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    EFFICIENT HARDWARE INSTRUCTIONS FOR SINGLE INSTRUCTION MULTIPLE DATA PROCESSORS
    2.
    发明申请
    EFFICIENT HARDWARE INSTRUCTIONS FOR SINGLE INSTRUCTION MULTIPLE DATA PROCESSORS 有权
    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：US20140013078A1

    公开(公告)日：2014-01-09

    申请号：US14023265

    申请日：2013-09-10

    Applicant: Oracle International Corporation

    Inventor： Amit Ganesh ,  Shasank K. Chavan ,  Vineet Marwah ,  Jesse Kamp ,  Anindya C. Patthak ,  Michael J. Gleeson ,  Allison L. Holloway ,  Roger Macnicol

    IPC: G06F9/38

    CPC classification number: G06F9/3887 ,  G06F9/30018 ,  G06F9/30032 ,  G06F9/30036 ,  G06F9/30109 ,  G06F9/30112 ,  G06F9/3836 ,  G06F9/3842 ,  G06F9/3851 ,  G06F9/3867 ,  G06F9/3885 ,  G06F17/30315

    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。

    Efficient hardware instructions for single instruction multiple data processors
    3.
    发明授权
    Efficient hardware instructions for single instruction multiple data processors 有权
    单指令多数据处理器的高效硬件指令

    公开(公告)号：US09342314B2

    公开(公告)日：2016-05-17

    申请号：US14023265

    申请日：2013-09-10

    Applicant: Oracle International Corporation

    Inventor： Amit Ganesh ,  Shasank K. Chavan ,  Vineet Marwah ,  Jesse Kamp ,  Anindya C. Patthak ,  Michael J. Gleeson ,  Allison L. Holloway ,  Roger Macnicol

    IPC: G06F9/30 ,  G06F9/38 ,  G06F17/30

    CPC classification number: G06F9/3887 ,  G06F9/30018 ,  G06F9/30032 ,  G06F9/30036 ,  G06F9/30109 ,  G06F9/30112 ,  G06F9/3836 ,  G06F9/3842 ,  G06F9/3851 ,  G06F9/3867 ,  G06F9/3885 ,  G06F17/30315

    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
    4.
    发明授权
    Techniques for maintaining column vectors of relational data within volatile memory 有权
    维护易失性存储器中关系数据列向量的技术

    公开(公告)号：US09201944B2

    公开(公告)日：2015-12-01

    申请号：US13916284

    申请日：2013-06-12

    Applicant: Oracle International Corporation

    Inventor： Lawrence J. Ellison ,  Amit Ganesh ,  Vineet Marwah ,  Jesse Kamp ,  Anindya C. Patthak ,  Shasank K. Chavan ,  Michael J. Gleeson ,  Allison L. Holloway ,  Manosiz Bhattacharyya

    IPC: G06F17/30 ,  G06F15/82

    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。

    Techniques for more efficient usage of memory-to-CPU bandwidth
    8.
    发明授权
    Techniques for more efficient usage of memory-to-CPU bandwidth 有权
    更有效地利用内存到CPU带宽的技术

    公开(公告)号：US08572131B2

    公开(公告)日：2013-10-29

    申请号：US13708054

    申请日：2012-12-07

    Applicant: Oracle International Corporation

    Inventor： Lawrence J. Ellison ,  Amit Ganesh ,  Vineet Marwah ,  Jesse Kamp ,  Anindya C. Patthak ,  Shasank K. Chavan ,  Michael J. Gleeson ,  Allison L. Holloway ,  Manosiz Bhattacharyya

    IPC: G06F12/00

    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。

    TECHNIQUES FOR MORE EFFICIENT USAGE OF MEMORY-TO-CPU BANDWIDTH
    9.
    发明申请
    TECHNIQUES FOR MORE EFFICIENT USAGE OF MEMORY-TO-CPU BANDWIDTH 有权
    更高效地使用存储器到CPU带宽的技术

    公开(公告)号：US20130151567A1

    公开(公告)日：2013-06-13

    申请号：US13708054

    申请日：2012-12-07

    Applicant: Oracle International Corporation

    Inventor： Lawrence J. Ellison ,  Amit Ganesh ,  Vineet Marwah ,  Jesse Kamp ,  Anindya C. Patthak ,  Shasank K. Chavan ,  Michael J. Gleeson ,  Allison L. Holloway ,  Manosiz Bhattacharyya

    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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