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The way of thinking on Big Data, Open Data and their use by organizations or individuals has been a trending topic over the last few years. Big Data deals with collecting, storing, analyzing and putting data in value. Big, medium and small enterprises want to include information technologies in their management and decision processes. At the same time, movements about rights on public data have increased their presence and force. Data from governments must be open. Every day, more and more cities and countries are opening their data. Open Data has emerged as a new paradigm for the public service provision model with a special role in Smart City. The main goal of Big and Open Data in a Smart City is to develop systems which can be useful for citizens. In this work we analyze how both private enterprises and governments manage to improve their data value by combining private and public datasets and we give some examples of our work in this area.

A hardware technique to reduce static and dynamic power consumption in functional units of 64-bit high-performance processors is presented here. The instructions that require an adder have been studied it can be concluded and that, there is a large percentage of instruction where one of the two source operands is always narrow and does not require a 64-bit adder. Furthermore, by analysing the executed applications, it is feasible to classify their internal operations according to their bit-width requirements and select the appropriate adder type that each instruction requires. This approach is based on substituting some of the 64-bit power-hungry adders with 32-bit ones, which consume much lower power, and modifying the protocol to issue as much instructions as possible to these low power consumption units, while incurring in negligible performance penalties. Five different configurations were tested for the execution units. Results indicate that this technique can save between up to 50% of the power consumed by the adders and up to 21% of the overall power consumption in the execution unit of highperformance architectures. Moreover, the simulations show good results in terms of power efficiency (IPC/W) and it can be affirmed that it could prevent the creation of hot spots in the functional units.

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