In this study, we pursue two main innovations. First, evaluate the predictive value of climate policy uncertainty (CPU) for oil market volatility. Second, demonstrate how an investor can exploit information contents CPU to gain higher returns. We find that increased values heighten crude risk, while forecast gains are achieved in a model accommodates CPU. further show observing offers portfolio...

CPU is a major source of power consumption in smartphones. Power modeling is a key technology to understand CPU power consumption and also an important tool for power management on smartphones. However, we have found that existing CPU power models on smartphones are ill-suited for modern multicore CPUs: they can give high estimation errors (up to 34%) and high estimation accuracy variation (mor...

BACKGROUND Cellular phone use (CPU) is an important part of life for many adolescents. However, problematic CPU may complicate physiological and psychological problems. The aim of our study was to examine the associations between problematic CPU and a series of risky behaviors and low self-esteem in Taiwanese adolescents. METHODS A total of 11,111 adolescent students in Southern Taiwan were r...

Abstract Although GPUs have been used to accelerate various convolutional neural network algorithms with good performance, the demand for performance improvement is still continuously increasing. CPU/GPU overclocking technology brings opportunities further in CPU-GPU heterogeneous platforms. However, inevitably increases power of CPU/GPU, which not conducive energy conservation, efficiency opti...

In the virtualization based cloud computing environment, multiple computers are allowed to run as virtual machines (VM) in a single physical computer. Efficient scheduling of limited underlying resources has been a key issue. This paper presents a formal method of CPU resources scheduling (FRS). VMs are divided into three resources statuses according to resources requirements and their run info...

In this paper, we evaluate the performance of morphological operations in central processing unit (CPU) and graphics processing unit (GPU) on various sizes of image and structuring element. The languages selected for algorithm implementation are C++, Matlab for CPU and CUDA for GPU. The parallel programming approach using threads for image analysis is done on basic entities of images. The morph...