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With the advent of chip multiprocessor (CMP) architecture, programmer must tune the program to the architecture in order to fully utilize the hardware resource. How to parallel program multimedia application in the CMP is a big obstacle. In this paper, we introduce the potential parallelism in the multimedia application and the multi-grain parallelism architecture in the CMP; also we make a systematic...
Solving linear equations is a common problem in the fields of science and engineering. Accelerating its solving process is of great significance. Modern GPUs are high performance many-core processors fit for large scale parallel computing. They provide us a novel way for accelerating the solving process. A GPU based parallel Jacobi's iterative solver for dense linear equations is presented in this...
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we focus on exploiting fine-grain parallelism for a demanding bioinformatics application - MrBayes - and its phylogenetic likelihood functions (PLF) using different architectures. Our experiments compare side-by-side the scalability...
Cell Superscalar (CellSs) provides a simple, flexible and easy programming approach for the Cell Broadband Engine (Cell/B.E.) that automatically exploits the inherent concurrency of applications at a function or task level. The CellSs environment is based on a source-to-source compiler that translates annotated C or Fortran code and a runtime library tailored for the Cell/B.E. that orchestrates the...
The emergence of multi-core systems opens new opportunities for thread-level parallelism and dramatically increases the performance potential of applications running on these systems. However, the state of the art in performance enhancing software is far from adequate in regards to the exploitation of hardware features on this complex new architecture. As a result, much of the performance capabilities...
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