公开(公告)号：US09223389B2

公开(公告)日：2015-12-29

申请号：US14496233

申请日：2014-09-25

Applicant: Intel Corporation

Inventor： Sanjeev Jahagirdar ,  Varghese George ,  John B. Conrad ,  Robert Milstrey ,  Stephen A. Fischer ,  Alon Naveh ,  Shai Rotem

IPC: G06F1/32 ,  G06F12/08 ,  G06F11/14 ,  G11C7/10

CPC classification number: G06F1/3287 ,  G06F1/3203 ,  G06F1/324 ,  G06F1/3243 ,  G06F1/3246 ,  G06F1/3275 ,  G06F1/3293 ,  G06F1/3296 ,  G06F9/4418 ,  G06F11/1441 ,  G06F12/084 ,  G06F12/0875 ,  G06F2212/281 ,  G06F2212/305 ,  G06F2212/314 ,  G11C7/1072 ,  Y02B70/123 ,  Y02B70/126 ,  Y02B70/32 ,  Y02D10/152 ,  Y02D10/172 ,  Y02D50/20 ,  Y02P80/11 ,  Y10T307/305 ,  Y10T307/406 ,  Y10T307/582 ,  Y10T307/826

Abstract: Embodiments of the invention relate to a method and apparatus for a zero voltage processor sleep state. A processor may include a dedicated cache memory. A voltage regulator may be coupled to the processor to provide an operating voltage to the processor. During a transition to a zero voltage power management state for the processor, the operational voltage applied to the processor by the voltage regulator may be reduced to approximately zero and the state variables associated with the processor may be saved to the dedicated cache memory.

Abstract translation: 本发明的实施例涉及一种用于零电压处理器睡眠状态的方法和装置。 处理器可以包括专用高速缓存存储器。 电压调节器可以耦合到处理器以向处理器提供工作电压。 在处理器转换到零电压电源管理状态期间，电压调节器施加到处理器的工作电压可以减小到大约零，并且与处理器相关联的状态变量可以被保存到专用高速缓冲存储器。

公开(公告)号：US08732399B2

公开(公告)日：2014-05-20

申请号：US13787311

申请日：2013-03-06

Applicant: Intel Corporation

Inventor： Sanjeev Jahagirdar ,  Varghese George ,  Jose P. Allarey

IPC: G06F12/00 ,  G06F13/00 ,  G06F13/28

CPC classification number: G06F1/3287 ,  G06F1/3203 ,  G06F1/3275 ,  G06F12/0811 ,  G06F12/0831 ,  G06F12/084 ,  G06F2212/1024 ,  G06F2212/1028 ,  G06F2212/1048 ,  Y02D10/13 ,  Y02D10/14 ,  Y02D50/20

Abstract: A technique to retain cached information during a low power mode, according to at least one embodiment. In one embodiment, information stored in a processor's local cache is saved to a shared cache before the processor is placed into a low power mode, such that other processors may access information from the shared cache instead of causing the low power mode processor to return from the low power mode to service an access to its local cache.

Abstract translation: 根据至少一个实施例的在低功率模式下保持缓存信息的技术。 在一个实施例中，存储在处理器的本地高速缓存中的信息在处理器被置于低功率模式之前被保存到共享高速缓存，使得其他处理器可以从共享高速缓存访​​问信息，而不是使低功率模式处理器从 低功耗模式来访问其本地缓存。

公开(公告)号：US20250103430A1

公开(公告)日：2025-03-27

申请号：US18907092

申请日：2024-10-04

Applicant: Intel Corporation

Inventor： Vasanth Ranganathan ,  Joydeep Ray ,  Abhishek R. Appu ,  Nikos Kaburlasos ,  Lidong Xu ,  Subramaniam Maiyuran ,  Altug Koker ,  Naveen Matam ,  James Holland ,  Brent Insko ,  Sanjeev Jahagirdar ,  Scott Janus ,  Durgaprasad Bilagi ,  Xinmin Tian

IPC: G06F11/10 ,  G06F12/0802 ,  G06T1/20 ,  G06T1/60

Abstract: Apparatuses including a graphics processing unit, graphics multiprocessor, or graphics processor having an error detection correction logic for cache memory or shared memory are disclosed. In one embodiment, a graphics multiprocessor includes cache or local memory for storing data and error detection correction circuitry integrated with or coupled to the cache or local memory. The error detection correction circuitry is configured to perform a tag read for data of the cache or local memory to check error detection correction information.

公开(公告)号：US20250094170A1

公开(公告)日：2025-03-20

申请号：US18901027

申请日：2024-09-30

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: G06F9/30 ,  G06F1/16 ,  G06F7/483 ,  G06F7/544 ,  G06F9/38 ,  G06F17/16 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00 ,  G06T15/00 ,  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.

