Application-Guided Power-Efficient Fault Tolerance for H.264 Context Adaptive Variable Length Coding

作者:Shafique Muhammad*; Rehman Semeen; Kriebel Florian; Khan Muhammad Usman Karim; Zatt Bruno; Subramaniyan Arun; Vizzotto Bruno Boessio; Henkel Joerg
来源:IEEE Transactions on Computers, 2017, 66(4): 560-574.
DOI:10.1109/TC.2016.2616313

摘要

This paper presents a fault-tolerance technique for H.264's Context-Adaptive Variable Length Coding (CAVLC) on unreliable computing hardware. The application-specific knowledge is leveraged at both algorithm and architecture levels to protect the CAVLC process (especially context adaptation and coding tables) in a reliable yet power-efficient manner. Specifically, the statistical analysis of coding syntax and video content properties are exploited for: (1) selective redundancy of coefficient/header data of video bitstreams; (2) partitioning the coding tables into various sub-tables to reduce the power overhead of fault tolerance; and (3) run-time power management of memory parts storing the sub-tables and their parity computations. Experimental results demonstrate that leveraging application-specific knowledge reduces area and performance overhead by 2x compared to a double-parity table protection technique. For functional verification and area comparison, the complete H.264 CAVLC architecture is prototyped on a Xilinx Virtex-5 FPGA (though not limited to it).

  • 出版日期2017-4-1
  • 单位IBM