40 results about "Denormalization" patented technology

A schema modeler for generating an efficient database schema. Provides intelligent choices for schema structure, generates efficient schemas while minimizing the amount of experience required by a database designer. Architectural elements of a schema design are proposed based on field inputs such as field type or relationship. Schema information is manually entered or imported. Configured for structural compatibility and semantic compatibility checking on fields and relationships for data integrity due to nested structure denormalization, inspection of lookup tables that can hold an unlimited number of records, inspection of taxonomy defined on a non-main table, and inspection of the schema for the existence of a main table. Provide suggested field types or schema structures that allow for a more efficient schema to be generated. Field types may include qualifier, multi-lingual, calculation and may include family or attribute table suggestions as well. Generation of validations and data profiling ensure efficient results.

An indexing system for graph data. In particular implementations, the indexing system provides for denormalization and replica index functionality to improve query performance.

Methods and apparatus are provided for efficiently normalizing and denormalizing data for cryptography processing. The normalization and denormalization techniques can be applied in the context of a cryptography accelerator coupled with a processor. Hardware normalization techniques are applied to data prior to cryptography processing. Context circuitry tracks the shift amount used for normalization. After cryptography processing, the processed data is denormalized using the shift amount tracked by the context circuitry.

Methods and apparatus are disclosed for handling floating point exceptions in a processor that executes single-instruction multiple-data (SIMD) instructions. In one embodiment a numerical exception is identified for a SIMD floating point operation and SIMD micro-operations are initiated to generate two packed partial results of a packed result for the SIMD floating point operation. A SIMD denormalization micro-operation is initiated to combine the two packed partial results and to denormalize one or more elements of the combined packed partial results to generate a packed result for the SIMD floating point operation having one or more denormal elements. Flags are set and stored with packed partial results to identify denormal elements. In one embodiment a SIMD normalization micro-operation is initiated to generate a normalized pseudo internal floating point representation prior to the SIMD floating point operation when it uses multiplication.

In a denormal support mode, the normalization circuit of a floating-point adder is used to normalize or denormalized the output of a floating-point multiplier. Each floating-point multiply instruction is speculatively converted to a multiply-add instruction, with the addend forced to zero. This preserves the value of the product, while normalizing or denormalizing the product using the floating-point adder's normalization circuit. When the operands to the multiply operation are available, they are inspected. If the operands will not generate an unnormal intermediate product or a denormal final product, the add operation is suppressed, such as by operand-forwarding. Additionally, each non-fused floating-point multiply-add instruction is replaced with a multiply-add instruction having a zero addend, and a floating-point add instruction having the addend of the original multiply-add instruction is inserted into the instruction stream. Upon inspection of the operands, if an unnormal intermediate result or a denormal final result will not occur, the addend may be restored to the multiply-add instruction and the add instruction converted to a NOP.

The present invention relates to a control device for a machine tool performing oscillation cutting. The control device for a machine tool includes an oscillation command generation part which generates an oscillation command for a fees axis, a first adding part which adds an oscillation command to a position deviation between a position command and the detected position of the fees axis to generate a resultant command, a normalization part for normalizing the resultant command, a learning control part that obtains a correction amount of the resultant command based on an oscillation phase obtained from the oscillation command and a normalized resultant command and which adds the correction amount to the resultant command, a denormalization part which denormalizes an output from the learning control part, and a second adding part for adding a denormalized output from the denormalization part to the resultant command.

The invention relates to a method for migrating data from a non-relational database to a relational database. The method comprises the following steps: connecting the non-relational database needing data migration, and obtaining table information in the database; selecting a table needing data migration and a database mode definition method, wherein the selectable database mode definition method comprises user definition, union set compatibility, intersection compatibility, and first article data; guiding the information from the non-relational database to a defined xml document; converting the database design mode of the non-relational database to a design mode of the corresponding relational database; connecting the corresponding relational database, and setting up a corresponding data table according to the database design mode in the xml document; setting up a corresponding index according to index information in the index element. The method for migrating data solves the problems of a denormalization design, non-modeling and special data types when data are migrated from the non-relational database (such as a MonogDB) to the relational database.