Continuum Computing Architecture Research Group

The Continuum Computing Architecture Research Group is advancing research on foundational technologies that support the high performance and advanced functionality of applications within ultra-distributed computing cores, spanning from the cloud to the edge and end devices. The group also focuses on cloud technologies that collaborate with edge systems to enable large-scale AI computation. While high throughput is required in the cloud and low latency is essential at the edge, the group addresses challenges such as real-time processing, energy efficiency, and performance optimization through a co-design approach, integrating both hardware and software development. In addition, the group actively collaborates within and outside of AIST to drive the development of next-generation technologies based on emerging semiconductor and photonics technologies.

Research Topics

✪ Scalable Cloud Technologies for Intensive AI Workloads and Big Data Processing

Data management and use in continuum computing
- Offloading and data reduction at edge for scalability and energy saving, Data pipeline optimization
- DataOps automation, balanced with effective human interaction
- Data traceability in sharing and integration
Management of continuum computing application services
- Develop and build methods of high-performance and robust continuum computing applications for geo-distributed, unstable and heterogeneous environments
- Zero-touch service deployment, Dynamic QoS control, Offloading decision, Client-mobility support
- Low-latency service-to-service interaction, Autonomous service orchestration
High performance cloud technologies tightly connecting with edge
- Large-scale computing with accelerators
- High performance AI, AI resource hub
- Low-latency and scalable connection services with edge, Efficient resource management

✪ Hardware and Software co-design

While the Cloud requires throughput-oriented technologies, the Edge requires latency-oriented technologies. We tackle research issues on throughput improvement, real-time assurance and energy saving, through an interdisciplinary approach to hardware and software co-design.
For hardware and software co-design, our research is based on emerging semiconductor technologies and photonics technologies, in collaboration with the Department of Electronics and Manufacturing at AIST, and different universities and research institutes.

High-throughput virtualization: Enabling high-performance processing by exploiting emerging semiconductor technologies and photonics technologies.
Low-power, low-latency virtualization: Achieving energy-efficient, real-time processing toward 5G/6G communication.
Error-permissive computing: Realizing drastic performance improvement and power reduction by controlling reliability in computer hardware.

Group Members

Role & Name (Surname, First Name)	Field of Expertise	E-mail、etc.
Group Leader HIROFUCHI, Takahiro	System Software, Virtualization, Edge Computing	t.hirofuchi[at]aist.go.jp https://takahiro-hirofuchi.github.io/
Chief Senior Researcher TANIMURA, Yusuke	Parallel and distributed storage, Large-scale data processing, High-performance Computing, Continuum computing	yusuke.tanimura[at]aist.go.jp
Chief Senior Researcher HAGA, Jason	Immersive visualization and analytics, UX/UI, applied AI, edge computing	jh.haga[at]aist.go.jp
Senior Researcher BEN AHMED, Akram	Low-power Embedded Systems, Fault-tolerance & Reliability, On-Chip Interconnection	akram.benahmed[at]aist.go.jp https://baakram.github.io/
Senior Researcher MARTINEZ NORIEGA, Edgar Josafat	Computer Graphics, Real-time Rendering, Large-Scale Deep Learning, Parallel Computing	edgar.martineznoriega[at]aist.go.jp
Researcher FUKAI, Takaaki	Operating System, Hypervisor	takaaki.fukai[at]aist.go.jp https://fukai-t.github.io/profile-page/
Researcher TRUONG THAO, Nguyen	High-performance Computing, Interconnection network	nguyen.truong[at]aist.go.jp https://researchmap.jp/NguyenTT
Post-Doctoral Researcher LE, An		an.le[at]aist.go.jp
Specified Concentrated Research Specialist ONISHI, Naoki		naoki.oonishi[at]aist.go.jp
Technical Staff UEDA, Yuma		yuma.ueda[at]aist.go.jp
Affiliated（concurrent post） TAKIZAWA, Shin'ichiro	High Performance Computing, Big Data, System management	shinichiro.takizawa[at]aist.go.jp https://stakizawa.github.io/