High-performance Video Decoding using Graphics Processing Units : Dissertationsschrift
Biao Wang
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
New - Soft cover
Condition: New
Quantity: 2 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since August 14, 2006
Condition: New
Quantity: 2 available
Add to basketDruck auf Anfrage Neuware - Printed after ordering - The increasing demand of decoding high-quality videos can lead to a challenging com-putational requirement for conventional Central Processing Unit (CPU) architectures.Graphics Processing Units (GPUs) in general provide higher computational powerthan CPUs. Efficient GPU execution, however, requires massive parallelism and little ex-ecuting divergence, two criteria are not fully met by all video decoding kernels. This thesisexploits how GPUs can be effectively used in video decoding applications. The challengesinclude proper workload distribution between the CPU and GPU, task optimizations ontwo heterogeneous devices, and efficient communication between them.A complete parallel HEVC decoder was proposed for heterogeneous CPU+GPUsystems. We exploited available decoding parallelism on the CPU, GPU, and between thetwo devices simultaneously. On top of the parallel design, two workload balancing schemeswere implemented, in order to adapt computation resource variation on CPU and GPU.In addition, an energy measurement module was developed for energy efficiency analysis.Evaluated results showed that suitable decoding kernels can be accelerated substan-tially (up to 28.2×) on GPUs at the kernel level. At the application level, using GPUarchitecture can provide significant acceleration when only a low number (1 to 8) of CPUcores are available. On a system consisting of an NVIDIA Titan X Maxwell GPU and anIntel Xeon E5-2699v3 CPU, with four CPU cores, the proposed HEVC decoder delivers167 frames per second for 4K videos, corresponding to a speedup of 2.2× over the state-of-the-art CPU decoder using four CPU cores. When more CPU cores (>8) are employed,the benefit of using GPU vanishes and the performance is eventually outperformed by theCPU decoder due to GPU overloading. With respect to energy, because of its high powerconsumption GPU architecture is not as efficient as the CPU for HEVC decoding.
Seller Inventory # 9783746731001
"About this title" may belong to another edition of this title.
General Terms and Conditions and Customer Information / Privacy Policy
I. General Terms and Conditions
§ 1 Basic provisions
(1) The following terms and conditions apply to all contracts that you conclude with us as a provider (AHA-BUCH GmbH) via the Internet platforms AbeBooks and/or ZVAB. Unless otherwise agreed, the inclusion of any of your own terms and conditions used by you will be objected to
(2) A consumer within the meaning of the following regulations is any natural person who concludes...
More InformationWe ship your order after we received them
for articles on hand latest 24 hours,
for articles with overnight supply latest 48 hours.
In case we need to order an article from our supplier our dispatch time depends on the reception date of the articles, but the articles will be shipped on the same day.
Our goal is to send the ordered articles in the fastest, but also most efficient and secure way to our customers.