Abstract: 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.

Abstract: 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.

Abstract: The aspects include systems and methods of managing processor device power consumption. A processor may determine a thread execution metric for each of a plurality of threads scheduled for execution in a processor comprising a plurality of processing cores. The processor may allocate to a selected processing core or cores those threads whose thread execution metric satisfies a threshold. The processor may reduce a frequency of the selected processing core or cores to reduce the power consumption.

Abstract: 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.

Abstract: 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.

Abstract: 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.