DISTRIBUTED NETWORK FOR PERFORMING COMPLEX ALGORITHMS

• US 20120239517A1
• Filed: 04/10/2012
• Published: 09/20/2012
• Est. Priority Date: 11/08/2007
• Status: Abandoned Application

• Current Assignee: Cognizant Technology Solutions U.S. Corporation (Cognizant Technology Solutions Corp.)
• Original Assignee: Genetic Finance (Barbados) Limited
• Inventors: Cheyer, Adam, Hodjat, Babak, Harrigan, Peter, Blondeau, Antoine
• Application Number:
  US13/443,546
• Publication Number:
  US 20120239517A1
• Time in Patent Office: Days
• US Class Current: 705/26.1
• CPC Class Codes: G06F 2209/5017 Task decomposition
• 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: G06N 3/126 Evolutionary algorithms, e.g. genetic algorithms or genetic programming
• CPC Class Codes: G06Q 10/0633 Workflow analysis
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The cost of performing sophisticated software-based financial trend and pattern analysis is significantly reduced by distributing the processing power required to carry out the analysis and computational task across a large number of networked individual or cluster of computing nodes. To achieve this, the computational task is divided into a number of sub tasks. Each sub task is then executed on one of a number of processing devices to generate a multitude of solutions. The solutions are subsequently combined to generate a result for the computational task. The individuals controlling the processing devices are compensated for use of their associated processing devices. The algorithms are optionally enabled to evolve over time. Thereafter, one or more of the evolved algorithms is selected in accordance with a predefined condition.

Claims

1. A method for performing a computational task under the direction of a central server infrastructure, the method comprising:

forming a network of processing devices, each processing device being controlled by and associated with a different one of a plurality of entities;

each of the processing devices creating a respective initial pool of algorithms;

enabling the algorithms to evolve over time;

the central server infrastructure selecting one or more of the evolved algorithms in accordance with a predefined condition; and

applying the selected one or more algorithms to perform the computational task, wherein said computational task represents a financial algorithm.

2. The method of claim 1 further comprising:

compensating the plurality of entities for use of their associated processing devices.

3. The method of claim 1 wherein at least one of the processing devices comprises a cluster of central processing units.

4. The method of claim 1 wherein at least one of the entities is compensated financially.

5. The method of claim 1 wherein at least one of the processing devices comprises a central processing unit and a host memory.

6. The method of claim 1 wherein at least one of the said algorithms provides a measure of a risk-adjusted performance of one or more assets.

7. The method of claim 1 wherein at least one of the entities is compensated in goods/services.

8. The method of claim 1, wherein the step of each of the processing devices creating a respective initial pool of algorithms comprises the step of each of the processing devices creating a respective initial pool of algorithms randomly.

9. A networked computer system configured to perform a computational task, the networked computer system comprising:

a plurality of processing devices each configured to create a respective initial pool of algorithms, said algorithms being enabled to evolve over time;

a central server infrastructure configured to select one or more of the evolved algorithms in accordance with a predefined condition; and

a module configured to apply the selected one or more algorithms to perform the computational task, said computational task representing a financial algorithm.

10. The networked computer system of claim 9 further comprising:

a module configured to maintain a compensation level for each of the plurality of processing devices.

11. The networked computer system of claim 9 wherein at least one of the processing devices comprises a cluster of central processing units.

12. The networked computer system of claim 9 wherein at least one compensation is a financial compensation.

13. The networked computer system of claim 9 wherein at least one of the processing devices comprises a central processing unit and a host memory.

14. The networked computer system of claim 9 wherein at least one of the algorithms provides a measure of a risk-adjusted performance of one or more assets.

15. The networked computer system of claim 9, wherein each of the processing devices creates the respective initial pool of algorithms randomly.

16. A method for performing a computational task under the direction of a central controller, the method comprising:

forming a network of processing devices, different ones of the processing devices being controlled by and associated with different ones of a plurality of entities, the step of forming including providing to each of the processing devices client-side software code to be executed;

the central controller causing each of the processing devices to create a respective initial pool of algorithms, the client-side software code enabling the algorithms to evolve over time;

the central controller selecting one or more of the evolved algorithms in accordance with a predefined condition; and

applying the selected one or more algorithms to perform the computational task, wherein said computational task represents a financial algorithm.