Systems and Methods for Efficient Data Preprocessing of Machine Learning Workloads
US-2024403138-A1 · Dec 5, 2024 · US
Full exploitation of parallel processors for data processing
US8959522B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8959522-B2 |
| Application number | US-201213361544-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 30, 2012 |
| Priority date | Jan 30, 2012 |
| Publication date | Feb 17, 2015 |
| Grant date | Feb 17, 2015 |
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Abstract
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For full exploitation of parallel processors for data processing, a set of parallel processors is partitioned into disjoint subsets according to indices of the set of the parallel processors. The size of each of the disjoint subsets corresponds to a number of processors assigned to the processing of the data chunks at one of the layers. Each of the processors are assigned to different layers in different data chunks such that each of processors are busy and the data chunks are fully processed within a number of the time steps equal to the number of the layers. A transition function is devised from the indices of the set of the parallel processors at one time steps to the indices of the set of the parallel processors at a following time step.
First claim
Opening claim text (preview).
What is claimed is: 1. A system for full exploitation, after a plurality of initialization steps, of a set of a plurality of parallel processors to perform a task on a sequence of data chunks in a computing environment, wherein each of the data chunks are processed in several time steps and by a plurality of layers with the plurality of layers being dealt with by at least one of a plurality of processors at each of the time steps, the system comprising: a processor device operable…
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- G06F9/5066Primary
Physics · mapped topic
Cross-Sectional Technologies · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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Frequently asked questions
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- What does patent US8959522B2 cover?
- For full exploitation of parallel processors for data processing, a set of parallel processors is partitioned into disjoint subsets according to indices of the set of the parallel processors. The size of each of the disjoint subsets corresponds to a number of processors assigned to the processing of the data chunks at one of the layers. Each of the processors are assigned to different layers in…
- Who is the assignee on this patent?
- Hirsch Michael, Klein Shmuel Thomas, Toaff Yair, and 1 more
- What technology area does this patent fall under?
- Primary CPC classification G06F9/5066. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Feb 17 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).