公开(公告)号：US20200349670A1

公开(公告)日：2020-11-05

申请号：US16930841

申请日：2020-07-16

Applicant: Intel Corporation

Inventor： Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Nicolas C. Galoppo Von Borries

IPC: G06T1/20 ,  G06F17/16 ,  G06T1/60 ,  G06F9/30 ,  G06K9/62 ,  G06F12/0888 ,  G06F12/0815 ,  H03M7/30 ,  G06F9/48 ,  G06T15/00 ,  G06N3/04 ,  G06F9/38 ,  G06F12/0831 ,  G06F12/0811 ,  G06N3/08

Abstract: Techniques to improve performance of matrix multiply operations are described in which a compute kernel can specify one or more element-wise operations to perform on output of the compute kernel before the output is transferred to higher levels of a processor memory hierarchy.

公开(公告)号：US10769748B2

公开(公告)日：2020-09-08

申请号：US16197783

申请日：2018-11-21

Applicant: Intel Corporation

Inventor： Eriko Nurvitadhi ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Altug Koker ,  Narayan Srinivasa ,  Dukhwan Kim ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Feng Chen ,  Elmoustapha Ould-Ahmed-Vall ,  Kevin Nealis ,  Xiaoming Chen ,  Anbang Yao

IPC: G06T1/20 ,  G06N3/04 ,  G06N3/063 ,  G06F9/38 ,  G06F9/30 ,  G06N3/08

Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex machine learning compute operation.

公开(公告)号：US20200279349A1

公开(公告)日：2020-09-03

申请号：US16880338

申请日：2020-05-21

Applicant: Intel Corporation

Inventor： Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajikshore Barik ,  Nicolas C. Galoppo Von Borries

IPC: G06T1/20 ,  G06F9/30 ,  G06F9/38 ,  G06F12/0811 ,  G06F12/0815 ,  G06F12/0831 ,  G06F12/0888 ,  H03M7/30 ,  G06K9/62 ,  G06F9/48 ,  G06F17/16 ,  G06N3/04 ,  G06N3/08 ,  G06T1/60 ,  G06T15/00

Abstract: An apparatus to facilitate processing of a sparse matrix is disclosed. The apparatus includes a plurality of processing units each comprising one or more processing elements, including logic to read operands, a multiplication unit to multiply two or more operands and a scheduler to identify operands having a zero value and prevent scheduling of the operands having the zero value at the multiplication unit.

公开(公告)号：US10521349B2

公开(公告)日：2019-12-31

申请号：US16277267

申请日：2019-02-15

Applicant: Intel Corporation

Inventor： Chandrasekaran Sakthivel ,  Prasoonkumar Surti ,  John C. Weast ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Abhishek R. Appu ,  Nicolas C. Galoppo Von Borries ,  Joydeep Ray ,  Narayan Srinivasa ,  Feng Chen ,  Ben J. Ashbaugh ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Altug Koker

IPC: G06F12/0837 ,  G06N3/08 ,  G06N20/00 ,  G06T1/20 ,  G06F12/0815 ,  G06N3/04 ,  G06N3/063

Abstract: In an example, an apparatus comprises a plurality of processing unit cores, a plurality of cache memory modules associated with the plurality of processing unit cores, and a machine learning model communicatively coupled to the plurality of processing unit cores, wherein the plurality of cache memory modules share cache coherency data with the machine learning model. Other embodiments are also disclosed and claimed.

公开(公告)号：US20190332903A1

公开(公告)日：2019-10-31

申请号：US16505012

申请日：2019-07-08

Applicant: Intel Corporation

Inventor： Kevin Nealis ,  Anbang Yao ,  Xiaoming Chen ,  Elmoustapha Ould-Ahmed-Vall ,  Sara S. Baghsorkhi ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha

IPC: G06K9/66 ,  G06N3/08 ,  G06N3/063 ,  G06N3/04 ,  G06T1/20 ,  G06K9/00 ,  G06F9/38 ,  G06F9/30

Abstract: One embodiment provides for a compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction that specifies multiple operands including a multi-bit input value and a bipolar binary weight associated with a neural network and an arithmetic logic unit including a multiplier, an adder, and an accumulator register. To execute the decoded instruction, the multiplier is to perform a multiplication operation on the multi-bit input based on the bipolar binary weight to generate an intermediate product and the adder is to add the intermediate product to a value stored in the accumulator register and update the value stored in the accumulator register.

