公开(公告)号：US20200159589A1

公开(公告)日：2020-05-21

申请号：US16690999

申请日：2019-11-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Timothy CAPES ,  Iqbal MOHOMED ,  Vishal RAHEJA ,  Mete KEMERTAS

IPC: G06F9/50 ,  G06N5/00 ,  G06N3/08 ,  G06K9/62 ,  G06N7/08

Abstract: A scheduling algorithm for scheduling training of deep neural network (DNN) weights on processing units identifies a next job to provisionally assign a processing unit (PU) based on a doubling heuristic. The doubling heuristic makes use of an estimated number of training sets needed to complete training of weights for a given job and/or a training speed function which indicates how fast the weights are converging. The scheduling algorithm solves a problem of efficiently assigning PUs when multiple DNN weight data structures must be trained efficiently. In some embodiments, the training of the weights uses a ring-based message passing architecture. In some embodiments, performance using a nested loop approach or nested loop fashion is provided. In inner iterations of the nested loop, PUs are scheduled and jobs are launched or re-started. In outer iterations of the nested loop, jobs are stopped, parameters are updated and the inner iteration is re-entered.

公开(公告)号：US20210193187A1

公开(公告)日：2021-06-24

申请号：US16725609

申请日：2019-12-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Caleb PHILLIPS ,  Iqbal MOHOMED ,  Afsaneh FAZLY ,  Allan JEPSON

IPC: G11B27/19 ,  G06K9/00 ,  G06F16/735 ,  G06F16/783

Abstract: An apparatus for video searching, includes a memory storing instructions, and a processor configured to execute the instructions to split a video into scenes, obtain, from the scenes into which the video is split, one or more textual descriptors describing each of the scenes, encode the obtained one or more textual descriptors describing each of the scenes into a video scene vector of each of the scenes, encode a user query into a query vector having a same semantic representation as that of the video scene vector of each of the scenes into which the one or more textual descriptors describing each of the scenes are encoded, and identify whether the video scene vector of at least one among the scenes corresponds to the query vector into which the user query is encoded.