23 citations · 106 across the 17 of their papers we have counts for
17 papers
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…
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…
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…
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…
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…
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…
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
Albert Njoroge Kahira, Truong Thao Nguyen, Leonardo Bautista Gomez +3
Deep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using…
Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution
Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa +5
Empirical Dynamic Modeling (EDM) is a nonlinear time series causal inference framework. The latest implementation of EDM, cppEDM, has only been used for small datasets due to compu…
Disaggregated Accelerator Management System for Cloud Data Centers
Ryousei Takano, Kuniyasu Suzaki
A conventional data center that consists of monolithic-servers is confronted with limitations including lack of operational flexibility, low resource utilization, low maintainabili…
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA
Mohamed Wahib, Haoyu Zhang, Truong Thao Nguyen +5
The dedicated memory of hardware accelerators can be insufficient to store all weights and/or intermediate states of large deep learning models. Although model parallelism is a via…
A Prompt Report on the Performance of Intel Optane DC Persistent Memory Module
Takahiro Hirofuchi, Ryousei Takano
In this prompt report, we present the basic performance evaluation of Intel Optane Data Center Persistent Memory Module (Optane DCPMM), which is the first commercially-available, b…
iFDK: A Scalable Framework for Instant High-resolution Image Reconstruction
Peng Chen, Mohamed Wahib, Shinichiro Takizawa +2
Computed Tomography (CT) is a widely used technology that requires compute-intense algorithms for image reconstruction. We propose a novel back-projection algorithm that reduces th…
A Software-based NVM Emulator Supporting Read/Write Asymmetric Latencies
Atsushi Koshiba, Takahiro Hirofuchi, Ryousei Takano +1
Non-volatile memory (NVM) is a promising technology for low-energy and high-capacity main memory of computers. The characteristics of NVM devices, however, tend to be fundamentally…
The Preliminary Evaluation of a Hypervisor-based Virtualization Mechanism for Intel Optane DC Persistent Memory Module
Takahiro Hirofuchi, Ryousei Takano
Non-volatile memory (NVM) technologies, being accessible in the same manner as DRAM, are considered indispensable for expanding main memory capacities. Intel Optane DCPMM is a long…
A Versatile Software Systolic Execution Model for GPU Memory-Bound Kernels
Peng Chen, Mohamed Wahib, Shinichiro Takizawa +2
This paper proposes a versatile high-performance execution model, inspired by systolic arrays, for memory-bound regular kernels running on CUDA-enabled GPUs. We formulate a systoli…
Perturbative GAN: GAN with Perturbation Layers
Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'uchi +3
Perturbative GAN, which replaces convolution layers of existing convolutional GANs (DCGAN, WGAN-GP, BIGGAN, etc.) with perturbation layers that adds a fixed noise mask, is proposed…
Feasibility Evaluation of 6LoWPAN over Bluetooth Low Energy
Varat Chawathaworncharoen, Vasaka Visoottiviseth, Ryousei Takano
IPv6 over Low power Wireless Personal Area Network (6LoWPAN) is an emerging technology to enable ubiquitous IoT services. However, there are very few studies of the performance eva…