公开(公告)号：US10410098B2

公开(公告)日：2019-09-10

申请号：US15494710

申请日：2017-04-24

Applicant: Intel Corporation

Inventor： Kevin Nealis ,  Anbang Yao ,  Xiaoming Chen ,  Elmoustapha Ould-Ahmed-Vall ,  Sara S. Baghsorkhi ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha

IPC: G06F9/30 ,  G06K9/66 ,  G06K9/00 ,  G06F9/38 ,  G06F9/46 ,  G06T1/20 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the apparatus comprising a decode unit to decode a single instruction into a decoded instruction that specifies multiple operands including an input value and a quantized weight value associated with a neural network and an arithmetic logic unit including a barrel shifter, an adder, and an accumulator register, wherein to execute the decoded instruction, the barrel shifter is to shift the input value by the quantized weight value to generate a shifted input value and the adder is to add the shifted input value to a value stored in the accumulator register and update the value stored in the accumulator register.

公开(公告)号：US20190139182A1

公开(公告)日：2019-05-09

申请号：US16197783

申请日：2018-11-21

Applicant: Intel Corporation

Inventor： Eriko Nurvitadhi ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Kamal Sinha ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Altug Koker ,  Narayan Srinivasa ,  Dukhwan Kim ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Feng Chen ,  Elmoustapha Ould-Ahmed-Vall ,  Kevin Nealis ,  Xiaoming Chen ,  Anbang Yao

IPC: G06T1/20 ,  G06N3/08 ,  G06N3/04

CPC classification number: G06T1/20 ,  G06F9/3001 ,  G06F9/3017 ,  G06F9/3851 ,  G06F9/3887 ,  G06F9/3895 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08 ,  G06N3/084

Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex machine learning compute operation.

公开(公告)号：US20190034782A1

公开(公告)日：2019-01-31

申请号：US15664614

申请日：2017-07-31

Applicant: Intel Corporation

Inventor： Michael I. Davies ,  Tsung-Han Lin

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063

Abstract: System and techniques for variable epoch spike train filtering are described herein. A spike trace storage may be initiated for an epoch. Here, the spike trace storage is included in a neural unit of neuromorphic hardware. Multiple spikes may be received at the neural unit during the epoch. The spike trace storage may be incremented for each of the multiple spikes to produce a count of received spikes. An epoch learning event may be obtained and a spike trace may be produced in response to the epoch learning event using the count of received spikes in the spike trace storage. Network parameters of the neural unit may be modified using the spike trace.

公开(公告)号：US20180308208A1

公开(公告)日：2018-10-25

申请号：US15819093

申请日：2017-11-21

Applicant: Intel Corporation

Inventor： Prasoonkumar Surti ,  Narayan Srinivasa ,  Feng Chen ,  Joydeep Ray ,  Ben J. Ashbaugh ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Balaji Vembu ,  Tsung-Han Lin ,  Kamal Sinha ,  Rajkishore Barik ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Farshad Akhbari ,  Dukhwan Kim ,  Wenyin Fu ,  Travis T. Schluessler ,  Josh B. Mastronarde ,  Linda L. Hurd ,  John H. Feit ,  Jeffery S. Boles ,  Adam T. Lake ,  Karthik Vaidyanathan ,  Devan Burke ,  Subramaniam Maiyuran ,  Abhishek R. Appu

IPC: G06T1/20 ,  G06T1/60 ,  G06F17/16

CPC classification number: G06T1/20 ,  G06F8/41 ,  G06F9/45533 ,  G06F9/5061 ,  G06F9/5094 ,  G06F17/16 ,  G06F2009/45583 ,  G06T1/60

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of execution units (EUs), wherein the plurality of EUs comprise a first EU type and a second EU type

公开(公告)号：US20180307971A1

公开(公告)日：2018-10-25

申请号：US15495020

申请日：2017-04-24

Applicant: Intel Corporation

Inventor： Kamal Sinha ,  Balaji Vembu ,  Eriko Nurvitadhi ,  Nicolas C. Galoppo Von Borries ,  Rajkishore Barik ,  Tsung-Han Lin ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Anbang Yao ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Farshad Akhbari ,  Narayan Srinivasa ,  Feng Chen ,  Dukhwan Kim ,  Nadathur Rajagopalan Satish ,  John C. Weast ,  Mike B. MacPherson ,  Linda L. Hurd ,  Vasanth Ranganathan ,  Sanjeev S. Jahagirdar

IPC: G06N3/063 ,  G06N3/08 ,  G06N3/04 ,  G06T1/20

CPC classification number: G06N3/063 ,  G06F1/3287 ,  G06F1/3293 ,  G06F9/30014 ,  G06F9/30036 ,  G06F15/78 ,  G06N3/04 ,  G06N3/08 ,  G06T1/20 ,  G06T1/60 ,  G06T15/005

Abstract: In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.