The Advanced Computing Systems Laboratory explores computing systems not only for traditional high-performance computing (HPC), but also for other domains such as AI and quantum computing — with a view toward the post-Moore era, in which Moore's Law approaches its limits and further miniaturization of semiconductors becomes increasingly difficult. Our research pursues principles, methodologies, and implementations across both hardware and software, with the goal of continuously improving the performance and usability of computing systems.
  On the hardware side, we investigate future computing principles and computer architectures unconstrained by conventional approaches. This includes research into semiconductor technology, packaging, interconnect technologies, and system architecture in connection with "FugakuNEXT" -- the next-generation successor to the supercomputer "Fugaku," targeting enhanced performance for both HPC and AI workloads. We also explore quantum error correction methods, their implementations, and HPC–quantum hybrid system architectures in the context of fault-tolerant quantum computers, which are currently an active area of research and development.
  On the software side, we will explore how to develop applications and system software to take advantage of advanced computing systems consisting of new computational principles and computer architectures. System software, performance evaluation, and analysis methods for efficiently running simulation programs on advanced computing systems are studied.