Abstract: Selecting a number of processors to run an application in order to save power is performed. A number of code segments are selected from an application. Each of the code segments are executed using two or more of a plurality of processing resource combinations. Each of the code segments are scored with a performance value. The performance value indicates a performance of each code segment using each of the two or more processing resource combinations. A selection is made of one of the two or more processing resource combinations based on an associated performance value and a number of processing resources used to execute the code segment. The application is then executed using the selected processing resource combination.

Abstract: The present invention relates to compiler generated code for parallelized code segments, wherein the generated code is used to determine if an expected number of parallel processing threads is created for a parallel processing application, in addition to determining the performance impact of using parallel threads of execution. In the event the expected number of parallel threads is not generated, notices and alerts are generated to report the thread creation problem. Further, a method is disclosed for the collection of performance metrics for N threads of execution and one thread of execution, and thereafter performing a comparison operation upon the execution threads. Notices and alerts are generated to report the resultant performance metrics for the N threads of execution versus the one thread of execution.

Abstract: Selecting a number of processors to run an application in order to save power is performed. A number of code segments are selected from an application. Each of the code segments are executed using two or more of a plurality of processing resource combinations. Each of the code segments are scored with a performance value. The performance value indicates a performance of each code segment using each of the two or more processing resource combinations. A selection is made of one of the two or more processing resource combinations based on an associated performance value and a number of processing resources used to execute the code segment. The application is then executed using the selected processing resource combination.

Abstract: The present invention relates to compiler generated code for parallelized code segments, wherein the generated code is used to determine if an expected number of parallel processing threads is created for a parallel processing application, in addition to determining the performance impact of using parallel threads of execution. In the event the expected number of parallel threads is not generated, notices and alerts are generated to report the thread creation problem. Further, a method is disclosed for the collection of performance metrics for N threads of execution and one thread of execution, and thereafter performing a comparison operation upon the execution threads. Notices and alerts are generated to report the resultant performance metrics for the N threads of execution versus the one thread of execution.

Abstract: A method, system, and computer program product enable the selective adjustment in the size of memory pages allocated from system memory. In one embodiment, the method includes, but is not limited to, the steps of: collecting profile data (e.g., the number of Translation Lookaside Buffer (TLB) misses, the number of page faults, and the time spent by the Memory Management Unit (MMU) performing page table walks); identifying the top N active processes, where N is an integer that may be user-defined; evaluating the profile data of the top N active processes within a given time period; and in response to a determination that the profile data indicates that a threshold has been exceeded, promoting the pages used by the top N active processes to a larger page size and updating the Page Table Entries (PTEs) accordingly.