公开(公告)号：US20190377395A1

公开(公告)日：2019-12-12

申请号：US16004647

申请日：2018-06-11

Applicant: Intel Corporation

Inventor： Nikos Kaburlasos ,  Iqbal Rajwani ,  Bhushan Borole ,  Kamal Sinha ,  Sanjeev Jahagirdar

IPC: G06F1/28

Abstract: Embodiments are generally directed to dynamic power budget allocation in a multi-processor system. An embodiment of an apparatus includes a plurality of processor units; and a power control component, the power control component to monitor power utilization of each of the plurality of processor units, wherein power consumed by the plurality of processor units is limited by a global power budget. The apparatus is to assign a workload to each of the processor units and is to establish an initial power budget for operation of each of the processor units, and, upon the apparatus determining that one or more processor units require an increased power budget based on one or more criteria, the apparatus is to dynamically reallocate an amount of the global power budget to the one or more processor units.

公开(公告)号：US10444817B2

公开(公告)日：2019-10-15

申请号：US15488662

申请日：2017-04-17

Applicant: Intel Corporation

Inventor： Altug Koker ,  Abhishek R. Appu ,  Bhushan M. Borole ,  Wenyin Fu ,  Kamal Sinha ,  Joydeep Ray

IPC: G09G5/36 ,  G06F1/324 ,  G06F1/3234 ,  G06F1/3237 ,  G06F1/3296

Abstract: In one embodiment, a processor includes: a graphics processor to execute a workload; and a power controller coupled to the graphics processor. The power controller may include a voltage ramp circuit to receive a request for the graphics processor to operate at a first performance state having a first operating voltage and a first operating frequency and cause an output voltage of a voltage regulator to increase to the first operating voltage. The voltage ramp circuit may be configured to enable the graphics processor to execute the workload at an interim performance state having an interim operating voltage and an interim operating frequency when the output voltage reaches a minimum operating voltage. Other embodiments are described and claimed.

公开(公告)号：US10417734B2

公开(公告)日：2019-09-17

申请号：US15698217

申请日：2017-09-07

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 ,  G09G5/36 ,  G06F3/06 ,  G06N3/08 ,  G06F3/14 ,  G06N3/04 ,  G06N3/063 ,  G09G5/00

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a memory device including a first integrated circuit (IC) including a plurality of memory channels and a second IC including a plurality of processing units, each coupled to a memory channel in the plurality of memory channels.

公开(公告)号：US10403003B2

公开(公告)日：2019-09-03

申请号：US15494812

申请日：2017-04-24

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  Joydeep Ray ,  Balaji Vembu ,  Prasoonkumar Surti ,  Kamal Sinha ,  Nadathur Rajagopalan Satish ,  Narayan Srinivasa ,  Feng Chen ,  Dukhwan Kim ,  Farshad Akhbari

IPC: G06T9/00

Abstract: An apparatus to facilitate compute compression is disclosed. The apparatus includes a graphics processing unit including mapping logic to map a first block of integer pixel data to a compression block and compression logic to compress the compression block.

公开(公告)号：US10324721B2

公开(公告)日：2019-06-18

申请号：US15488947

申请日：2017-04-17

Applicant: Intel Corporation

Inventor： Anupama A. Thaploo ,  Bhushan M. Borole ,  Bee Ngo ,  Iqbal R. Rajwani ,  Altug Koker ,  Abhishek R. Appu ,  Kamal Sinha ,  Wenyin Fu

IPC: G11C11/00 ,  G06F9/30 ,  G11C17/18 ,  G11C17/16 ,  G06F13/40 ,  G11C11/4094 ,  G11C7/12

Abstract: By shutting off keeper transistors during pre-charge, the aging on these devices may be reduced. This means that a relatively weaker keeper may be used for noise compared to an overdesigned stronger keeper. Using a relatively weaker keeper circuit results in a faster evaluation stage and improved minimum read voltage in some embodiments.

公开(公告)号：US10304154B2

公开(公告)日：2019-05-28

申请号：US15495054

申请日：2017-04-24

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  John C. Weast ,  Mike B. Macpherson ,  Linda L. Hurd ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Prasoonkumar Surti ,  Chandrasekaran Sakthivel ,  Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan ,  Dukhwan Kim

IPC: G06T1/20 ,  G06N3/08

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.

公开(公告)号：US10261903B2

公开(公告)日：2019-04-16

申请号：US15489149

申请日：2017-04-17

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

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：US20190109582A1

公开(公告)日：2019-04-11

申请号：US16180604

申请日：2018-11-05

Applicant: Intel Corporation

Inventor： Bhushan M. Borole ,  Anupama A. Thaploo ,  Altug Koker ,  Abhishek R. Appu ,  Kamal Sinha ,  Wenyin Fu

IPC: H03K3/012 ,  H03K3/356 ,  H03K19/21

CPC classification number: H03K3/012 ,  H03K3/356 ,  H03K3/35606 ,  H03K19/215

Abstract: A pulse triggered flip flop circuit includes an exclusive OR clock generating stage that receives an input clock, data and produces an output clock pulse. The stage produces a output clock pulse that only goes away when the data is fully captured. The stage disables the output clock pulse only when the data is fully captured. Moreover, the circuit only toggles when the input data changes, reducing power consumption in some embodiments.

公开(公告)号：US20190073514A1

公开(公告)日：2019-03-07

申请号：US16181921

申请日：2018-11-06

Applicant: Intel Corporation

Inventor： Radhakrishnan Venkataraman ,  James M. Holland ,  Sayan Lahiri ,  Pattabhiraman K ,  Kamal Sinha ,  Chandrasekaran Sakthivel ,  Daniel Pohl ,  Vivek Tiwari ,  Philip R. Laws ,  Subramaniam Maiyuran ,  Abhishek R. Appu ,  ElMoustapha Ould-Ahmed-Vall ,  Peter L. Doyle ,  Devan Burke

IPC: G06K9/00 ,  G09G5/391 ,  G09G5/10

Abstract: Systems, apparatuses, and methods may provide for technology to dynamically control a display in response to ocular characteristic measurements of at least one eye of a user.

公开(公告)号：US20180315399A1

公开(公告)日：2018-11-01

申请号：US15819152

申请日：2017-11-21

Applicant: Intel Corporation

Inventor： Himanshu Kaul ,  Mark A. Anders ,  Sanu K. Mathew ,  Anbang Yao ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Rajkishore Barik ,  Tsung-Han Lin ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC: G09G5/36 ,  G06T1/20 ,  G09G5/393 ,  G06N99/00 ,  G06T15/00

CPC classification number: G06F9/3001 ,  G06F7/483 ,  G06F7/5443 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3851 ,  G06F2207/3824 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00 ,  G06T15/005 ,  G09G5/393

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.