These groundbreaking results were obtained by further optimizing the code mainly through the removal of redundant code and function calls as well as through the improved memory use of IMEC’s earlier (mid 2007) SVC source code. This code was already two times faster than the reference code.
The first optimization was based on (re)structuring the SVC code into more concise functional blocks. This facilitated extra optimizations, including removing redundant code and function calls. The application of DTSE (Data Transfer and Storage Exploration) transformations enabled intelligent (re)use of the memory footprint. As a result of the increased data locality, the total memory footprint was significantly reduced to one tenth, leading to much better cache behavior and higher performance. This will also contribute to reducing the silicon cost area when using SVC functions for ASIC (application-specific integrated circuit) implementations.
The optimized decoder has been benchmarked against the reference decoder on a normal end user PC platform. Compliancy to the SVC standard was also verified. The configurations that were tested included the three scalability types of SVC, being spatial, temporal and quality scalability. The preliminary performance evaluation shows that IMEC’s decoder is up to 20 times faster than the reference software, while consuming only a tenth of the memory.
The optimized source code is available as starting point for product development by industry via a licensing program and can be delivered as source code. The code is of typical interest for system integrators of mobile devices or telecommunication applications and fabless IC makers to help them extend their multimedia reference platforms to comply with the SVC standard.
Katrien Marent | alfa
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After helping develop a new approach for organic synthesis -- carbon-hydrogen functionalization -- scientists at Emory University are now showing how this approach may apply to drug discovery. Nature Catalysis published their most recent work -- a streamlined process for making a three-dimensional scaffold of keen interest to the pharmaceutical industry.
"Our tools open up whole new chemical space for potential drug targets," says Huw Davies, Emory professor of organic chemistry and senior author of the paper.
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