Yusuke Nagasaka

Fujitsu (Japan) — Japan

Computer Science · Physical Sciences

6h-index237citations19works0.32yr avg
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Research Topics

Parallel Computing and Optimization Techniques(12), Distributed and Parallel Computing Systems(6), Interconnection Networks and Systems(6), Low-power high-performance VLSI design(3), Advanced Data Storage Technologies(3)

Publications19 total

BLaST: High Performance Inference and Pretraining using BLock Sparse Transformers
Repository for Publications and Research Data (ETH Zurich)·2025Open Access
Diverse, Stable, and Efficient All-Atom Structure Sampling Based on Parallelized Coarse-Grained Elastic Network Model
2025
Lossy Compressed Collective Inter-FPGA Communications
2025· 1 citedOpen Access
Enhanced Coarse-Grained Molecular Dynamics Simulation with a Smoothed Hybrid Potential Using a Neural Network Model
Journal of Chemical Theory and Computation·2023· 6 cited
Efficient Collision-Free MTTKRP Algorithm for Multi-core CPUs with Less Memory Usage
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)·2022· 2 cited
A traffic-aware memory-cube network using bypassing
Microprocessors and Microsystems·2022· 3 cited
Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths
2021
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors
Parallel Computing·2019· 45 citedOpen Access
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
2019· 9 cited
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
arXiv (Cornell University)·2019Open Access
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures
2018· 49 citedOpen Access
MRG8
2018· 1 cited
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures
arXiv (Cornell University)·2018· 4 citedOpen Access
High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU
2017· 76 cited
Multi-level Blocking Optimization for Fast Sparse Matrix Vector Multiplication on GPUs
2016
Fast Sparse General Matrix-Matrix Multiplication on GPU with Low Memory Usage
2016
Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU
Procedia Computer Science·2016· 19 citedOpen Access
Ion Energy Dependence of Peel Strength of PTFE by Nitrogen Ion Irradiation
IEEJ Transactions on Fundamentals and Materials·2015· 4 cited
Cache-aware sparse matrix formats for Kepler GPU
2014· 18 cited

Frequent Co-authors

Akira Nukada(8), Satoshi Matsuoka(6), Satoshi Matsuoka(4), Naoto Fukumoto(4), Ariful Azad(3), Aydın Buluç(3), Michihiro Koibuchi(3), Ryo Kanada(2), Atsushi Tokuhisa(2), Shingo Okuno(2), Yasushi Okuno(2), Yoshiya Shikama(2), Ryuta Kawano(2), Hiroki Matsutani(2), Hideharu Amano(2), 長坂 侑亮(2), 彰 額田(2), 聡 松岡(2), Ryosuke Kojima(1), Koichiro Amemiya(1)