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Simulators are still the primary tools for development and performance evaluation of applications running on massively parallel architectures. However, current virtual platforms are not able to tackle the complexity issues introduced by 1000-core future scenarios. We present a fast and accurate simulation framework targeting extremely large parallel systems by specifically taking advantage of the...
Graphic Processing Units (GPUs) have evolved to provide a massive computational power. In contrast to Central Processing Units, GPUs are so-called many-core processors with hundreds of cores capable of running thousands of threads in parallel. This parallel processing power can accelerate the simulation of communication systems. In this work, we utilize NVIDIA's Compute Unified Device Architecture...
Performance evaluation techniques for fundamental graphics algorithms and for algorithms to be used in multimedia and embedded systems are investigated. Models of computation considering only arithmetic and logic operations taken on input data are regarded as inadequate for processors with instruction-level parallelism. For experimental evaluation of graphics algorithms clock-cycle counting is found...
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