A DSP-based HEVC decoder implementation using RVC-CAL and native OpenHEVC code

Abstract

Complexity of both, applications and processors, is permanently increasing. While, designers must face with a lot of challenges, such as reduced time to market, performance and energy efficiency, among others. In this context, dataflow based methodologies and tools, like the Open RVC-CAL Compiler Infrastructure (Orcc), have revealed powerful in supporting platform independent design. Within the Orcc design flow, applications are described using the RVC-CAL language. A set of Orcc backends can generate different source codes (e.g., C, C++, VHDL, Java) that must be finally compiled for a target platform with a native compiler. This approach has several advantages, but the quality of the final product is limited by the quality of the currently implemented backends. In this work, an HEVC decoder implementation for DSP technology has been developed by using a combination of RVC-CAL descriptions and native Ccode. The results of this approach are compared with those obtained by using both, a pure RVC-CAL description and a pure native C-code implementation.

Recent Advances on HEVC Inter-Frame Coding: From Optimization to Implementation and Beyond

“…Changes were made to this version by the publisher prior to publication. The final version of record is available at http://dx.doi.org/10.1109/TCSVT.2019.2954474 [115][116][117][118][119] and HEVC decoder [120][121][122][123], research on HEVC encoders implementation is relatively rare. The high complexity of HEVC encoders, which is tens of times larger than that of HEVC decodes as well as H.264/AVC, making it very demanding however challenging.…”

“…Compared to above hardware platforms, DSPs has become ideal for fast implementation of variety of computational- [115][116][117][118][119] and HEVC decoder [120][121][122][123], research on HEVC encoders implementation is relatively rare. The high complexity of HEVC encoders, which is tens of times larger than that of HEVC decodes as well as H.264/AVC, making it very demanding however challenging.…”

“…As reviewed above, plenty of work has been done on either algorithm optimizations or hardware implementations to facilitate the HEVC applications. Meanwhile, a series of new techniques are also proposed to further enhance the coding efficiency beyond HEVC [122], among which, QuadTree plus Binary Tree block partitioning, affine transform-based ME and adaptive The speedup of 6.79 is computed against the optimized HM10.0 while 465.50 is against the original HM10.0.…”