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This project proposes several research lines that target the power optimization in computing systems.
Specifically, this project deals with two novel and highly differentiated computer paradigms that, however, interact and collaborate in the current application scenarios: the wireless sensor networks (WSN) and the high-performance computing in data centers (DC). In this context, the project proposes the following research lines:
WSN. In the recent future, WSN will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In this field, we will target the energy optimization in the processing nodes from different abstraction levels: reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications.
DC. The broad range deployment of WSNs facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers. The high economical and environmental impact of the energy consumption in DCs requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this project, we will develop energy-optimal workload assignment policies in heterogeneous DCs, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.
Finally, we present as case study the implementation of the aforementioned technologies in the biomedical context. More in detail, they will be applied in the field of Active Aging and mobility deterioration caused by neurological disorders. This scenario exhibits the needs already detected as goals in the project: i) demand of high computing performance; and ii) requirements of ultra low-power consumption. Moreover, the socio-economic benefit is supported by the large amount of funded research projects in this bio-medical area, which recognizes the social problem of human aging and the cost of health-care.
Contact information: Jose L. Ayala jayala@ucm.es
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