HARDWARE ACCELERATION OF WEB APPLICATIONS

• US 20130191722A1
• Filed: 06/08/2012
• Published: 07/25/2013
• Est. Priority Date: 01/24/2012
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: GIBBS, Simon J., BRUTCH, Tasneem G., JEON, Won
• Granted Patent: US 9,424,089 B2
• Time in Patent Office: Days
• US Class Current: 715/234
• CPC Class Codes: G06F 2209/5017 Task decomposition
• CPC Class Codes: G06F 9/45508 Runtime interpretation or emulation, e g. emulator loops, bytecode interpretation
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

In a first embodiment of the present invention, a method for enabling hardware acceleration of web applications is provided, comprising: parsing a web page using a scripting engine, wherein the web page necessitates running a web application; accessing one or more Application Program Interfaces (APIs) that provide parallelization, and distribute tasks of the web application among multiple cores of a multi-core central processing unit (CPU) or graphical processing unit (GPU), wherein the accessing uses a compute context class that, when instantiated, creates a compute context object that acts as a bridge between the scripting engine and the one or more APIs; and creating one or more kernels to operate on the multiple cores.

Claims

1. A method for enabling hardware acceleration of web applications, comprising:

parsing a web page using a scripting engine, wherein the web page necessitates running a web application;

accessing one or more Application Program Interfaces (APIs) that distribute tasks of the web application among multiple cores of a multi-core central processing unit (CPU) or graphical processing unit (GPU), wherein the accessing uses a compute context class that, when instantiated, creates a compute context object that acts as a bridge between the scripting engine and the one or more APIs; and

creating one or more kernels to operate on the multiple cores.

2. The method of claim 1, wherein the scripting engine is a JavaScript engine.

3. The method of claim 1, wherein the APIs are OpenCL APIs.

4. The method of claim 3, further comprising:

utilizing Web Acceleration APIs that are bound to corresponding OpenCL APIs to execute the kernels.

5. The method of claim 3, further comprising:

utilizing Web AccelerationAPIs that are bound to corresponding OpenCL APIs to clean up after hardware acceleration.

6. A method for enabling hardware acceleration of web applications, comprising:

providing a scripting language binding to an open standard for APIs for accelerating web applications by distributing tasks among multiple cores of multi-core CPUs and GPUs; and

providing a modified browser containing support for the open standard as well as support for the binding.

7. The method of claim 6, wherein the scripting language is JavaScript.

8. The method of claim 6, wherein the open standard is OpenCL.

9. A web browser operable on a computer having access to multiple cores of a multi-core CPU or GPU, the web browser comprising:

a user interface front end;

a web view module including;

a scripting language engine;

a webcore, the web core including;

a scripting language engine binder;

a Document Object Model (DOM) interpreter;

a parser;

a loader;

a platform port including a port to an open standard for APIs for accelerating web applications by distributing tasks among multiple cores of multi-core CPUs and GPUs; and

a Web Acceleration core configured to

access the one or more APIs through the port to the open standard, wherein the accessing uses a compute context class that, when instantiated, creates a compute context object that acts as a bridge between the scripting engine and the one or more APIs; and

create one or more kernels to operate on the multiple cores.

10. The web browser of claim 9, wherein the user interface front end of configured to compute image pixels and drawn them to the screen.

11. The web browser of claim 9, wherein the scripting language engine is a JavaScript engine.

12. The web browser of claim 9, wherein the scripting language engine binder is a JavaScript engine binder.

13. The web browser of claim 9, wherein the open standard is OpenCL.

14. An apparatus for enabling hardware acceleration of web applications, comprising:

means for parsing a web page using a scripting engine, wherein the web page necessitates running a web application;

means for accessing one or more Application Program Interfaces (APIs) that distribute tasks of the web application among multiple cores of a multi-core central processing unit (CPU) or graphical processing unit (GPU), wherein the accessing uses a compute context class that, when instantiated, creates a compute context object that acts as a bridge between the scripting engine and the one or more APIs; and

means for creating one or more kernels to operate on the multiple cores.

15. The apparatus of claim 14, wherein the scripting engine is a JavaScript engine.

16. The apparatus of claim 14, wherein the APIs are OpenCL APIs.

17. The apparatus of claim 16, further comprising:

means for utilizing Web Acceleration APIs that are bound to corresponding OpenCL APIs to execute the kernels.

18. The apparatus of claim 16, further comprising:

means for utilizing Web Acceleration APIs that are bound to corresponding OpenCL APIs to clean up after hardware acceleration.

19. An apparatus for enabling hardware acceleration of web applications, comprising:

means for providing a scripting language binding to an open standard for APIs for accelerating web applications by distributing tasks among multiple cores of multi-core CPUs and GPUs; and

means for providing a modified browser containing support for the open standard as well as support for the binding.

20. The apparatus of claim 19, wherein the scripting language is JavaScript.

21. The apparatus of claim 19, wherein the open standard is OpenCL.

22. A program storage device readable by a machine tangibly embodying a program of instructions executable by the machine to perform a method for enabling hardware acceleration of web applications, the method comprising:

parsing a web page using a scripting engine, wherein the web page necessitates running a web application;

accessing one or more Application Program Interfaces (APIs) that distribute tasks of the web application among multiple cores of a multi-core central processing unit (CPU) or graphical processing unit (GPU), wherein the accessing uses a compute context class that, when instantiated, creates a compute context object that acts as a bridge between the scripting engine and the one or more APIs; and

creating one or more kernels to operate on the multiple cores.