Professor Tamura’s research interest is primarily based on custom computing. In particular, dealing with specialized computing platforms tailored to tackle specific applications that are otherwise impossible to solve with conventional, off-the-shelf computing platforms. Custom computer architectures, including parallel systems, hardware accelerators, and reconfigurable hardware platforms, are able to adapt to problems that are not amenable to conventional computers. His contributions have been focused in improving the estimation of predictability in real-time embedded systems, by designing customized locking caches and techniques to choose the instructions that should be locked to maximize performance. He is currently working on distributed computing architectures and adaptive hardware.
Currently Funded Research