Research activity

The social cooperation program “Energy-efficient information processing” aims to develop energy-efficient computing systems and devices based on new operation principles by cooperation between system scientists studying theory and algorithms and device scientists responsible for experiments and developments.

Research topics

Due to recent development of brain function-measurement and image-processing techniques, it has been found that neuronal connectivity in the brain of living things is complex but has modularity and sparseness to some extent. Inspired by the structure of the real brain with regularity and complexity, we aim to explore the connection topology of operation units in energy-efficient computing systems with high performance. Considering hardware implementation of the energy-efficient computing systems in the future, we are developing the optimal network structure of operation units and learning algorithms that can maximize the performance of neural information processing.

There are three major issues to be overcome for implementing efficient information processing systems with parallel distributed processing using computing machinery consisting of solid operational devices: the realization of a huge number of interconnections between operational unit devices; the development of operational devices with a huge number of fan-in and fan-out; the development of individual operational unit devices with extremely low power consumption. These issues are difficult to be handled by the conventional wiring and device technology for CMOS integrated circuits. Meanwhile, many device researchers have tried to implement neuronal computers on chips in a manner different from the CMOS integrated circuits, although large-scale neuronal computers have yet to be implemented by overcoming the above difficulties. One of the reasons of this is that most studies have focused on the specialty of and the interest on the input-output characteristics of devices but have not considered the methodology for network construction of the operational unit devices. This social cooperation program is dealing with the development of operational devices which are required for realization of large-scale integrated neural computers through a collaboration among researchers studying networks/algorithms and those studying devices.


Journal papers

Conference papers