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High Performance Computing (HPC) is a strategical resource that allows research communities and developers to fulfill the processing demand (1 ExaFlops/Sec) for future Exascale Computing system which is expected in the end of current decade. In order to provide an extensive level of performance, many powerful and energy efficient devices (MIC, GPU) and parallel programming models have been proposed...
The hybrid cloud infrastructure is predominantly used in both industry and academia for its reusability and scalability. In deadline-constrained applications, the estimation of application execution time is a challenging task. The factors like heterogeneity, uncertainty and provisioning time delays affect the performance of hybrid cloud environment. In this work, we proposed a hybrid cloud scheduler...
Nowadays, the design of applications based on smart systems requires the joint simulation of both digital and analog aspects. Even if analog-mixed-signal (AMS) extensions of hardware description languages are an enabling factor, they do not provide a general methodology for the integration of AMS models into digital virtual platforms. This paper defines the problem and provides two main contributions:...
Since its introduction, SystemC-AMS extensions to SystemC have been used in several applications to model the analog part of a heterogeneous SoC. In this case, the SoC is usually a pure simulation model where the digital part is modeled using SystemC. If an emulation verification environment is used, the digital part of the SoC would be running on the emulator while the analog part, modeled with SystemC-AMS,...
Systems on chip (SoC) nowadays, have become heterogeneous in nature. They can be composed of a mix of analog and digital components. In some verification environments, SystemC models the digital components and SystemC-AMS extensions can be used to model the analog part. In an emulation environment, the digital components would be probably running on the emulator while the SystemC-AMS components would...
Hybrid Mobile Cloud Computing (HMCC) refers to a Mobile Computation Outsourcing (MCO) model that exploits hybrid granular cloud-based resources composed of coarse-, medium-, and fine-grained resources interconnected by wireless and wired networks to augment mobile devices. Leveraging single type of granules for augmentation (i.e., vertically heterogeneous) has its own deficiencies of low proximity...
CPS has broad spectrum of system features. A LCPS (Large-scale CPS) has a number of computing entities and physical systems including various sensors and actuators. The design and implementation of a LCPS must be more difficult and different from those of stand-alone CPS because it has more heterogeneity, more unreliability, more complexity and more unpredictability. Therefore, a LCPS must be developed...
The development of objective speech quality measures generally involves fitting a model to subjective rating data. A typical data set comprises ratings generated by listening tests performed in different languages and across different laboratories. These factors as well as others, such as the sex and age of the talker, influence the subjective ratings and result in data heterogeneity. We use a linear...
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