The aim of this project is to design energy efficient Multi-core embedded processors that can be used as a low-power alternative to host cloud computing applications.
Specifically the project aims to design efficient hardware accelerators that will augment Multi-processors Systems-on-a-Chip (MPSoC). The enhanced MPSoC (based on programmable FPGA with ARM cores) will be deployed in data centers that require hosting of lightweight applications and low power consumption (e.g. MicroServers and NanoServers). We will investigate how to accelerate several tasks for data centers (e.g. MapReduce framework) by augmenting these processors with the right hardware acceleration units and efficient software optimizations in order to reduce the power consumption and increase the energy efficiency.
Specifically the project aims to design efficient hardware accelerators that will augment Multi-processors Systems-on-a-Chip (MPSoC). The enhanced MPSoC (based on programmable FPGA with ARM cores) will be deployed in data centers that require hosting of lightweight applications and low power consumption (e.g. MicroServers and NanoServers). We will investigate how to accelerate several tasks for data centers (e.g. MapReduce framework) by augmenting these processors with the right hardware acceleration units and efficient software optimizations in order to reduce the power consumption and increase the energy efficiency.
Support:
We would like to thanks Xilinx University Program (XUP) for the kind donation of the Xilinx development tools.
The research project is implemented within the framework of the Action «Supporting Postdoctoral Researchers» of the Operational Program "Education and Lifelong Learning" (Action’s Beneficiary: General Secretariat for Research and Technology), and is co-financed by the European Social Fund (ESF) and the Greek State.
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