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:
Aug. 15, 2023

Filed:

Aug. 27, 2020
Applicant:

Cerebras Systems Inc., Sunnyvale, CA (US);

Inventors:

Sean Lie, Los Gatos, CA (US);

Gary R. Lauterbach, Los Altos, CA (US);

Michael Edwin James, San Carlos, CA (US);

Michael Morrison, Sunnyvale, CA (US);

Srikanth Arekapudi, Santa Clara, CA (US);

Assignee:

Cerebras Systems Inc., Sunnyvale, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/063 (2023.01); G06F 13/00 (2006.01); G06N 3/084 (2023.01); G06N 3/08 (2023.01); G06F 9/30 (2018.01); H04L 49/00 (2022.01); G06F 9/38 (2018.01); H04L 12/54 (2022.01); G06F 5/06 (2006.01); G06F 13/40 (2006.01); G06N 3/04 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/048 (2023.01); H04L 49/506 (2022.01); G06F 30/392 (2020.01);
U.S. Cl.
CPC ...
G06N 3/063 (2013.01); G06F 5/06 (2013.01); G06F 9/3001 (2013.01); G06F 9/3009 (2013.01); G06F 9/30014 (2013.01); G06F 9/3016 (2013.01); G06F 9/30036 (2013.01); G06F 9/30087 (2013.01); G06F 9/30192 (2013.01); G06F 9/3851 (2013.01); G06F 13/00 (2013.01); G06F 13/4027 (2013.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/048 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); H04L 12/56 (2013.01); H04L 49/3018 (2013.01); G06F 30/392 (2020.01); H04L 49/3045 (2013.01); H04L 49/506 (2013.01);
Abstract

Techniques in advanced deep learning provide improvements in one or more of accuracy, performance, and energy efficiency. An array of processing elements performs flow based computations on wavelets of data. Each processing element has a compute element and a routing element. Each compute element has memory. Each router enables communication via wavelets with nearest neighbors in a 2D mesh. A compute element receives a wavelet. If a control specifier of the wavelet is a first value, then instructions are read from the memory of the compute element in accordance with an index specifier of the wavelet. If the control specifier is a second value, then instructions are read from the memory of the compute element in accordance with a virtual channel specifier of the wavelet. Then the compute element initiates execution of the instructions.


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