4results about How to "Control power consumption" patented technology

Systems and methods for ray intersection for primitives are described. The primitive data is efficiently encoded into an array of data blocks of fixed size using a data format that can directly consume for ray traversal. The vertex data in the block is pre-quantized and stored using a fixed bit quantization grid. Mesh connectivity is encoded using triangular stripes based on control values representing triangular interconnectivity and a compressed index buffer storing indices of vertices in each stripe. Alternatively, the primitives may be quantized to generate primitive packets that are stored compactly in, with, or near leaf nodes of the acceleration structure. A low precision intersection tester simultaneously tests light for primitives to find candidate triangles that require full precision intersection. The primitives that generate uncertain results during the low precision test are retested using a full precision tester to explicitly determine a ray-triangle hit or miss.

This disclosure provides a sensing device, comprising: a first pixel including a first SPAD unit configured to sense light in a first wavelength range to measure depth, wherein the first SPAD unit includes one or more SPADs; a second pixel including a second SPAD unit configured to sense light in a second wavelength range, wherein the second SPAD unit includes one or more SPADs; and a voltage source coupled to the first SPAD unit and the second SPAD unit, configured to apply a first bias voltage to the SPADs of the first SPAD unit and a second bias voltage to the SPADs of the second SPAD unit, wherein the first bias voltage is different from the second bias voltage. Through embodiments of this disclosure, depth information can be measured, and other information about the surrounding environment can also be sensed. Furthermore, by making the first bias voltage different from the second bias voltage, overall power consumption and heat generation can be effectively controlled while meeting measurement requirements.

The invention belongs to the technical field of airship SAR fine motion compensation. The invention provides an airship SAR fine motion compensation method based on a DSP. According to the embodiment of the invention, the PGA and MD algorithms are fused, low / high order errors are compensated through the PGA, the azimuth modulation frequency is accurately estimated through the MD, and the second-order phase residual error is corrected; and a high-frequency vibration space-variant model is constructed, and a time-varying phase error estimation module is introduced, so that the improvement of azimuth and distance resolution is ensured. A self-adaptive sub-block division strategy is designed, sub-apertures are overlapped by half length, and phase error continuity is guaranteed; a parameter self-optimization mechanism is introduced, and the PGA / MD sub-aperture length, the number of samples and the number of iterations are optimized in real time in combination with scene features. A PGA + MD refined model is constructed, the long aperture characteristic is adapted, and the DSP load is reduced; a real-time priority resource scheduling strategy is designed, high-frequency access data is stored by adopting an L2 cache to reduce delay, and power consumption is controlled while high resolution is guaranteed in combination with dynamic task allocation.

The application provides a dynamic voltage frequency adjustment method, device, equipment, medium and processor system, wherein the method comprises the following steps: acquiring performance information of a processor system, wherein the performance information comprises a workload, a temperature and power consumption; determining a frequency adjustment period and an adjustment level according to the performance information; and adjusting the voltage / frequency level of the processor system by one or more levels according to the adjustment level in the frequency adjustment period. By determining different frequency adjustment periods and adjustment levels according to the performance parameters of the processor system, the system power consumption can be controlled, the system performance can be improved, the stability of the system can be ensured, no additional device needs to be added to the processor system, the software implementation mode can be adopted, and the cost and complexity of hardware design are saved.