GPU Parallelization of HEVC In-Loop Filters

Cooperative CPU+GPU deblocking filter parallelization for high performance HEVC video codecs

Heterogeneous platforms integrating several CPU cores and GPU accelerators have established in several application domains, from desktop, server and mobile. To take full advantage of such platforms, video encoders/decoders have to exploit a broader design space, by cooperatively executing in all the available CPU and GPU cores. To attain such objective, three novel contributions that aim the ex...

Evaluation of Parallelization Strategies for the Emerging HEVC Standard

Speculative Loop Parallelization

Compiler Design Lab Department of Computer Science

Loop Parallelization Algorithms

This chapter is devoted to a comparative survey of loop parallelization algorithms. Various algorithms have been presented in the literature, such as those introduced These algorithms make use of diierent mathematical tools. Also, they do not rely on the same representation of data dependences. In this chapter, we survey each of these algorithms, and we assess their power and limitations, both ...

GPU Parallelization of Algebraic Dynamic Programming

Algebraic Dynamic Programming (ADP) is a framework to encode a broad range of optimization problems, including common bioinformatics problems like RNA folding or pairwise sequence alignment. The ADP compiler translates such ADP programs into C. As all the ADP problems have similar data dependencies in the dynamic programming tables, a generic parallelization is possible. We updated the compiler...