Biao Wang Livres

The increasing demand for high-quality video decoding poses significant computational challenges for traditional Central Processing Unit (CPU) architectures. Graphics Processing Units (GPUs) generally offer superior computational power, but efficient GPU execution hinges on achieving massive parallelism and minimal execution divergence—criteria not met by all video decoding kernels. This research investigates the effective utilization of GPUs in video decoding applications, addressing challenges such as workload distribution between CPU and GPU, task optimizations across these heterogeneous devices, and their efficient communication. A complete parallel HEVC decoder was developed for CPU+GPU systems, leveraging available decoding parallelism on both devices. Two workload balancing schemes were implemented to adapt to variations in computational resources. An energy measurement module was also created for efficiency analysis. Results indicated that suitable decoding kernels can be accelerated significantly (up to 28.2×) on GPUs. At the application level, GPU architecture provides substantial acceleration with a limited number of CPU cores (1 to 8). For instance, on a system with an NVIDIA Titan X Maxwell GPU and an Intel Xeon E5-2699v3 CPU using four cores, the proposed HEVC decoder achieves 167 frames per second for 4K videos, yielding a 2.2× speedup over the state-of-the-art CPU decoder. However, when more than eight CPU core

Mechanics of Advanced Functional Materials emphasizes the coupling effect between the electric and mechanical field in the piezoelectric, ferroelectric and other functional materials. It also discusses the size effect on the ferroelectric domain instability and phase transition behaviors using the continuum micro-structural evolution models. Functional materials usually have a very wide application in engineering due to their unique thermal, electric, magnetic, optoelectronic, etc., functions. Almost all the applications demand that the material should have reasonable stiffness, strength, fracture toughness and the other mechanical properties. Furthermore, usually the stress and strain fields on the functional materials and devices have some important coupling effect on the functionality of the materials. Much progress has been made concerning the coupling electric and mechanical behaviors such as the coupled electric and stress field distribution in piezoelectric solids, ferroelectric domain patterns in ferroelectrics, fracture and failure properties under coupled electric and stress field, etc. The book is intended for researchers and postgraduate students in the fields of mechanics, materials sciences and applied physics who are interested to work on the interdisciplinary mathematical modeling of the functional materials. Prof. Biao Wang is the Dean of School of Physics and Engineering of the Sun Yat-sen University, China.