SYSTEM AND METHOD FOR PARALLEL STREAM PROCESSING

• US 20100205611A1
• Filed: 10/29/2009
• Published: 08/12/2010
• Est. Priority Date: 02/12/2009
• Status: Abandoned Application

• Current Assignee: Scalable Analytics Incorporated
• Original Assignee: Scalable Analytics Incorporated
• Inventors: Wagner, Alan Shelton, Rostoker, Camilo Ellis
• Application Number:
  US12/608,501
• Publication Number:
  US 20100205611A1
• Time in Patent Office: Days
• US Class Current: 719/313
• CPC Class Codes: G06F 9/524 Deadlock detection or avoidance
• CPC Class Codes: G06F 9/546 Message passing systems or structures, e.g. queues

Abstract

We describe the design of a lightweight library using MPI to support stream-processing on acyclic process structures. The design can be used to connect together arbitrary modules where each module can be its own parallel MPI program. We make extensive use of MPI groups and communicators to increase the flexibility of the library, and to make the library easier and safer to use. The notion of a communication context in MPI ensures that libraries do not conflict where a message from one library is mistakenly received by another. The library is not required to be part of any larger workflow environment and is compatible with existing MPI execution environments. The library is part of MarketMiner, a system for executing financial workflows.

Claims

1. A computer implemented system for parallel processing which includes at least one process group which, during execution of the parallel process, includes:

(a) a first digital data stream generated by a first process;

(b) a second digital data stream generated by a second process; and

,

(c) a third process for controllably receiving said first and second data streams and in response thereto generating a third digital data stream,

wherein said first, second and third processes are defined by a common unique communication context associated with said at least one group.

2. The system according to claim 1, wherein the system can be represented by a conflict graph wherein each node in said graph is tagged to avoid deadlock in the system.

3. The system according to claim 1, further comprising a plurality of said process groups, each group having a communication context distinct from the other groups.

4. The system according to claim 1, further comprising a plurality of said first processes each having an associated first context, and wherein said third process uses a said first context to distinguish between individual ones of said first processes.

5. The system according to claim 1, wherein said system comprises a display for displaying said third data stream in real time.

6. The system according to claim 1, wherein said first and second processes are performed periodically.

7. The system according to claim 6 wherein said periods are less thirty seconds.

8. The system according to claim 1 wherein said context is generated probabilistically.

9. A computer implemented method for parallel processing wherein the method comprises:

providing a process group which during execution of the parallel process, comprises;

(a) a first digital data stream generated by a first process;

(b) a second digital data stream generated by a second process;

(c) a third process for controllably receiving said first and second data streams and in response thereto generating a third digital data stream

and defining said first, second and third processes by a common unique communication context associated with said at least one group.

10. The method according to claim 9, wherein the system can be represented by a conflict graph wherein each node in said graph is tagged to avoid deadlock in the system.

11. The method according to claim 9, further comprising providing a plurality of said process groups, each group having a communication context distinct from the other groups.

12. The method according to claim 9, further comprising providing a plurality of said first processes each having an associated first context, and wherein said third process uses a said first context to distinguish between individual ones of said first processes.

13. The method according to claim 9, wherein said system comprises a display for displaying said third data stream in real time.

14. The method according to claim 9, wherein said first and second processes are performed periodically.

15. The method according to claim 14 wherein said periods are less thirty seconds.

16. The method according to claim 9 wherein said context is generated probabilistically.