Increasingly, biological data is being shared over the deep web. Many biological queries can only be answered by successively searching a number of distinct web-sites. This paper introduces a system that exploits parallelization for accelerating search over multiple deep web data sources. An interactive, two-stage multi-threading system is developed to achieve task parallelization, thread paral...

Automatic parallelization in a compiler is becoming more important as computer technologies expand to include more distributed computing. This paper focuses on a comparative study of past and present techniques for automatic parallelization. It includes techniques such as scalar analysis, array analysis, and commutativity analysis. The need for automatic parallelization in compilers is growing ...

Different parallelization methods vary in their system requirements, programming styles, efficiency of exploring parallelism, and the application characteristics they can handle. Different applications can exhibit totally different performance gains depending on the parallelization method used. This paper compares OpenMP, MPI, and Strings( A distributed shared memory) for parallelizing a compli...