Graphical user interface for managing HPC clusters

• US 20050235055A1
• Filed: 04/15/2004
• Published: 10/20/2005
• Est. Priority Date: 04/15/2004
• Status: Abandoned Application

• Current Assignee: Raytheon Company (Rtx Corporation)
• Original Assignee: Raytheon Company (Rtx Corporation)
• Inventors: Davidson, Shannon V.
• Application Number:
  US10/824,873
• Publication Number:
  US 20050235055A1
• Time in Patent Office: Days
• US Class Current: 709/223
• CPC Class Codes: G06F 9/46 Multiprogramming arrangements
• CPC Class Codes: G06F 9/50 Allocation of resources, e.g. of the central processing unit [CPU]
• CPC Class Codes: G06F 9/5066 Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs mappping at compile time, see G06F8/451
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 41/06 Management of faults, events, alarms or notifications
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]

Abstract

A method for providing a graphical user interface in a High Performance Computing (HPC) environment includes collecting information on a plurality of HPC nodes, with each node comprising an integrated fabric. A plurality of graphical elements are generated based, at least in part, on the collected information. At least a portion of the graphical elements are presented to a user.

Claims

1. A method for providing a graphical user interface in a High Performance Computing (HPC) environment comprises:

collecting information on a plurality of HPC nodes, each node comprising an integrated fabric;

generating a plurality of graphical elements based, at least in part, on the collected information; and

presenting at least a portion of the graphical elements to a user.

2. The method of claim 1, the collected information comprising physical data on each HPC node.

3. The method of claim 2, the physical data comprising one or more of the following:

processor utilization;

memory utilization;

physical location;

IP address; and

bandwidth.

4. The method of claim 1, one of the graphical elements comprising a view of a topology of the plurality of HPC nodes, the topology enabled by the integrated fabric of each node.

5. The method of claim 4, further comprising:

receiving a job submission from the user, the job submission comprising at least one parameter;

communicating the job submission to a job scheduler for dynamic allocation of a second subset of the plurality of HPC nodes; and

updating the view of the topology based on the dynamic allocation of the second subset.

6. The method of claim 5, further comprising:

communicating an interactive command to the job scheduler for an increase in size of the second subset; and

updating the view of the topology based on dynamic allocation of the increased size.

7. The method of claim 4, further comprising:

receiving a notification of a failure of one of the plurality of HPC nodes; and

updating the view of the topology based on the notification.

8. A Graphical User Interface (GUI) in a High Performance Computing (HPC) environment operable to:

collect information on a plurality of HPC nodes, each node comprising an integrated fabric;

generate a plurality of graphical elements based, at least in part, on the collected information; and

present at least a portion of the graphical elements to a user.

9. The GUI of claim 8, the collected information comprising physical data on each HPC node.

10. The GUI of claim 9, the physical data comprising one or more of the following:

processor utilization;

memory utilization;

physical location;

IP address; and

bandwidth.

11. The GUI of claim 8, one of the graphical elements comprising a view of a topology of the plurality of HPC nodes, the topology enabled by the integrated fabric of each node.

12. The GUI of claim 11, further operable to:

receive a job submission from the user, the job submission comprising at least one parameter;

communicate the job submission to a job scheduler for dynamic allocation of a second subset of the plurality of HPC nodes, the second subset comprising a substantially similar set of nodes as the first subset; and

update the view of the topology based on the dynamic allocation of the second subset.

13. The GUI of claim 12, further operable to:

communicate an interactive command to the job scheduler for an increase in size of the second subset; and

update the view of the topology based on dynamic allocation of the increased size.

14. The GUI of claim 11, further operable to:

receive a notification of a failure of one of the plurality of HPC nodes; and

update the view of the topology based on the notification.

15. A system for providing a graphical user interface in a High Performance Computing (HPC) environment comprises:

a plurality of HPC nodes, each node comprising an integrated fabric; and

a client operable to;

collect information on at least a subset of the plurality of HPC nodes;

generate a plurality of graphical elements based, at least in part, on the collected information; and

present at least a portion of the graphical elements to a user.

16. The system of claim 15, the collected information comprising physical data on each HPC node.

17. The system of claim 16, the physical data comprising one or more of the following:

processor utilization;

memory utilization;

physical location;

IP address; and

bandwidth.

18. The system of claim 15, one of the graphical elements comprising a view of a topology of the plurality of HPC nodes, the topology enabled by the integrated fabric of each node.

19. The system of claim 18, the client further operable to:

receive a job submission from the user, the job submission comprising at least one parameter;

communicate the job submission to a job scheduler for dynamic allocation of a second subset of the plurality of HPC nodes; and

update the view of the topology based on the dynamic allocation of the second subset.

20. The system of claim 19, the client further operable to:

communicate an interactive command to the job scheduler for an increase in size of the second subset; and

update the view of the topology based on dynamic allocation of the increased size.

21. The system of claim 18, the client further operable to:

receive a notification of a failure of one of the plurality of HPC nodes; and

update the view of the topology based on the notification