30 results about "Vector size" patented technology

One embodiment of the present invention provides a processor that is configured to execute load-swapped-partial instructions. An instruction fetch unit within the processor is configured to fetch the load-swapped-partial instruction to be executed. Note that the load-swapped-partial instruction specifies a source address in a memory, which is possibly an unaligned address. Furthermore, an execution unit within the processor is configured to execute the load-swapped-partial instruction. This involves loading a partial-vector-sized datum from a naturally-aligned memory region encompassing the source address. While loading the partial-vector-sized datum, bytes of the partial-vector-sized datum are rotated to cause the byte at the specified source address to reside at the least-significant byte position within the partial-vector-sized datum for a little-endian memory transaction, or to cause the byte to be positioned at the most-significant byte position within the partial-vector-sized datum for a big-endian memory transaction.

An intermediate network node is configured to forward a plurality of packets concurrently, e.g., as a vector, rather than one packet at a time. As such, the node can load a single sequence of forwarding instructions that may be repeatedly executed for packets in the vector. In addition, the intermediate network node adaptively controls the rate at which it processes data packets through a directed forwarding graph. To that end, the intermediate node is configured to dynamically select the number of packets per vector, i.e., vector size, processed at each node of the forwarding graph. Further, the intermediate node also may be configured to dynamically select timing intervals for one or more “node timers” used to control the rate at which packets traverse through the graph. Illustratively, the vector size and node-timer intervals are selected so that the average latency through the forwarding graph is less than a predetermined target latency, e.g., 50 microseconds (μs).

Processing circuitry performs a plurality of lanes of processing on respective data elements of at least one operand vector to generate corresponding result data elements of a result vector. The processing circuitry identifies lane position information for each lane of processing, the lane position information for a given lane identifying a relative position of the corresponding result data element to be generated by the given lane within a corresponding result data value spanning one or more result data elements of the result vector. The processing circuitry is configured to perform each lane of processing in dependence on the lane position information identified for that lane. This enables generation of results which are wider or narrower than the vector size supported in hardware.

A software wrapper for interfacing to pre-existing software code is provided. The software wrapper is capable of inheriting from a first application program interface (API) and a second API. For calls to the first API, the software wrapper delegates to a pre-existing enumeration of objects. The wrapper creates a vector identifying elements of the enumeration. Iterators provided by the wrapper maintain positional cursors for calls to the second API. A comparison is made between each of the positional cursors and the vector. If a positional cursor exceeds the size of the vector, additional elements are extracted from the enumeration, placed in the vector, and returned on the second API. Otherwise, if the positional cursor is smaller than the vector size, the wrapper delegates directly to the vector. The first API can be a java-based enumeration API and the second API can be a java-based collection API.

System and method embodiments are provided for adaptive vector size selection for vectorized query execution. The adaptive vector size selection is implemented in two stages. In a query planning stage, a suitable vector size is estimated for a query by a query planner. The planning stage includes analyzing a query plan tree, segmenting the tree into different segments, and assigning to the query execution plan an initial vector size to each segment. In a subsequent query execution stage, an execution engine monitors hardware performance indicators, and adjusts the vector size according to the monitored hardware performance indicators. Adjusting the vector size includes trying different vector sizes and observing related processor counters to increase or decrease the vector size, wherein the vector size is increased to improve hardware performance according to the processor counters, and wherein the vector size is decreased when the processor counters indicate a decrease in hardware performance.

The invention discloses an FOG feature and FAST algorithm-based eyes positioning method. The method comprises the following steps of: loading a trained SVM model file; obtaining the ith frame image to be positioned, and copying an image midImage; preprocessing the image midImage; carrying out facula detection by using a FAST algorithm, and obtaining a candidate area center point coordinate vector points; sequentially judging whether a candidate area is an eye area or not, and obtaining eye area center point vector pointsTru; screening points in the vector pointsTru so as to obtain an eye area center point vector, the final return vector of which is 2 for the most; if only one eye is detected, carrying out repair; and returning an eye area center point vector pointsFnl, traversing the vector pointsFnl, and intercepting a rectangular area which takes the pointsFnl as center to serve as an eye area. The method is capable of stably adapting to the environment change, and is relatively high in environment robustness and correctness and relatively low in false alarm rate.

