Simulation system, method, and program

• US 8,412,496 B2
• Filed: 06/01/2010
• Issued: 04/02/2013
• Est. Priority Date: 06/02/2009
• Status: Expired due to Fees

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Canedo, Arquimedes Martinez, Komatsu, Hideaki
• Primary Examiner(s): Phan, Thai
• Application Number:
  US12/791,096
• Publication Number:
  US 20100305926A1
• Time in Patent Office: 1,036 Days
• Field of Search: 703/2, 703/14, 714/15, 714/E11.128, 707/674, 707/687
• US Class Current: 703/2
• CPC Class Codes: G06F 30/15 Vehicle, aircraft or watercraft design
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

A system, method and program to improve the processing speed of a simulation system. A processing system finds an entry point so that functional blocks cover a broad range. The processing system places code of a look-ahead dispatcher for assigning processing. The look-ahead dispatcher monitors an input state at the entry point to determine whether the input state is a stable state. If the input state is stable, the look-ahead dispatcher calls an adaptive execution module at some frequency or otherwise calls an idle execution module. The adaptive execution module performs processing on multiple timestamps at once. When a discrete system receives an input event, the look-ahead dispatcher calls a recovery execution module. Based on the input event on that occasion, the timestamp, and a value stored in a state vector, the recovery execution module calculates a state for which recovery is performed.

Claims

1. A simulation system for performing simulation according to operation of a computer, the simulation system comprising:

means for determining whether an input state is stable;

means for running an adaptive processing routine that executes a plurality of steps at a time in response to the determination that the input state is stable;

means for running a normal processing routine that executes one step at a time in response to the determination that the input state is not stable; and

means for running a recovery routine in which a state to be recovered is determined based on an event input in response to the event input to restart processing from a point of the event input using the state to be recovered.

2. The simulation system according to claim 1, wherein the adaptive processing routine is to store a state together with a timestamp sequentially for each step of the plurality of steps, and the means for running the recovery routine references the stored state based on the timestamp of the event to realize the state to be recovered.

3. The simulation system according to claim 1, further comprising:

means for storing input values of events sequentially; and

means for calculating the state to be recovered based on the stored input values and a current state value.

4. The simulation system according to claim 1, further comprising:

means for temporally interpolating outputs of the adaptive processing routine; and

means for outputting the interpolated outputs.

5. A simulation method of performing simulation according to operation of a computer, the simulation method comprising the steps of:

determining whether an input state is stable;

running an adaptive processing routine that executes a plurality of steps at a time in response to the determination that the input state is stable;

running a normal processing routine that executes one step at a time in response to the determination that the input state is not stable; and

running a recovery routine in which a state to be recovered is determined based on an event input in response to the event input to restart processing from a point of the event input using the state to be recovered.

6. The simulation method according to claim 5, wherein the adaptive processing routine is to store a state together with a timestamp sequentially for each step of the plurality of steps, and the step of running the recovery routine is to reference the stored state based on the timestamp of the event to realize the state to be recovered.

7. The simulation method according to claim 5, further comprising the steps of:

storing input values of events sequentially; and

calculating the state to be recovered based on the stored input values and a current state value.

8. The simulation method according to claim 5, further comprising the steps of:

temporally interpolating outputs of the adaptive processing routine; and

outputting the interpolated outputs.

9. A program for performing simulation according to operation of a computer, the program causing the computer to execute the steps of:

determining whether an input state is stable;

running an adaptive processing routine that executes a plurality of steps at a time in response to the determination that the input state is stable;

running a normal processing routine that executes one step at a time in response to the determination that the input state is not stable; and

running a recovery routine in which a state to be recovered is determined based on an event input in response to the event input to restart processing from a point of the event input using the state to be recovered.

10. The program according to claim 9, wherein the adaptive processing routine is to store a state together with a timestamp sequentially for each step of the plurality of steps, and the step of running the recovery routine is to reference the stored state based on the timestamp of the event to realize the state to be recovered.

11. The program according to claim 9, further comprising the steps of:

storing input values of events sequentially; and

calculating the state to be recovered based on the stored input values and a current state value.

12. The program according to claim 9, further comprising the steps of:

temporally interpolating outputs of the adaptive processing routine; and

outputting the interpolated outputs.