Statistical Analysis using a graphics processing unit

1 . A method, comprising:

dividing a data structure into plural sections, the data structure having plural elements, wherein each section comprises a portion of the plural elements, and wherein the data structure contains information related to statistical analysis;

generating instructions to execute a function on the data structure on a section-by-section basis; and

executing the instructions on a graphics processing unit (GPU).

2 . The method of claim 1 , wherein the data structure includes a matrix.

3 . The method of claim 2 further comprising storing the matrix into a table, wherein a particular row in the table corresponds to a particular section of the matrix.

4 . The method of claim 3 further comprising storing the matrix in column-major form in a memory associated with the GPU.

5 . The method of claim 1 , wherein the function comprises algebraic matrix operations.

6 . The method of claim 5 , wherein the function is created by a user to extend a database programming language.

7 . The method of claim 6 , wherein the database programming language is PostgreSQL.

8 . The method of claim 1 , wherein executing the instructions comprises invoking GPU libraries associated with the GPU.

9 . A system, comprising:

a processor;

a graphics processing unit (GPU); and

a storage to store instructions, which when executed by the processor, cause the processor to:

divide a data structure into plural sections, the data structure having plural elements, wherein each section comprises a portion of the plural elements, and wherein the data structure contains information related to statistical analysis;

generate particular instructions to execute a function on the data structure on a section-by-section basis; and

instruct the GPU to execute the particular instructions.

10 . The system of claim 9 , wherein the data structure includes a matrix.

11 . The system of claim 10 , wherein the instructions further cause the processor to store the matrix into a table, wherein a particular row in the table corresponds to a particular section of the matrix.

12 . The system of claim 11 , wherein the instructions further cause the processor to store the matrix in column-major form in the memory.

13 . The system of claim 9 , wherein the function comprises algebraic matrix operations.

14 . The system of claim 13 , wherein the function is created by a user to extend a database programming language.

15 . The system of claim 9 , wherein the database programming language is PostgreSQL.

16 . The system of claim 15 , wherein the data structure is a User-Defined Type (UDT) in PostgreSQL.

17 . A non-transitory computer readable medium to store instructions that, when executed by a processor, cause the processor to:

divide a data structure into plural sections, the data structure having plural elements, wherein each section comprises a portion of the plural elements, and wherein the data structure contains information related to statistical analysis;

generate particular instructions to execute a function on the data structure on a section-by-section basis; and

copy the data structure to a memory associated with a graphics processing unit (GPU), wherein the GPU is to execute the particular instructions on the data structure.

18 . The computer readable medium of claim 17 , wherein the data structure includes a matrix.

19 . The computer readable medium of claim 18 , wherein the instructions further cause the processor to store the matrix into a table, wherein a particular row in the table corresponds to a particular section of the matrix.

20 . The computer readable medium of claim 19 , wherein the instructions further cause the processor to store the matrix in column-major form in the memory.