公开(公告)号：US20170161942A1

公开(公告)日：2017-06-08

申请号：US15367507

申请日：2016-12-02

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ankur DESHWAL ,  Somya SINGHAL ,  Keshavan VARADARAJAN ,  Soma KOHLI

IPC: G06T15/80 ,  G06T15/00

CPC classification number: G06T15/005 ,  G06T1/20 ,  G06T11/40

Abstract: Provide are a methods and devices for processing graphics data in a graphics processing unit (GPU). The method of processing graphics data includes receiving, at a processor, a difference of Gaussian (DOG) layer of an image, detecting, from the received DOG layer, a candidate DOG layer of the image as an intermediate layer, detecting at least one extreme point by comparing values of the candidate DOG layer with values of a previous DOG layer and a next DOG layer, and storing the at least one extreme point in a buffer.

公开(公告)号：US20230186050A1

公开(公告)日：2023-06-15

申请号：US18107210

申请日：2023-02-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Saptarsi DAS ,  Sabitha KUSUMA ,  Sehwan LEE ,  Ankur DESHWAL ,  Kiran Kolar CHANDRASEKHARAN

IPC: G06N3/04 ,  G06F17/16

CPC classification number: G06N3/04 ,  G06F17/16

Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.

公开(公告)号：US20210150313A1

公开(公告)日：2021-05-20

申请号：US17098589

申请日：2020-11-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Arnab ROY ,  Saptarsi DAS ,  Ankur DESHWAL ,  Kiran Kolar CHANDRASEK HARAN ,  Sehwan LEE

IPC: G06N3/04 ,  G06F7/544

Abstract: A method for computing an inner product on a binary data, a ternary data, a non-binary data, and a non-ternary data using an electronic device. The method includes calculating the inner product on a ternary data, designing a fused bitwise data path to support the inner product calculation on the binary data and the ternary data, designing a FPL data path to calculate an inner product between one of the non-binary data and the non-ternary data and one of the binary data and the ternary data, and distributing the inner product calculation for the binary data and the ternary data and the inner product between one of the non-binary data and the non-ternary data and one of the binary data and the ternary data in the fused bitwise data path and the FPL data path.

公开(公告)号：US20240419970A1

公开(公告)日：2024-12-19

申请号：US18816769

申请日：2024-08-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yeshwanth VENKATESHA ,  Sundeep KRISHNADASAN ,  Ankur DESHWAL

IPC: G06N3/082 ,  G06N3/04

Abstract: Provided is a method and system with deep learning model generation. The method includes identifying a plurality of connections in a neural network that is pre-associated with a deep learning model, generating a plurality of pruned neural networks by pruning different sets of one or more of the plurality of connections to respectively generate each of the plurality of pruned neural networks, generating a plurality of intermediate deep learning models by generating a respective intermediate deep learning model corresponding to each of the plurality of pruned neural networks, and selecting one of the plurality of intermediate deep learning models, having a determined greatest accuracy among the plurality of intermediate deep learning models, to be an optimized deep learning model.

公开(公告)号：US20200293858A1

公开(公告)日：2020-09-17

申请号：US16816861

申请日：2020-03-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Saptarsi DAS ,  Sabitha KUSUMA ,  Sehwan LEE ,  Ankur DESHWAL ,  Kiran Kolar CHANDRASEKHARAN

IPC: G06N3/04 ,  G06F17/16

Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.

公开(公告)号：US20170161944A1

公开(公告)日：2017-06-08

申请号：US15366673

申请日：2016-12-01

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ankur DESHWAL ,  Vikash KUMAR ,  Keshavan VARADARAJAN ,  Parikshit KOLIPAKA ,  Soma KOHLI

IPC: G06T17/00 ,  G06T17/10

CPC classification number: G06T17/005 ,  G06T2210/12 ,  G06T2210/61

Abstract: A method and apparatus to construct a bounding volume hierarchy (BVH) tree includes: generating 2-dimensional (2D) tiles including primitives; converting the 2D tiles into 3-dimensional (3D) tiles; and constructing the BVH tree based on the 3D tiles.

公开(公告)号：US20130227569A1

公开(公告)日：2013-08-29

申请号：US13772021

申请日：2013-02-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Soma KOHLI ,  Ankur DESHWAL ,  Chethan K. PUTTANNA

IPC: G06F9/455

CPC classification number: G06F9/455 ,  G06F9/45558 ,  G06F2009/45562 ,  H04W4/38 ,  H04W4/60

Abstract: A system and a method for information acquisition of Wireless Sensor Network (WSN) data as a cloud based service are provided. An apparatus in the system including a WSN, a service cloud, and a device, includes a virtual sensor configured to receive data from a physical sensor in the WSN. The apparatus further includes a virtual sensor controller configured to receive a request for the data from the service cloud or the device, and spawn a virtual machine (VM) based on the request. The apparatus further includes the VM configured to transmit the data to the service cloud or the device.

Abstract translation: 提供了一种用于将无线传感器网络（WSN）数据作为基于云服务的信息获取的系统和方法。 包括WSN，服务云和设备的系统中的装置包括被配置为从WSN中的物理传感器接收数据的虚拟传感器。 该装置还包括虚拟传感器控制器，其被配置为从服务云或设备接收对数据的请求，并且基于该请求产生虚拟机（VM）。 该装置还包括被配置为将数据发送到服务云或设备的VM。