Sas Institute Inc.

Infineon Technologies Ag

Infineon Technologies North America Corp.

Tao Wang

David SuitWai Ma

Xinmin Wu

James J Dietz

Bing Ren

Xu Chen

Xunlei Wu

Xiangqian Hu

Thoai-Thai Le

Scott Russell Pope

Guenter Gerstmeier

A computing device computes a quantile value for a variable value extracted from an event block object by computing a bin number for the variable value. If the computed bin number is between a before bin number and an after bin number computed for a quantile, the quantile is identified. Frequency data is updated to include the extracted variable value as a key value. A frequency value associated with the key value indicates a number of occurrences of the variable value in previously processed data. A cumulative rank value of the identified quantile is updated. A quantile adjustment value is computed based on a comparison between the variable value and a current quantile value of the identified quantile. An updated quantile value associated with the identified quantile is computed using the updated frequency data, the computed quantile adjustment value, and the updated cumulative rank value of the identified quantile.

Analytic system for streaming quantile computation

A computing device computes a quantile value. A maximum value and a minimum value are computed for unsorted variable values to compute an upper bin value and a lower bin value for each bin of a plurality of bins. A frequency counter is computed for each bin by reading the unsorted variable values a second time. A bin number and a cumulative rank value are computed for a quantile. When an estimated memory usage value exceeds a predefined memory size constraint value, a subset of the plurality of bins are split into a plurality of bins, the frequency counter is recomputed for each bin, and the bin number and the cumulative rank value are recomputed. Frequency data is computed using the frequency counters. The quantile value is computed using the frequency data and the cumulative rank value for the quantile and output.

Analytic system for fast quantile computation with improved memory consumption strategy

A computing device computes a quantile value. A maximum value and a minimum value are computed for unsorted variable values. An upper bin value and a lower bin value are computed for each bin of a plurality of bins using the maximum and minimum values. A frequency counter is computed for each bin by reading the unsorted variable values a second time. Each frequency counter is a count of the variable values within a respective bin. A bin number and a cumulative rank value are computed for a quantile. The bin number identifies a specific within which a quantile value associated with the quantile is located. The cumulative rank value identifies a cumulative rank for the quantile value associated with the quantile. Frequency data is computed using the frequency counters. The quantile value is computed using the frequency data and the cumulative rank value for the quantile and output.

Analytic system for fast quantile computation

A computing device predicts occurrence of an event or classifies an object using distributed unlabeled data. Supervised data that includes a labeled subset of a plurality of observation vectors is identified. A total number of threads that will perform labeling of an unlabeled subset of the plurality of observation vectors is determined. The identified supervised data is uploaded to each thread of the total number of threads. Unlabeled observation vectors are randomly select from the unlabeled subset of the plurality of observation vectors to allocate to each thread of the total number of threads. The randomly selected, unlabeled observation vectors are uploaded to each thread of the total number of threads based on the allocation. The value of the target variable for each observation vector of the unlabeled subset of the plurality of observation vectors is determined based on a converged classification matrix and output to a labeled dataset.

Distributed event prediction and machine learning object recognition system

A computing device predicts occurrence of an event or classifies an object using semi-supervised data. A label set defines permissible values for a target variable. A value of the permissible values is defined for a subset of observation vectors. A predefined number of times, a distance matrix is computed that defines a distance value between pairs of observation vectors using a distance function and a converged classification matrix; a number of observation vectors is selected that have minimum values for the distance value; a label is requested and a response is received for each of the selected observation vectors; the value of the target variable is updated for each of the selected observation vectors with the received response; and the value of the target variable is determined again by recomputing the converged classification matrix. The value of the target variable for each observation vector is output to a second dataset.

Event prediction and object recognition system

A testing system or method compares read data from one or more dies in a semiconductor wafer with the original data written onto the one or more dies. The testing system includes one or more write registers connected to one or more dies on the semiconductor wafer. One or more comparators are connected to the dies and the write registers. The comparator generates a result in response to the original data and the read data.

System and method for testing one or more dies on a semiconductor wafer

A testing system or method compares read data from one or more dies in a semiconductor wafer with the original data written onto the one or more dies The testing system includes one or more write registers connected to one or more dies on the semiconductor wafer. One or more comparators are connected to the dies and the write registers. The comparator generates a result in response to the original data and the read data.

A cooling hood for a circuit board is provided. The circuit board includes at least one semiconductor device. The cooling hood includes a duct mounted onto the circuit board and surrounding at least a portion of the semiconductor device. The duct forms an inlet and an outlet. A cooling medium enters the duct through the inlet and exits the duct through the outlet.

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Cary, NC, United States of America

Tao Wang