activity
20192025
most citedkEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos

12 citations · 32 across the 11 of their papers we have counts for

collaborators

16 papers

quant-ph2025

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute

Gilles Buchs, Thomas Beck, Ryan Bennink +19

Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic…

cs.NI2024

ABCI 3.0: Evolution of the leading AI infrastructure in Japan

Ryousei Takano, Shinichiro Takizawa, Yusuke Tanimura +2

ABCI 3.0 is the latest version of the ABCI, a large-scale open AI infrastructure that AIST has been operating since August 2018 and will be fully operational in January 2025. ABCI…

cs.NI20241 cited

A Fast Control Plane for a Large-Scale and High-Speed Optical Circuit Switch System

Ryousei Takano, Kiyo Ishii, Toshiyuki Shimizu +3

We experimentally verify a fast control plane with 100 microseconds of configuration time that can support more than 1000 racks, leveraged by a software-defined network controller…

cs.AR2023

METICULOUS: An FPGA-based Main Memory Emulator for System Software Studies

Takahiro Hirofuchi, Takaaki Fukai, Akram Ben Ahmed +2

Due to the scaling problem of the DRAM technology, non-volatile memory devices, which are based on different principle of operation than DRAM, are now being intensively developed t…

q-bio.NC20212 cited

Experimentally testable whole brain manifolds that recapitulate behavior

Gerald M Pao, Cameron Smith, Joseph Park +8

We propose an algorithm grounded in dynamical systems theory that generalizes manifold learning from a global state representation, to a network of local interacting manifolds term…

cs.DC202112 cited

kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos

Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa +5

Empirical Dynamic Modeling (EDM) is a state-of-the-art non-linear time-series analysis framework. Despite its wide applicability, EDM was not scalable to large datasets due to its…