其中每个列向量包含表的特定列的值。 可以使用二进制可比较的格式来表示列向量中的每个值，而不管与列相关联的数据类型如何。 列向量可以在易失性存储器中被压缩和/或编码，并且在CPU内部实时解压缩/解码。 或者，CPU可以被设计为直接对压缩和/或编码的列向量数据执行操作。 另外，描述使CPU能够对列向量值执行向量处理操作的技术。

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