The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 12, 2017

Filed:

May. 31, 2012
Applicants:

Kazuo Goda, Tokyo, JP;

Hiroyuki Yamada, Tokyo, JP;

Masaru Kitsuregawa, Tokyo, JP;

Nobuo Kawamura, Tokyo, JP;

Shinji Fujiwara, Tokyo, JP;

Kazuhiko Mogi, Tokyo, JP;

Inventors:

Kazuo Goda, Tokyo, JP;

Hiroyuki Yamada, Tokyo, JP;

Masaru Kitsuregawa, Tokyo, JP;

Nobuo Kawamura, Tokyo, JP;

Shinji Fujiwara, Tokyo, JP;

Kazuhiko Mogi, Tokyo, JP;

Assignees:

Hitachi, Ltd., Tokyo, JP;

The University of Tokyo, Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2006.01); G06F 9/46 (2006.01); G06F 9/54 (2006.01); G06F 9/48 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 9/466 (2013.01); G06F 9/4843 (2013.01); G06F 9/54 (2013.01); G06F 17/30445 (2013.01); G06F 17/30477 (2013.01);
Abstract

A parallel data processing system includes a parallel data processing execution unit for reading a data from a data set including a first data set that includes a plurality of first data and a second data set that includes a plurality of second data and executing processing. The parallel data processing execution unit (A) reads the first data from the first data set, and acquires a first value from the first data based on first format information acquired from an application, (B) generates one or more threads for respectively reading one or more second data corresponding to the first value from the second data set based on first reference information acquired from the application, (C) executes (A) and (B) on one or more first data in the first data set, and (D) executes a plurality of the threads in parallel.


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