Oracle International Corporation

Workday, Inc.

Qualcomm Incorporated

Kishore Kumar Pusukuri

Robert David Gardner

Darrin Paul Johnson

David Vengerov

Eric Christopher Saxe

Gheorghe Calin Cascaval

Anant Rao

Michael Weber

Alexandra Fedorova

A system for outlier detection and removal comprises an interface and a processor. The interface is configured to receive a data set. The processor is configured to determine a cleaned data set by removing outliers, wherein determining the cleaned data set comprises determining a type of distribution, in response to the type of distribution being normal, determining the outliers using covariance estimation, in response to the type of distribution not being normal, determining the outliers using density based clustering, and determining the cleaned data set by removing the outliers from the data set, determine a coefficient of variation of the cleaned data set, determine whether the coefficient of variation is greater than a threshold coefficient of variation, and in response to the coefficient of variation being greater than the threshold coefficient of variation, determine a new cleaned data set by removing a new set of outliers from the cleaned data set.

Outlier identification and removal

Techniques herein perform coprocessor assisted memory filling in a pipeline. A computer receives a request to fill multiple ranges of memory addresses with a value. The computer selects a first subset of the multiple ranges and distributes the first subset of ranges to multiple coprocessors. The coprocessors begin to fill the memory locations of the first subset of ranges with the value. At the same time as the coprocessors fill the first subset of ranges, the computer selects a second subset of the multiple ranges of memory addresses. Also while the coprocessors are still filling the first subset of ranges, the computer distributes the second subset of ranges to the coprocessors This overlapping activity achieves a processing pipeline that can be extended for any amount of additional subsets of memory ranges.

Performance of coprocessor assisted memset( ) through heterogeneous computing

Performance of coprocessor assisted memset() through heterogeneous computing

In general, the invention relates to a non-transitory computer readable medium comprising instructions, which when executed by a processor perform a method. The method includes obtaining lock overhead times for a plurality of threads, generating a set of thread groups, wherein each of the plurality of threads is assigned to one of the plurality of thread groups based on the lock overhead times, allocating at least one core of a multi-core system to each of the plurality of thread groups, and assigning a time-quantum for each of the plurality of thread groups, wherein the time-quantum for each of the plurality of thread groups corresponds to an amount of time that threads in each of the plurality of thread groups can execute on the at least one allocated core.

Method and apparatus for efficient scheduling of multithreaded programs

The disclosed embodiments provide a system that facilitates scheduling threads in a multi-threaded processor with multiple processor cores. During operation, the system executes a first thread in a processor core that is associated with a shared cache. During this execution, the system measures one or more metrics to characterize the first thread. Then, the system uses the characterization of the first thread and a characterization for a second, second thread to predict a performance impact that would occur if the second thread were to simultaneously execute in a second processor core that is also associated with the cache. If the predicted performance impact indicates that executing the second thread on the second processor core will improve performance for the multi-threaded processor, the system executes the second thread on the second processor core.

Cache-aware thread scheduling in multi-threaded systems

Growing community of inventors

Santa Clara, CA, United States of America

Kishore Kumar Pusukuri