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Workload-aware power optimization strategy for asymmetric multiprocessors
Asymmetric multi-core architectures, such as the ARM big.LITTLE, are emerging as successful solutions for the embedded and mobile markets due to their capabilities to trade-off performance and power
Using just-in-time code generation for transparent resource management in heterogeneous systems
This paper presents the innovative SAVEHSA architecture, which comprises of a heterogeneous hardware platform with three different high-end accelerators attached over PCIe (GPGPU, FPGA and Intel MIC), and presents two software components that can perform resource allocation at runtime while respecting system and application goals.
A self-adaptive approach to efficiently manage energy and performance in tomorrow's heterogeneous computing systems
The work presented in this paper will address self-adaptivity to allow the system to autonomously decide which specialized resource to exploit for a carbon footprint reduction, due to a more effective execution of the application, optimizing goals that the user can set.
Deep Neural Networks (DNNs) are redefining the state-of-the-art performance in a variety of tasks like speech recognition and image classification. These impressive results are often enabled by
An Interactive method to control Computer Animation in an intuitive
Human Computer Interaction is a rising field of computer science and perfectly fits among Computer Graphics scopes. The video-game industry is focusing on this field in order to provide always more