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Events & Outreach R-CCS Cafe The 286th R-CCS Cafe (Feb 13, 2026)
The 286th R-CCS Cafe (Feb 13, 2026)
Japanese| Date | Fri, Feb 13, 2026 |
|---|---|
| Time | 3:00 pm - 4:30 pm (3:00 pm - 4:00 pm three talks, 4:00 pm - 4:30 pm Free discussion) |
| City | Kobe, Japan/Online |
| Place | Lecture Hall (6th floor) at R-CCS, Online seminar on Zoom
|
| Language | Presentation Language: English Presentation Material: English |
| Speakers |
Naoki Yoshioka Quantum Computing Simulation Unit Technical Scientist Wenyang Zhao Computational Structural Biology Research Team Jiaheng Liu Processor Research Team |
Talk Titles and Abstracts
1st Speaker: Naoki Yoshioka
Title:
State-vector simulation of quantum computers on supercomputers
A state-vector simulator of quantum computers has been developed for use on supercomputers. Our simulator, RIKEN-braket, removes the conventional limitations on the number of MPI processes and the size of the state-vector data array imposed by commonly used parallelization methods. We demonstrate that our simulator scales efficiently up to 46 qubits on the supercomputer Fugaku, using up to 55,296 computing nodes. We also describe recent enhancements to the simulator, including gate fusion and support for multiple circuits to enable simulations of variational algorithms.
2nd Speaker: Wenyang Zhao
Title:
xspline3d: A Python Library for MPI-Based Spline Interpolation Enforcing Global Continuity in Distributed 3D Volumes
Abstract:
Spline interpolation plays a fundamental role in scientific computing and data science. In recent years, the size of datasets has been increasing rapidly, requiring them to be partitioned across distributed memory. However, performing multivariate spline interpolation on large-scale, distributed, multidimensional data is non-trivial, as it requires the entire system to be solved globally to enforce global continuity. To address this challenge, we propose parallel algorithms to solve the global multidimensional system dimension by dimension, while progressively redistributing the data across memory blocks in different MPI processes. We implement these algorithms as a Python library xspline3d, the first publicly available library supporting MPI-based multivariate spline interpolation in distributed 3D volumes. This library effectively overcomes the single-node memory bottleneck for handling large-scale datasets. It is expected to evolve into a widely adopted utility library on HPC platforms.
3rd Speaker: Jiaheng Liu
Title:
On-chip Scratchpad Memory Design Exploration for RIKEN CGRA SoC
Elastic coarse-grained reconfigurable arrays (CGRAs) use back-pressure mechanisms to provide autonomous, decentralized flow-control, avoiding static scheduling and strict assumptions on tile-level latency. This elastic characteristic also eases coupling with external modules that have dynamic, data-dependent latency, widening the design space of on-chip scratchpad memories (SPMs). We evaluate multiple SPM designs for the RIKEN CGRA SoC, focusing on power and area as well as their impact on throughput and data duplication across representative kernels. This work highlights the trade-off: fully-connected multibank SPM spends substantial power/area on interconnects, whereas private port–bank design can increase data duplication for kernels with shared working sets. Thus, we evaluate a reduced-connectivity multibank SPM in which each port accesses only a subset of banks. This design provides a more favorable performance-efficiency balance, making it practical for RIKEN CGRA SoC.
Important Notes
- Please turn off your video and microphone when you join the meeting.
- The broadcasting may be interrupted or terminated depending on the network condition or any other unexpected event.
- The program schedule and contents may be modified without prior notice.
- Depending on the utilized device and network environment, it may not be able to watch the session.
- All rights concerning the broadcasted material will belong to the organizer and the presenters, and it is prohibited to copy, modify, or redistribute the total or a part of the broadcasted material without the previous permission of RIKEN.
（Feb 1, 2026）