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208 results about "Precomputation" patented technology

In algorithms, precomputation is the act of performing an initial computation before run time to generate a lookup table that can be used by an algorithm to avoid repeated computation each time it is executed. Precomputation is often used in algorithms that depend on the results of expensive computations that don't depend on the input of the algorithm. A trivial example of precomputation is the use of hardcoded mathematical constants, such as π and e, rather than computing their approximations to the necessary precision at run time.

OLAP pre-calculation model, automatic modeling method and automatic modeling system

The invention relates to an OLAP pre-calculation model, an automatic modeling method and an automatic modeling system. The model comprises a dimension module, an aggregation group module and a measurement module. The method comprises the steps of performing data statistics on all data sources to obtain a data statistics result; according to a data model given by a user and operation of performing query rehearsal on a target query, determining a business model; performing query rehearsal on a sample, and collecting query statistics; performing physical modeling, and defining dimensions, measurement and an aggregation group of the pre-calculation model; obtaining a business modeling result; and obtaining the pre-calculation model. The system comprises a data statistics module, a business model module, a query statistics module and a model building module. By adding derived dimensions and the aggregation group, the pre-calculation dimensions are combined more effectively, so that redundancy calculation and data storage are reduced; and higher calculation efficiency and smaller storage occupation are achieved, so that a better effect is achieved in big data multidimensional analysis application.
Owner:SHANGHAI KYLIGENCE INFORMATION TECH CO LTD

Big data-based online analytical processing system and method

The invention discloses a big data-based online analytical processing system and method. The system can be used for carrying out quick multi-dimensional query and analysis on data sets with different scales and levels under a Hadoop environment. A query plan selected through query, planning and estimation comprises MDX query supporting Hive and Hbase precomputation cache mechanism-based multi-dimensional query. According to the system and method, optimization of the MDX query supporting Hive data warehouses on extensible cluster nodes and of the Hbase precomputation cache mechanism-based multi-dimensional query are realized, the low-delay multi-dimensional query requirements of the data sets with different scales and levels are satisfied, and the OLAP multi-dimensional query of different OLAP data organization models under a single data source background is solved. Aiming at the performance optimization problem of Hive multi-dimensional query on large-scale data sets, an Hbase cache-based segmented layered dimensionality-reduction aggregation algorithm is proposed, and the algorithm brings MOLAP for solving the multi-dimensional query calculation of large-scale data into a big data OLAP system, so that the extendibility and effectiveness of the multi-dimensional query of data with different scales and levels under a big data background are greatly enhanced.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Multiple-input multiple-output (MIMO) signal detection method based on breadth-first tree search

The invention relates to a multiple-input multiple-output (MIMO) signal detection method based on breadth-first tree search, mainly solving the problem of high complexity of the existing MIMO detection method. The method is implemented by the following steps: (1) preprocessing a system, wherein the step comprises QR decomposition of a channel matrix and precomputation of a path metric factor; (2)using the concept of breadth-first tree search to detect signals layer by layer: 2a) using survival paths of a previous layer to expand the paths of the current layer: using a Schnorr-Euchner enumeration method to sequentially determine path expansion sequence, expansion paths and path metrics; and 2b) using a merge sorting method to sort the path metrics of the expansion paths to determine survival paths; and (3) if the detection on all layer signals is finished, taking the survival path metric corresponding to the minimum path metric as the final detection output, otherwise, transmitting the survival path to the next layer to detect the signal of the next layer. The method of the invention has the advantages of low complexity and small performance loss, and can be applied to signal detection of an MIMO receiver of a next-generation broadband wireless communication system.
Owner:XIDIAN UNIV
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