公开(公告)号：US20250061535A1

公开(公告)日：2025-02-20

申请号：US18820907

申请日：2024-08-30

Applicant: Intel Corporation

Inventor： Naveen Matam ,  Lance Cheney ,  Eric Finley ,  Varghese George ,  Sanjeev Jahagirdar ,  Altug Koker ,  Josh Mastronarde ,  Iqbal Rajwani ,  Lakshminarayanan Striramassarma ,  Melaku Teshome ,  Vikranth Vemulapalli ,  Binoj Xavier

IPC: G06T1/20 ,  G06F13/40

Abstract: Embodiments described herein provide techniques to disaggregate an architecture of a system on a chip integrated circuit into multiple distinct chiplets that can be packaged onto a common chassis. In one embodiment, a graphics processing unit or parallel processor is composed from diverse silicon chiplets that are separately manufactured. A chiplet is an at least partially and distinctly packaged integrated circuit that includes distinct units of logic that can be assembled with other chiplets into a larger package. A diverse set of chiplets with different IP core logic can be assembled into a single device.

公开(公告)号：US12141578B2

公开(公告)日：2024-11-12

申请号：US17115989

申请日：2020-12-09

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: G06F9/30 ,  G06F7/483 ,  G06F7/544 ,  G06F9/38 ,  G06N3/044 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G09G5/393 ,  G06F17/16 ,  G06N20/00 ,  G06T15/00

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.

公开(公告)号：US12056789B2

公开(公告)日：2024-08-06

申请号：US18455128

申请日：2023-08-24

Applicant: Intel Corporation

Inventor： Naveen Matam ,  Lance Cheney ,  Eric Finley ,  Varghese George ,  Sanjeev Jahagirdar ,  Altug Koker ,  Josh Mastronarde ,  Iqbal Rajwani ,  Lakshminarayanan Striramassarma ,  Melaku Teshome ,  Vikranth Vemulapalli ,  Binoj Xavier

IPC: G06T1/20 ,  G06F13/40

CPC classification number: G06T1/20 ,  G06F13/4027

Abstract: Embodiments described herein provide techniques to disaggregate an architecture of a system on a chip integrated circuit into multiple distinct chiplets that can be packaged onto a common chassis. In one embodiment, a graphics processing unit or parallel processor is composed from diverse silicon chiplets that are separately manufactured. A chiplet is an at least partially and distinctly packaged integrated circuit that includes distinct units of logic that can be assembled with other chiplets into a larger package. A diverse set of chiplets with different IP core logic can be assembled into a single device.

公开(公告)号：US11763416B2

公开(公告)日：2023-09-19

申请号：US17500375

申请日：2021-10-13

Applicant: Intel Corporation

Inventor： Naveen Matam ,  Lance Cheney ,  Eric Finley ,  Varghese George ,  Sanjeev Jahagirdar ,  Altug Koker ,  Josh Mastronarde ,  Iqbal Rajwani ,  Lakshminarayanan Striramassarma ,  Melaku Teshome ,  Vikranth Vemulapalli ,  Binoj Xavier

IPC: G06T1/20 ,  G06F13/40

CPC classification number: G06T1/20 ,  G06F13/4027

Abstract: Embodiments described herein provide techniques to disaggregate an architecture of a system on a chip integrated circuit into multiple distinct chiplets that can be packaged onto a common chassis. In one embodiment, a graphics processing unit or parallel processor is composed from diverse silicon chiplets that are separately manufactured. A chiplet is an at least partially and distinctly packaged integrated circuit that includes distinct units of logic that can be assembled with other chiplets into a larger package. A diverse set of chiplets with different IP core logic can be assembled into a single device.

公开(公告)号：US11592817B2

公开(公告)日：2023-02-28

申请号：US15581124

申请日：2017-04-28

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  John C. Weast ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Prasoonkumar Surti ,  Chandrasekaran Sakthivel ,  Altug Koker ,  Farshad Akhbari ,  Feng Chen ,  Dukhwan Kim ,  Narayan Srinivasa ,  Nadathur Rajagopalan Satish ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Mike B. Macpherson ,  Linda L. Hurd ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan

IPC: G06N3/063 ,  G06N3/08 ,  G06N3/04 ,  G05D1/00 ,  G06F9/50 ,  G06N3/084

Abstract: A mechanism is described for facilitating storage management for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting one or more components associated with machine learning, where the one or more components include memory and a processor coupled to the memory, and where the processor includes a graphics processor. The method may further include allocating a storage portion of the memory and a hardware portion of the processor to a machine learning training set, where the storage and hardware portions are precise for implementation and processing of the training set.

公开(公告)号：US20220366527A1

公开(公告)日：2022-11-17

申请号：US17871781

申请日：2022-07-22

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 ,  G06F9/46 ,  G06N3/04 ,  G06N3/063 ,  G06N3/08

Abstract: A mechanism is described for facilitating inference coordination and processing utilization for machine learning. A method of embodiments, as described herein, includes limiting execution of workloads for the respective contexts of a plurality of contexts to a specified subset of a plurality of processing resources of a processing system according to physical resource slices of the processing system that are associated with the respective contexts of the plurality of contexts.