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Performance Analysis And Fitness Of Gpgpu And Multicore Architectures For Scientific Applications, Mohammad Bhuiyan
Performance Analysis And Fitness Of Gpgpu And Multicore Architectures For Scientific Applications, Mohammad Bhuiyan
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Recent trends in computing architecture development have focused on exploiting task- and data-level parallelism from applications. Major hardware vendors are experimenting with novel parallel architectures, such as the Many Integrated Core (MIC) from Intel that integrates 50 or more x86 processors on a single chip, the Accelerated Processing Unit from AMD that integrates a multicore x86 processor with a graphical processing unit (GPU), and many other initiatives from other hardware vendors that are underway.
Therefore, various types of architectures are available to developers for accelerating an application. A performance model that predicts the suitability of the architecture for accelerating an …