Abstract: Examples are disclosed that relate to tracking a pose of a handheld object used with a head-mounted display device. In one example, a method comprises: receiving image data from an image sensing system; detecting a plurality of feature points of the handheld object in a frame of the image data; receiving inertial measurement unit (IMU) data from an IMU of the handheld object; based on detecting the plurality of feature points and receiving the IMU data, determining a first pose of the handheld object; determining that at least a portion of the plurality of feature points is not detected in another frame of the image data; using the IMU data, updating the first pose of the handheld object to a second pose; and body-locking the second pose of the handheld object to a body location on a user wearing the head-mounted display device.

Abstract: Examples are disclosed that relate to tracking a pose of a handheld object used with a head-mounted display device. In one example, a method comprises: receiving image data from an image sensing system; detecting a plurality of feature points of the handheld object in a frame of the image data; receiving inertial measurement unit (IMU) data from an IMU of the handheld object; based on detecting the plurality of feature points and receiving the IMU data, determining a first pose of the handheld object; determining that at least a portion of the plurality of feature points is not detected in another frame of the image data; using the IMU data, updating the first pose of the handheld object to a second pose; and body-locking the second pose of the handheld object to a body location on a user wearing the head-mounted display device.

Abstract: Adaptive hardware reconfiguration of configurable co-processor cores for hardware optimization of functionality blocks based on use case prediction, and related methods, circuits, and computer-readable media are disclosed. In one embodiment, an indication of one or more applications for possible execution is received. Execution probabilities for respective ones of the one or more applications are received. One or more mappings of the one or more applications to one or more functionality blocks is accessed, and a net benefit of hardware reconfiguration of one or more configurable co-processor cores of a multicore central processing unit for the one or more functionality blocks is calculated based on the execution probabilities and the mappings. An optimal hardware reconfiguration is determined based on a current hardware configuration and the calculated net benefit. The configurable co-processor cores are reconfigured based on the optimal hardware reconfiguration.

Abstract: Adaptive hardware reconfiguration of configurable co-processor cores for hardware optimization of functionality blocks based on use case prediction, and related methods, circuits, and computer-readable media are disclosed. In one embodiment, an indication of one or more applications for possible execution is received. Execution probabilities for respective ones of the one or more applications are received. One or more mappings of the one or more applications to one or more functionality blocks is accessed, and a net benefit of hardware reconfiguration of one or more configurable co-processor cores of a multicore central processing unit for the one or more functionality blocks is calculated based on the execution probabilities and the mappings. An optimal hardware reconfiguration is determined based on a current hardware configuration and the calculated net benefit. The configurable co-processor cores are reconfigured based on the optimal hardware reconfiguration.