公开(公告)号：US11693667B2

公开(公告)日：2023-07-04

申请号：US17692571

申请日：2022-03-11

Applicant: NVIDIA Corporation

Inventor： Joshua Patterson ,  Leeann Chau Tuyet Dang ,  Keith Jason Kraus ,  Allan Rabbitt Enemark ,  Frank Joseph Eaton ,  Bradley Stuart Rees ,  Michael Evan Wendt ,  Mark Jason Harris

IPC: G06F13/16 ,  G06N20/00 ,  G06N3/02 ,  G06F9/38 ,  G06N3/08 ,  G06F9/30 ,  G06T1/20

CPC classification number: G06F9/3881 ,  G06F9/30043 ,  G06F9/3822 ,  G06F13/1663 ,  G06N3/02 ,  G06N3/08 ,  G06N20/00 ,  G06T1/20 ,  G06F2009/3883

Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.

公开(公告)号：US20220197664A1

公开(公告)日：2022-06-23

申请号：US17692571

申请日：2022-03-11

Applicant: NVIDIA Corporation

Inventor： Joshua Patterson ,  Leeann Chau Tuyet Dang ,  Keith Jason Kraus ,  Allan Rabbitt Enemark ,  Frank Joseph Eaton ,  Bradley Stuart Rees ,  Michael Evan Wendt ,  Mark Jason Harris

IPC: G06F9/38 ,  G06N3/02 ,  G06N20/00 ,  G06N3/08 ,  G06T1/20 ,  G06F9/30

Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.

公开(公告)号：US11307863B1

公开(公告)日：2022-04-19

申请号：US16596755

申请日：2019-10-08

Applicant: NVIDIA Corporation

Inventor： Joshua Patterson ,  Leeann Chau Tuyet Dang ,  Keith Jason Kraus ,  Allan Rabbitt Enemark ,  Frank Joseph Eaton ,  Bradley Stuart Rees ,  Michael Evan Wendt ,  Mark Jason Harris

IPC: G06N3/08 ,  G06N3/02 ,  G06N20/00 ,  G06T1/20 ,  G06F9/38 ,  G06F9/30

Abstract: Systems and methods are provided for efficiently performing processing intensive operations, such as those involving large volumes of data, that enable accelerated processing time of these operations. In at least one embodiment, a system includes a graphics processor unit (GPU) including a memory and a plurality of cores. The plurality of cores perform a plurality of data analytics operations on a respectively allocated portion of a dataset, each of the plurality of cores using only the memory to store data input for each of the plurality of data analytics operations performed by the plurality of cores. The data storage for the plurality of data analytics operations performed by the plurality of cores is also provided solely by the memory.