Internet of things is a great vision where everything embeds a tiny computer
so that we can listen to them and even talk to them if they have the capacity to
understand and act on our words.
Undoubtedly there are many challenges to this, but a crucial one is how to make things
very energy-efficient and error-tolerant.
In the Intelligent Computing & Codesign Lab (ICCL) at UNIST we are deeply interested in this question of
how to make things efficient and resilient, and are exploring solutions across different
boundaries (eg., hardware vs software, digital vs analog vs stochastic) encompassing multiple
levels of abstraction from application specification to circuit-level design.
We push the limit of energy-efficient computing by designing innovative
processor architectures and compilers optimized for today's and tomorrow's emerging applications
(e.g., computer vision, recognition, synthesis) with a special focus on parallelism, heterogeneity,
reconfigurability, and energy-accuracy trade-off.