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Showing 1 to 5 of 5 for “"GPGPU Computing"”.
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Massively parallel engineering simulations on graphics processors: parallelization, synchronization, and approximation
… the unceasing development of ever more powerful computing hardware. Due to limitations imposed by the materials and architectures of computer systems the last decade has seen an explosion in parallel computing platforms where computation is shared among several processing units. There have been …
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GPUMap: A Transparently GPU-Accelerated Map Function
<p>As GPGPU computing becomes more popular, it will be used to tackle a wider range of problems. However, due to the current state of GPGPU programming, programmers are typically required to be familiar with the architecture of the GPU in order to effectively program it. Fortunately, there are …
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Reconfigurable and heterogeneous architectures for efficient computing
… in performance or power for general-purpose computing. Thus, there is an increase in the adoption of specialized hardware, tuned to the requirements of the application or domain. These accelerators promise high performance and energy efficiency. However, with the increasing complexity and …
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Applying Source Level Auto-Vectorization to Aparapi Java
Ever since chip manufacturers hit the power wall preventing them from increasing processor clock speed, there has been an increased push towards parallelism for performance improvements. This parallelism comes in the form of both data parallel single instruction multiple data (SIMD) instructions, …