公开(公告)号：US10469822B2

公开(公告)日：2019-11-05

申请号：US15471710

申请日：2017-03-28

Applicant: Oracle International Corporation

Inventor： Venkatanathan Varadarajan ,  Arun Raghavan ,  Sam Idicula ,  Nipun Agarwal

IPC: H04N13/128 ,  G06T7/593 ,  H04N13/00

Abstract: Techniques described herein provide methods and systems for scalable distribution of computer vision workloads. In an embodiment, a method comprises receiving, at each of a first node and a second node of a distributed system of nodes, two images. The first image comprises a first set of pixels and the second image comprising a second set of pixels. The method further comprises shifting, at the first node, each pixel of the first set of pixels of the first image in a uniform direction by a first number of pixels to form a first shifted image and shifting, at the second node, each pixel of the first set of pixels of the first image in the uniform direction by a second number of pixels to form a second shifted image. The second number of pixels is different from the first number of pixels. The method further comprises overlaying each of the first shifted image and the second shifted image with the second image, such that each pixel of the first shifted image and second shifted image has a corresponding pixel in the second image. The method further comprises creating, at the first node, a first disparity map that indicates, for each pixel of the first shifted image, a level of similarity between the pixel of the first shifted image and the corresponding pixel in the second image and creating, at the second node, a second disparity map that indicates, for each pixel of the second shifted image, a level of similarity between the pixel of the second shifted image and the corresponding pixel in the second image.

公开(公告)号：US10417128B2

公开(公告)日：2019-09-17

申请号：US14705806

申请日：2015-05-06

Applicant: Oracle International Corporation

Inventor： Andrea Di Blas ,  Aarti Basant ,  Arun Raghavan ,  Nipun Agarwal

IPC: G06F12/0831 ,  G06F12/0837

Abstract: Techniques are described for memory coherence in a multi-core system with a heterogeneous memory architecture comprising one or more hardware-managed caches and one or more software-managed caches. According to one embodiment, a set of one or more buffers are allocated in memory, and each respective buffer is associated with a respective metadata tag. The metadata tag may be used to store metadata that identifies a state associated with the respective buffer. The multi-core system may enforce coherence for the one or more hardware-managed caches and the one or more software-managed caches based on the metadata stored in the metadata tag for each respective buffer in the set of one or more buffers. The multi-core system may read the metadata to determine whether a particular buffer is in a hardware-managed or a software-managed cacheable state. Based on the current state of the particular buffer, the multi-core system may perform coherence operations.

公开(公告)号：US20180288384A1

公开(公告)日：2018-10-04

申请号：US15471710

申请日：2017-03-28

Applicant: Oracle International Corporation

Inventor： Venkatanathan Varadarajan ,  Arun Raghavan ,  Sam Idicula ,  Nipun Agarwal

IPC: H04N13/00 ,  G06T1/20

CPC classification number: H04N13/128 ,  G06T7/593 ,  G06T2200/28 ,  G06T2207/10012 ,  H04N2013/0081

Abstract: Techniques described herein provide methods and systems for scalable distribution of computer vision workloads. In an embodiment, a method comprises receiving, at each of a first node and a second node of a distributed system of nodes, two images. The first image comprises a first set of pixels and the second image comprising a second set of pixels. The method further comprises shifting, at the first node, each pixel of the first set of pixels of the first image in a uniform direction by a first number of pixels to form a first shifted image and shifting, at the second node, each pixel of the first set of pixels of the first image in the uniform direction by a second number of pixels to form a second shifted image. The second number of pixels is different from the first number of pixels. The method further comprises overlaying each of the first shifted image and the second shifted image with the second image, such that each pixel of the first shifted image and second shifted image has a corresponding pixel in the second image. The method further comprises creating, at the first node, a first disparity map that indicates, for each pixel of the first shifted image, a level of similarity between the pixel of the first shifted image and the corresponding pixel in the second image and creating, at the second node, a second disparity map that indicates, for each pixel of the second shifted image, a level of similarity between the pixel of the second shifted image and the corresponding pixel in the second image.