Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute an intermediate product of 16-bit operands and to compute a 32-bit sum based on the intermediate product.

Abstract: Systems and methods are provided for calibrating camera and measuring offsets for reducing distortions on images. The calibrating includes aligning an on-board image sensor and a lens barrel using a kinematic mount and affixing the onboard image sensor and the lens barrel to assemble a camera. The kinematic mount provides a predetermined number of degrees of freedom in aligning the on-board image sensor and the lens barrel. A device embeds the camera. The measuring includes receiving the camera in the kinematic mount and measuring an opposing pair of offset values as measured optical centers from the lens optical axis to the image sensor pointing reference at yaw orientations of the camera at 0 degree and 180 degrees. The method determines a total offset value by taking an average of the pair and canceling the rotationally symmetrical error. The method uses the offset value for reducing distortions on images by de-warping.

Abstract: Systems and methods are provided for calibrating camera and measuring offsets for reducing distortions on images. The calibrating includes aligning an on-board image sensor and a lens barrel using a kinematic mount and affixing the onboard image sensor and the lens barrel to assemble a camera. The kinematic mount provides a predetermined number of degrees of freedom in aligning the on-board image sensor and the lens barrel. A device embeds the camera. The measuring includes receiving the camera in the kinematic mount and measuring an opposing pair of offset values as measured optical centers from the lens optical axis to the image sensor pointing reference at yaw orientations of the camera at 0 degree and 180 degrees. The method determines a total offset value by taking an average of the pair and canceling the rotationally symmetrical error. The method uses the offset value for reducing distortions on images by de-warping.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: Systems and methods are provided for calibrating camera and measuring offsets for reducing distortions on images. The calibrating includes aligning an on-board image sensor and a lens barrel using a kinematic mount and affixing the onboard image sensor and the lens barrel to assemble a camera. The kinematic mount provides a predetermined number of degrees of freedom in aligning the on-board image sensor and the lens barrel. A device embeds the camera. The measuring includes receiving the camera in the kinematic mount and measuring an opposing pair of offset values as measured optical centers from the lens optical axis to the image sensor pointing reference at yaw orientations of the camera at 0 degree and 180 degrees. The method determines a total offset value by taking an average of the pair and canceling the rotationally symmetrical error. The method uses the offset value for reducing distortions on images by de-warping.

Abstract: Systems and methods are provided for calibrating camera and measuring offsets for reducing distortions on images. The calibrating includes aligning an on-board image sensor and a lens barrel using a kinematic mount and affixing the onboard image sensor and the lens barrel to assemble a camera. The kinematic mount provides a predetermined number of degrees of freedom in aligning the on-board image sensor and the lens barrel. A device embeds the camera. The measuring includes receiving the camera in the kinematic mount and measuring an opposing pair of offset values as measured optical centers from the lens optical axis to the image sensor pointing reference at yaw orientations of the camera at 0 degree and 180 degrees. The method determines a total offset value by taking an average of the pair and canceling the rotationally symmetrical error. The method uses the offset value for reducing distortions on images by de-warping.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.

Abstract: Disclosed herein is a data estimation technique for a data intake and query system. The system receives user inputs indicative that a first data source is to be the subject of a storage related estimate. The system receives a first plurality of events generated by the first data source. The system indexes only a sample of the received first plurality of events, based on a sampling criterion, where the sample is fewer than all of the first plurality of events. The system generates the storage related estimate based on at least some of the first plurality of events, and causes an indication of the estimate to be output to a user.