Matrix vector multiply techniques
US9930117B2 · kind B2 · utility
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19Claims
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Key dates
| Filing date | Sep 30, 2015 |
| Grant date | Mar 27, 2018 |
| Priority date | — |
| Expiry date | May 27, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/568
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distributed across multiple processing nodes. Performance of the overall multiplication operation may require communication of data among the processing nodes. In various embodiments, fine-grained communication of this data may reduce processing times and/or power consumption by avoiding congestion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.