Cyberscience Center was founded as a national supercomputer
center hosted by Tohoku University in 1969. Since then, the Center has been installing high-end
computing systems and providing them to researchers and students nationwide in Japan. In addition to
the role of a national inter-university joint usage/research center for high performance computing,
the Center is responsible for cyber-infrastructure of the University.
This year we have installed a new system, AOBA.
We focus on the design and development of high-performance supercomputing systems and their
applications. Since it is necessary to well understand and exploit the parallelism of the underlying
hardware for high
performance, we are
developing programming models and supportive tools to facilitate the parallel programming and code
addition, as supercomputer systems are becoming larger and more complicated, its power consumption
become critical design constraints of supercomputers. Therefore, we are designing/architecting the
supercomputers with high power efficiency and dependability.
Working together with application
developers to achieve high performance.
Machine Learning for HPC
Performance-aware programming assisted
by machine learning.
HPC Programming Framework
Application development is a teamwork
of different kinds of programmers.
QA for Combinatorial Problems
Making a good use of emerging
Programming with assigning right tasks
Task Mapping and Scheduling
Intelligent resource management for
highly efficient computing.
Tsunami Inundation Simulation
Predicting damage from a tsunami immediately after the earthquake.
Memory Architecture Design
Integrating large and fast memories into a single system.
Code Optimization and Tuning
Making application codes suitable for a specific architecture.
Presentations at SC20
Professor Hiroyuki Takizawa
Operation Start of the Second-Generation SX-Aurora TSUBASA (NEC Aurora Forum)
Professor Ryusuke Egawa
Exploiting the Potentials of the Second Generation SX-Aurora TSUBASA (PMBS20)
Doctor Mulya Agung
A Parallel Job Scheduling Method to Effectively Use Shared Heterogeneous Systems for Urgent Computations (UrgentHPC)
Professor Akihiro Musa
Evaluation of Tsunami Inundation Simulation using Vector-Scalar Hybrid MPI on SX-Aurora TSUBASA (SC20 Research Poster)
Student Presentations at Booth
Quantum Compiler: Automatic Vectotization Assisted by Quantum Annealer
Automatically Avoiding Memory Access Conflicts on SX-Aurora TSUBASA
Task Priority Control for the HPX Runtime System
Michael Ryan Zielewski
Challenges in solving scheduling problems with the D-Wave quantum annealer.
Optimizations for the Himeno Benchmark on Vector Computing System SX-Aurora TSUBASA
An Evaluation of a Hierarchical Clustering Method Using Quantum Annealing
Metadata Management for Large-Scale Hybrid Memory Architectures