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Next generation video standards have strict and increasing performance demands due to real-time requirements and the trend towards higher frame resolutions and bit rates. Leveraging the advantages of reconfigurable logic and emerging multi-core processor architectures to exploit all levels of parallelism of such workloads is necessary to achieve real time functionality at a reasonable cost.
Accelerators, such as field programmable gate arrays (FPGAs) and graphics processing units (GPUs), are special purpose processors designed to speed up compute-intensive sections of applications. FPGAs are highly customizable, while GPUs provide massive parallel execution resources and high memory bandwidth. In this paper, we compare the performance of these architectures, presenting a performance...
The problem of automatically generating hardware modules from a high level representation of an application has been at the research forefront in the last few years. In this paper, we use OpenCL, an industry supported standard for writing programs that execute on multicore platforms and accelerators such as GPUs. Our architectural synthesis tool, SOpenCL (Silicon-OpenCL), adapts OpenCL into a novel...
Phylogenetic inference is considered to be one of the grand challenges in Bioinformatics due to the immense computational requirements. RAxML is currently among the fastest and most accurate programs for phylogenetic tree inference under the Maximum Likelihood (ML) criterion. First, we introduce new tree search heuristics that accelerate RAxML by a factor of 2.43 while returning equally good trees...
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