Abstract: Embodiments of the invention relate to dynamically assessing and managing probing of a system for resource availability. A predicted resource usage pattern is acquired, and critical points in the pattern pertaining to predicted changes in resource consumption are identified. Probing the system for resource availability is limited to the identified critical points, or to real-time changes in the resource usage pattern.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems. In one embodiment, inadequate system resources and failure of a job execution on the computing system may be predicted. A determination may be made as to whether inadequate resources exist prior to execution of the job, and resource requirements may be monitored to detect in real time if inadequate resources will be encountered during the job execution for cases where, for example, resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the job may be paused and corrective action may be taken or a user may be alerted. The job may resume after the resource deficiency is met. Additional embodiments may integrate resource monitoring with the adaptive selection of a computer system or application execution environment based on resource capability predictions and benchmarks.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems are disclosed herein. In one embodiment, a real time, self-predicting job resource monitor is employed to predict inadequate system resources on the computing system and failure of a job execution on the computing system. This monitor may not only determine if inadequate resources exist prior to execution of the job, but may also detect in real time if inadequate resources will be encountered during the execution of the job for cases where resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the system may pause the job and automatically take corrective action or alert a user. The job may resume after the resource deficiency is met.

Abstract: Embodiments of the invention relate to dynamically assessing and managing probing of a system for resource availability. A predicted resource usage pattern is acquired, and critical points in the pattern pertaining to predicted changes in resource consumption are identified. Probing the system for resource availability is limited to the identified critical points, or to real-time changes in the resource usage pattern.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: A manage-analyze-plan-execute (MAPE) loop is performed on a system-wide basis in relation to subsystems of a computing system based on one or more parameters. Performing the MAPE loop results in a performance level at which each subsystem is to operate to conserve energy utilization on the system-wide basis such that the computing system still satisfies the parameters. The subsystem the performance level at which each subsystem is to operate is communicated to the subsystem. Each subsystem operates at the performance level communicated to the subsystem.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems. In one embodiment, inadequate system resources and failure of a job execution on the computing system may be predicted. A determination may be made as to whether inadequate resources exist prior to execution of the job, and resource requirements may be monitored to detect in real time if inadequate resources will be encountered during the job execution for cases where, for example, resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the job may be paused and corrective action may be taken or a user may be alerted. The job may resume after the resource deficiency is met. Additional embodiments may integrate resource monitoring with the adaptive selection of a computer system or application execution environment based on resource capability predictions and benchmarks.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: Techniques used to enhance the execution of long-running or complex software application instances and jobs on computing systems are disclosed herein. In one embodiment, a real time, self-predicting job resource monitor is employed to predict inadequate system resources on the computing system and failure of a job execution on the computing system. This monitor may not only determine if inadequate resources exist prior to execution of the job, but may also detect in real time if inadequate resources will be encountered during the execution of the job for cases where resource availability has unexpectedly decreased. If a resource deficiency is predicted on the executing computer system, the system may pause the job and automatically take corrective action or alert a user. The job may resume after the resource deficiency is met.

Abstract: A compiler utility assigns memory locations to alias-free variables within a computer program. The compiler utility allocates memory keys for the alias-free variables, such that access to the memory locations of the alias-free variables is granted to blocks of code that have knowledge of the memory keys. In response to a command by the user, the compiler generates code to detect violations of alias assumptions during execution of the computer program. During the compiling process, the compiler adds the generated code for detecting violations of alias assumptions to the compiled computer program.

Abstract: An automated resource allocation technique for scheduling a batch computer job in a multi-computer system environment. According to example embodiments, resource allocation processing may be performed when receiving a batch computer job that needs to be run by a software application executable on more than one computing system in the multi-computer system environment. The job may be submitted for pre-processing analysis by the software application. A pre-processing analysis result comprising job evaluation information may be received from the software application and the result may be evaluated to select a computing system in the multi-computer system environment that is capable of executing the application to run the job. The job may be submitted to the selected computing system to have the software application run the job to completion.

Abstract: A manage-analyze-plan-execute (MAPE) loop is performed on a system-wide basis in relation to subsystems of a computing system based on one or more parameters. Performing the MAPE loop results in a performance level at which each subsystem is to operate to conserve energy utilization on the system-wide basis such that the computing system still satisfies the parameters. The subsystem the performance level at which each subsystem is to operate is communicated to the subsystem. Each subsystem operates at the performance level communicated to the subsystem.

Abstract: A method of detecting incorrect alias assumptions. A compiler utility assigns memory locations to alias-free variables, which a user asserts do not have aliases, within a computer program. The compiler utility allocates memory keys for the alias-free variables, such that access to the memory locations of the alias-free variables is granted to blocks of code that have knowledge of the memory keys. In response to a command by the user, the compiler generates code to detect violations of alias assumptions during execution of the computer program. During the compiling process, the compiler adds the generated code for detecting violations of alias assumptions to the compiled program code.

Abstract: A method, system, and computer-usable medium for visually representing resource usage in a multi-node data processing system. According to a preferred embodiment of the present invention a graphical user interface (GUI) stored in system memory visually expresses the multi-node data processing system as a collection of cubes, where each cube among the collection of cubes represents at least one node within the multi-node data processing system. The GUI specifies a currently-running application to measure a level of resources utilized by the currently-running application. The GUI indicates a type of resource information to be displayed and display the indicated type of resource information related to the currently-running application utilizing the collection of cubes.