Systems for performing parallel distributed processing for physical layout generation

• US 20060200266A1
• Filed: 12/22/2005
• Published: 09/07/2006
• Est. Priority Date: 03/04/2005
• Status: Abandoned Application

• Current Assignee: Athena Design Systems, Inc.
• Original Assignee: Athena Design Systems, Inc.
• Inventors: Fotakis, Dimitris Konstantinos, Geocaris, Thomas W., Tsangaris, Manolis M.
• Application Number:
  US11/315,892
• Publication Number:
  US 20060200266A1
• Time in Patent Office: Days
• US Class Current: 700/121
• CPC Class Codes: G06F 30/39 Circuit design at the physical level physical level design for reconfigurable circuits G06F30/347

Abstract

A system for performing parallel distributed processing thereby accelerating the generation of a physical layout is disclosed. Specifically, the system significantly reduces the execution time of a place and route stage in the design of an integrated circuit (IC). An IC design is broken to multiple tiles that are independently processed and routed in parallel. This is achieved by providing an infrastructure that manages the multi-processing as well as data flows between a main computing node and a plurality of remote processing nodes.

Claims

1. A distributed system for accelerating the generation of a physical layout of an integrated circuit (IC) design, said system comprising:

a main computing node having at least a multi-processing agent for enabling a distributed parallel processing of tasks;

a plurality of remote processing nodes coupled to said main computing node for executing the tasks assigned by said multi-processing agent; and

a communication network for communication between said main computing node and said plurality of remote processing nodes.

2. The system of claim 1, wherein said main computing node further comprises:

a main database for holding information related to said IC design;

a script engine for propagating scripts to be executed by said remote processing nodes; and

a data streamer for transferring data streams to each of the remote processing nodes.

3. The system of claim 2, wherein said main database includes a plurality of tables to maintain data of said IC design.

4. The system of claim 3, wherein the content of each table is individually streamed.

5. The system of claim 3, wherein the content of said main database is indexed using table-indexes.

6. The system of claim 1, wherein said multi-processing agent comprises:

a data manager for controlling the transfers of data streams from said main computing node to said remote processing nodes, said data manager being further controlling the transfers of data streams from said remote computing nodes to said main computing node;

a control manager for managing the distributed parallel processing of tasks;

a plurality of remote managers for controlling tasks executed on said remote processing nodes; and

a remote job execution (RJE) for allocating at least one remote manager for executing a task.

7. The system of claim 6, wherein said control manager further dispatches a task waiting in a system queue to one of said remote computing nodes.

8. The system of claim 7, wherein said task is a function applied on an input dataset and said remote computing node returns an output dataset.

9. The system of claim 8, wherein said function comprises performing a detailed routing on said tile, wherein said input dataset is a tile, and wherein said output dataset is incremental routed data.

10. The system of claim 9, wherein said tile comprises multiple nets of said IC design.

11. The system of claim 9, wherein the data streams transferred by said data manager are at least input datasets.

12. The system of claim 11, wherein the data streams received by said data manager are also at least output datasets.

13. The system of claim 12, wherein the datasets are transferred using a subscribe op-code and a publish op-code.

14. The system of claim 13, wherein said publish op-code informs said data manager that a dataset is ready to be transferred by said main computing node.

15. The system of claim 13, wherein said subscribe op-code informs said data manager that a dataset is ready to be retrieved by said remote processing node.

16. The system of claim 13, wherein said publish op-code informs said data manager that a dataset is ready to be transferred by said remote processing node.

17. The system of claim 13, wherein said subscribe op-code informs said data manager that a dataset is ready to be retrieved by said main computing node.

18. The system of claim 8, wherein said control manager implements at least one op-code for controlling the execution of said task.

19. The system of claim 18, wherein said op-code including at least one of:

a monitor op-code for monitoring the status of a task, and a spawn op-code for assigning a task to one of said remote processing nodes.

20. The system of claim 1, wherein each of said remote processing nodes comprises at least:

a remote script engine for handling scripts received from said main computing node;

a remote data streamer for receiving data streams from said main computing node and for transferring data streams to said main computing node;

a remote database for maintaining information on a routed tile; and

a third party interface for interfacing with at least an external design tool.

21. The system of claim 20, wherein said design tool is at least one of:

a detailed routing tool, and an extraction tool.

22. The system of claim 20, wherein said remote processing nodes are part of a computing farm.

23. The system of claim 1, wherein said communication network is at least one of:

a wide area network (WAN), a location area network (LAN), and a metro area network (MAN).

24. A method for accelerating the generation of a physical layout of an integrated circuit (IC) design, said method comprising:

allocating a remote manager;

creating a task by a main computing node;

forwarding said task to the allocated remote manager;

creating a copy of said task on a remote processing node using said remote manager;

publishing a request to transfer a dataset using a data manager;

subscribing said request in said remote processing node; and

transferring said dataset from said main computing node to said remote processing node.

25. The method of claim 24, wherein the method further comprises monitoring the execution of said task.

26. The method of claim 25, wherein monitoring said task is performed using a monitor op-code.

27. The method of claim 24, wherein creating said task is performed using a spawn op-code.

28. The method of claim 24, wherein said dataset includes information related to said task.

29. The method of claim 28, wherein said dataset is transferred as a data stream.

30. The method of claim 29, wherein said dataset includes multiple nets of said tile.

31. The method of claim 24, wherein said task comprises performing a detailed routing on a tile.

32. The method of claim 24, wherein subscribing said request is performed using a subscribe op-code.

33. The method of claim 24, wherein publishing said request is performed using a publish op-code.

34. The method of claim 24, the method further comprising:

upon completing the execution of said task by said remote processing node, sending incremental routed data from said remote processing node to said main computing node; and

saving said incremental routed data in a main database.

35. A machine-readable medium that provides instructions to implement a method for accelerating the generation of a physical layout of an integrated circuit (IC) design, which instructions, when executed by a set of processors, cause said set of processors to perform operations comprising:

allocating a remote manager;

creating a task by a main computing node;

forwarding said task to the allocated remote manager;

creating a copy of said task on a remote processing node using said remote manager;

publishing a request to transfer a dataset using a data manager;

subscribing said request in said remote processing node; and

transferring said dataset from said main computing node to said remote processing node.

36. The machine-readable medium of claim 35, wherein the method further comprises monitoring the execution of said task.

37. The machine-readable medium of claim 36, wherein monitoring said task is performed using a monitor op-code.

38. The machine-readable medium of claim 35, wherein creating said task is performed using a spawn op-code.

39. The machine-readable medium of claim 35, wherein said dataset includes information related to said task.

40. The machine-readable medium of claim 39, wherein said dataset is transferred as a data stream.

41. The machine-readable medium of claim 40, wherein said dataset includes multiple nets of said tile.

42. The machine-readable medium of claim 35, wherein said task comprises performing a detailed routing on a tile.

43. The machine-readable medium of claim 35, wherein subscribing said request is performed using a subscribe op-code.

44. The machine-readable medium of claim 35, wherein publishing said request is performed using a publish op-code.