Patent classifications
G06T1/20
High-definition city mapping
A vehicle generates a city-scale map. The vehicle includes one or more Lidar sensors configured to obtain point clouds at different positions, orientations, and times, one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to perform registering, in pairs, a subset of the point clouds based on respective surface normals of each of the point clouds; determining loop closures based on the registered subset of point clouds; determining a position and an orientation of each of the subset of the point clouds based on constraints associated with the determined loop closures; and generating a map based on the determined position and the orientation of each of the subset of the point clouds.
Neural network training mechanism
- Gokcen Cilingir ,
- Elmoustapha Ould-Ahmed-Vall ,
- Rajkishore Barik ,
- Kevin Nealis ,
- Xiaoming Chen ,
- Justin E. Gottschlich ,
- Prasoonkumar Surti ,
- Chandrasekaran Sakthivel ,
- Abhishek Appu ,
- John C. Weast ,
- Sara S. Baghsorkhi ,
- Barnan Das ,
- Narayan Biswal ,
- Stanley J. Baran ,
- Nilesh V. Shah ,
- Archie Sharma ,
- Mayuresh M. Varerkar
An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.
Neural network training mechanism
- Gokcen Cilingir ,
- Elmoustapha Ould-Ahmed-Vall ,
- Rajkishore Barik ,
- Kevin Nealis ,
- Xiaoming Chen ,
- Justin E. Gottschlich ,
- Prasoonkumar Surti ,
- Chandrasekaran Sakthivel ,
- Abhishek Appu ,
- John C. Weast ,
- Sara S. Baghsorkhi ,
- Barnan Das ,
- Narayan Biswal ,
- Stanley J. Baran ,
- Nilesh V. Shah ,
- Archie Sharma ,
- Mayuresh M. Varerkar
An apparatus to facilitate neural network (NN) training is disclosed. The apparatus includes training logic to receive one or more network constraints and train the NN by automatically determining a best network layout and parameters based on the network constraints.
VGPU scheduling policy-aware migration
Disclosed are aspects of virtual graphics processing unit (vGPU) scheduling-aware virtual machine migration. Graphics processing units (GPUs) that are compatible with a current virtual GPU (vGPU) profile for a virtual machine are identified. A scheduling policy matching order for a migration of the virtual machine is determined based on a current vGPU scheduling policy for the virtual machine. A destination GPU is selected based on a vGPU scheduling policy of the destination GPU being identified as a best available vGPU scheduling policy according to the scheduling policy matching order. The virtual machine is migrated to the destination GPU.
VGPU scheduling policy-aware migration
Disclosed are aspects of virtual graphics processing unit (vGPU) scheduling-aware virtual machine migration. Graphics processing units (GPUs) that are compatible with a current virtual GPU (vGPU) profile for a virtual machine are identified. A scheduling policy matching order for a migration of the virtual machine is determined based on a current vGPU scheduling policy for the virtual machine. A destination GPU is selected based on a vGPU scheduling policy of the destination GPU being identified as a best available vGPU scheduling policy according to the scheduling policy matching order. The virtual machine is migrated to the destination GPU.
Method and device for allowing simulator to analyze radio wave environment in wireless communication system
Disclosed is a 5G or pre-5G communication system for supporting a data transmission rate higher than that of a 4G communication system such as LTE. The present invention relates to a method by which a simulator analyzes a radio wave environment in a wireless communication system, and the method of the present invention comprises the steps of: allowing a simulator to receive geographic information and position information by which a transmitter and a receiver can be positioned in the geographic information; generating, by the transmitter of the simulator arranged at a random position in accordance with the position information, radio waves for at least one direction of a sphere having a fixed radius; grouping into at least one group on the basis of a traveling route of the generated radio waves; setting each group as an operation unit (Warp/Wavefront) for a graphics processing unit (GPU); and analyzing a radio wave environment by using the GPU in which the operation unit is set.
Method and device for allowing simulator to analyze radio wave environment in wireless communication system
Disclosed is a 5G or pre-5G communication system for supporting a data transmission rate higher than that of a 4G communication system such as LTE. The present invention relates to a method by which a simulator analyzes a radio wave environment in a wireless communication system, and the method of the present invention comprises the steps of: allowing a simulator to receive geographic information and position information by which a transmitter and a receiver can be positioned in the geographic information; generating, by the transmitter of the simulator arranged at a random position in accordance with the position information, radio waves for at least one direction of a sphere having a fixed radius; grouping into at least one group on the basis of a traveling route of the generated radio waves; setting each group as an operation unit (Warp/Wavefront) for a graphics processing unit (GPU); and analyzing a radio wave environment by using the GPU in which the operation unit is set.
Eye image selection
Systems and methods for eye image set selection, eye image collection, and eye image combination are described. Embodiments of the systems and methods for eye image set selection can include comparing a determined image quality metric with an image quality threshold to identify an eye image passing an image quality threshold, and selecting, from a plurality of eye images, a set of eye images that passes the image quality threshold.
Eye image selection
Systems and methods for eye image set selection, eye image collection, and eye image combination are described. Embodiments of the systems and methods for eye image set selection can include comparing a determined image quality metric with an image quality threshold to identify an eye image passing an image quality threshold, and selecting, from a plurality of eye images, a set of eye images that passes the image quality threshold.
Apparatus and method for data-parallel ray tracing using volume proxies
An apparatus and method are described for utilizing volume proxies. For example, one embodiment of an apparatus comprises: a volume subdivision module to subdivide a volume into a plurality of partitions, the apparatus to process a first of the partitions and to distribute data associated with each of the other partitions to each of a plurality of nodes; a proxy generation module to compute a first proxy for the first partition, the first proxy to be transmitted to the plurality of nodes; and a ray tracing engine to perform one or more traversal/intersection operations for a current ray or group of rays using the first proxy; if the ray or group of rays interacts with the first proxy, then the ray tracing engine to send the ray(s) to a second node associated with the first proxy or retrieves data related to the interaction from the second node.