公开(公告)号：US20250156984A1

公开(公告)日：2025-05-15

申请号：US18510206

申请日：2023-11-15

Applicant: NVIDIA Corporation

Inventor： Paul Martin Springer ,  Markus Hoehnerbach ,  Christos Psarras ,  Ali Mohamad Charara ,  Adam Jedrych ,  Yao-Lung Fang ,  Satya Narayan Varadhan

IPC: G06T1/20 ,  G06T1/60

Abstract: Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and/or one of one or more indications of an amount of storage to be used to perform the one or more operations.

公开(公告)号：US20210064987A1

公开(公告)日：2021-03-04

申请号：US16559544

申请日：2019-09-03

Applicant: NVIDIA Corporation

Inventor： Paul Martin Springer ,  Chenhan Yu

IPC: G06N3/08 ,  G06F7/57

Abstract: Apparatuses, systems, and techniques to convert between tensor convolution and tensor contraction operations. In at least one embodiment, one or more convolution operations are performed on image data by at least contracting one or more tensors to generate one or more feature maps.

公开(公告)号：US20250156683A1

公开(公告)日：2025-05-15

申请号：US18510213

申请日：2023-11-15

Applicant: NVIDIA Corporation

Inventor： Paul Martin Springer ,  Markus Hoehnerbach ,  Christos Psarras ,  Ali Mohamad Charara ,  Adam Jedrych ,  Yao-Lung Fang ,  Satya Narayan Varadhan

IPC: G06N3/0455 ,  G06F12/02

Abstract: Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and/or one of one or more indications of an amount of storage to be used to perform the one or more operations.

公开(公告)号：US11625605B2

公开(公告)日：2023-04-11

申请号：US16723608

申请日：2019-12-20

Applicant: Nvidia Corporation

Inventor： Jonathan Edward Barker ,  Christopher Thomas Cheng ,  Paul Martin Springer ,  Wojciech Jablonski

IPC: G06N3/08 ,  G06F17/16 ,  G06F7/57 ,  G06N3/04

Abstract: Apparatuses, systems, and techniques to optimize kernel selection for performing a computation. In at least one embodiment, a neural network is trained and utilized to generate a list of kernels so that an (e.g., optimal) kernel may be identified. The neural network receives characteristics of the input matrices and determines relevancy scores for a list of possible kernels. Based on an ordered listing of kernels by relevant score, a kernel is selected from the list and utilized to perform the computation and provide the result.

公开(公告)号：US20250156205A1

公开(公告)日：2025-05-15

申请号：US18510210

申请日：2023-11-15

Applicant: NVIDIA Corporation

Inventor： Paul Martin Springer ,  Markus Hoehnerbach ,  Christos Psarras ,  Ali Mohamad Charara ,  Adam Jedrych ,  Yao-Lung Fang ,  Satya Narayan Varadhan

IPC: G06F9/455 ,  G06F8/36

Abstract: Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and/or one of one or more indications of an amount of storage to be used to perform the one or more operations.

公开(公告)号：US20240338175A1

公开(公告)日：2024-10-10

申请号：US18141917

申请日：2023-05-01

Applicant: NVIDIA Corporation

Inventor： Paul Martin Springer ,  Ali Mohamad Charara ,  Markus Hoehnerbach ,  Andreas Roland Hehn

IPC: G06F7/24 ,  G06F7/483 ,  G06F7/78

CPC classification number: G06F7/24 ,  G06F7/483 ,  G06F7/78

Abstract: Apparatuses, systems, and techniques to store tensor operands. In at least one embodiment, modes of one or more tensor operands are sorted based, at least in part, on one or more performance metrics of one or more tensor operations to be performed using said one or more tensor operands.

公开(公告)号：US20230229916A1

公开(公告)日：2023-07-20

申请号：US18157608

申请日：2023-01-20

Applicant: NVIDIA Corporation

Inventor： Gal Chechik ,  Eli Alexander Meirom ,  Haggai Maron ,  Brucek Kurdo Khailany ,  Paul Martin Springer ,  Shie Mannor

IPC: G06N3/08 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06N3/045

Abstract: A method for contracting a tensor network is provided. The method comprises generating a graph representation of the tensor network, processing the graph representation to determine a contraction for the tensor network by an agent that implements a reinforcement learning algorithm, and processing the tensor network in accordance with the contraction to generate a contracted tensor network.