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The rapid advancements in the computational capabilities of the graphics processing unit (GPU) as well as the deployment of general programming models for these devices have made the vision of a desktop supercomputer a reality. It is now possible to assemble a system that provides several TFLOPs of performance on scientific applications for the cost of a high-end laptop computer. While these devices...
Multimedia Instruction Sets have been introduced more than 20 years ago to speedup multimedia processing on General Purpose Processors. However, to take advantage of these instructions, developers have to cope with the low-level assembly or the equivalent C interfaces, which hinders code portability and raises development cost increases. An alternative is to let the compiler automatically generate...
The growing interest in GPU programming has brought renewed attention to the Single Instruction Multiple Data (SIMD) execution model. SIMD machines give application developers a tremendous computational power, however, the model also brings restrictions. In particular, processing elements (PEs) execute in lock-step, and may lose performance due to divergences caused by conditional branches. In face...
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