International Business Machines Corporation

Lenovo (singapore) Pte. Ltd.

Francois Thomas

Rajendra D Panda

Luigi Brochard

Robert H Bell, Jr

Donald R DeSota

Pascal Vezolle

Nicolas Tallet

Eric Michel

Disclosed is a method for scheduling applications for a clustered computer system having a plurality of computers and at least one resource, the clustered computer system executing one or more applications. A method includes: monitoring hardware counters in at least one of the resources and the plurality of computers of the clustered computer system for each of the applications; responsive to said monitoring, determining the utilization of at least one of the resources and the plurality of computers of the clustered computer system by each of the applications; for each of the applications, storing said utilization of at least one of the resource and plurality of computers of the clustered computer system; and upon receiving a request to schedule an application on one of said computers, scheduling a computer to execute the application based on stored utilization for the application and stored utilizations of other applications executing on the computers.

Scheduling applications in a clustered computer system

A method, system, and computer program product for processing an application in a high performance computing (HPC) data center are described. The method includes analyzing and sorting a plurality of nodes in a cluster of the HPC data center into a plurality of frequency bins, each of the plurality of nodes being sorted into more than one of the plurality of frequency bins based on performance. The method also includes analyzing and sorting the application into an application bin among a plurality of application bins based on a frequency scaling characteristic of the application. The method further includes selecting a first set of nodes among the plurality of nodes to process the application, the first set of nodes being sorted into a first frequency bin among the plurality of frequency bins corresponding with the application bin of the application.

Performance-aware job scheduling under power constraints

A job scheduler can select a processor core operating frequency for a node in a cluster to perform a job based on energy usage and performance data. After a job request is received, an energy aware job scheduler accesses data that specifies energy usage and job performance metrics that correspond to the requested job and a plurality of processor core operating frequencies. A first of the plurality of processor core operating frequencies is selected that satisfies an energy usage criterion for performing the job based, at least in part, on the data that specifies energy usage and job performance metrics that correspond to the job. The job is assigned to be performed by a node in the cluster at the selected first of the plurality of processor core operating frequencies.

Energy-aware job scheduling for cluster environments

Growing community of inventors

Alencon, France

Francois Thomas