The invention relates to a three-dimensional color coding display method for myocardial blood volume distribution, through which the blood volume distribution information of electrocardiosignals is converted and displayed on a visual three-dimensional color model. The method is characterized in that a 12-lead electrocardiogram (ECG) of a human body is collected, and the myocardial blood volume distribution information of the ECG, i.e. ST-segment deviation, is extracted; in a cardiac electric axis system, the total electrocardial damage vector is obtained through the adverse projection of the ST-segment damage vector of each lead; a standard three-dimensional heart model is established, the central position of an area where the blood volume is scarcely distributed is the joint of the total damage vector and the surface of the heart model, the distribution range is proportional to the total damage vector, and RGB (red, green and blue) coding is carried out according to the different distances between all the positions and the center of the area where the blood volume is scarcely distributed, so as to display the myocardial blood volume distribution on the surface of the heart model.

Provided is a method and apparatus for receiving a signal for a MIMO system. The receiving apparatus includes: a QR decomposer for calculating a unitary matrix Q, an upper triangle matrix R, and a vector size for a received signal; a multiple dimension detector for calculating a first LLR for an output of the QR decomposer through multiple dimension detection; an inverse matrix and weight calculator for calculating an inverse matrix for the upper triangle matrix R and a weight; an interference remover for regenerating a symbol for a demodulated data stream using the fist LLR and removing interference from an output vector of the QR decomposer using the regenerated symbol; and a weight zero forcing unit for performing zero forcing on the interference removed output vector from the interference remover using the inverse matrix of the upper triangle matrix R and the weight and calculating a second LLR.

The invention discloses a deep learning pattern recognition method of a vector kernel convolutional neural network, the method comprising: (1) designing the structure of the vector kernel convolutional neural network, including an input layer, a convolutional layer, and at least one fully connected layer , and the output layer of the soft-max classifier; where the input is an image of size m×n, the kernels of layer l are vectors of size pl×1 or vectors of size 1×ql, and Nl represents the size of layer l The number of convolution kernels; select the values ​​of pl (or ql) and Nl based on experience, the convolution operation step size of the l layer is sl (sl≥1), and the activation function is selected as a corrected linear unit; (2) set The number of iterations of the convolutional neural network, select the cost function, and use the training samples {(x1,y1),...,(xD,yD)} to learn the parameters of the vector kernel convolutional neural network according to the backpropagation algorithm;( 3) Judging whether the number of iterations is completed, if not, continue training; if the number of iterations is completed, input the test sample into the trained network model for testing, and obtain the test result.

The invention relates to a multi-level topic vector space construction method and device, an apparatus and a storage medium. The construction method comprises the following steps of extracting a global word co-occurrence matrix from a corpus; modeling the global word co-occurrence matrix, generating topic libraries of different levels, and respectively generating the topic correlation matrixes ofdifferent levels according to the topic libraries of different levels; and constructing a topic vector space for the topic correlation matrix of each level. Therefore, a topic can be expressed as thetopic vector of any dimension, and the defect that the vector size of the algorithms, such as LDA, etc., can only be the dictionary dimension, is avoided; meanwhile, based on the modeling of the noisewords, the influence of the noise words on clustering can be weakened.

The invention relates to a vector slide rule set, and belongs to the technical field of teaching instruments. The slide rule set is mainly composed of a main rule and an auxiliary rule, and comprisesa rule head, a rule body, a rule tail, a thin steel wire, a short screw, a sliding block, a flexible rule box and the like. The vector size represented by the unit length can be specified according toactual needs; and not only force synthesis demonstration but also synthesis operation of vectors such as speed, displacement and the like can be carried out. The slide rule set can intuitively read out an included angle between the vectors and calculate out the size of a resultant vector without complicated calculation, also can be used as a ruler to measure the length, and is simple to operate and is intuitive and convenient.