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ORCIDAkira Nukada
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2020 – today
- 2024
[c38]Toshihiro Hanawa, Kengo Nakajima, Yohei Miki, Takashi Shimokawabe, Kazuya Yamazaki, Shinji Sumimoto, Osamu Tatebe, Taisuke Boku, Daisuke Takahashi, Akira Nukada, Norihisa Fujita, Ryohei Kobayashi, Hiroto Tadano, Akira Naruse:
Preliminary Performance Evaluation of Grace-Hopper GH200. CLUSTER Workshops 2024: 184-185- [c37]Hongjian Zhang, Akira Nukada, Qiucheng Liao:
FCUFS: Core-Level Frequency Tuning for Energy Optimization on Intel Processors. CLUSTER 2024: 214-225 - 2023
- [j4]Akira Nukada
, Taichiro Suzuki, Satoshi Matsuoka:
Efficient checkpoint/Restart of CUDA applications. Parallel Comput. 116: 103018 (2023) - 2022
- [j3]Adrián Pérez Diéguez, Margarita Amor, Ramón Doallo, Akira Nukada, Satoshi Matsuoka:
Efficient high-precision integer multiplication on the GPU. Int. J. High Perform. Comput. Appl. 36(3): 356-369 (2022) - [c36]Yuya Tatsugi, Akira Nukada:
Accelerating data transfer between host and device using idle GPU. GPGPU@PPoPP 2022: 2:1-2:6 - 2021
- [c35]Akira Nukada:
Performance Optimization of Allreduce Operation for Multi-GPU Systems. IEEE BigData 2021: 3107-3112
2010 – 2019
- 2019
- [c34]Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CCGRID 2019: 231-240 - [i1]Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CoRR abs/1903.11409 (2019) - 2018
- [j2]James Lin, Zhigeng Xu, Linjin Cai, Akira Nukada, Satoshi Matsuoka:
Evaluating the SW26010 many-core processor with a micro-benchmark suite for performance optimizations. Parallel Comput. 77: 128-143 (2018) - [c33]James Lin, Minhua Wen, Delong Meng, Xin Liu, Akira Nukada, Satoshi Matsuoka:
Optimizing Preconditioned Conjugate Gradient on TaihuLight for OpenFOAM. CCGrid 2018: 273-282 - [c32]Adrián Pérez Diéguez, Margarita Amor, Ramon Doallo, Akira Nukada, Satoshi Matsuoka:
Efficient Solving of Scan Primitive on Multi-GPU Systems. IPDPS 2018: 794-803 - [c31]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka, Kenichi Miura, John Shalf:
MRG8: Random Number Generation for the Exascale Era. PASC 2018: 6:1-6:11 - 2017
- [c30]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka:
High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU. ICPP 2017: 101-110 - [c29]James Lin, Zhigeng Xu, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka:
Optimizations of Two Compute-Bound Scientific Kernels on the SW26010 Many-Core Processor. ICPP 2017: 432-441 - 2016
- [c28]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka:
Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU. ICCS 2016: 131-142 - 2015
- [c27]James Lin, Akira Nukada, Satoshi Matsuoka:
Modeling Gather and Scatter with Hardware Performance Counters for Xeon Phi. CCGRID 2015: 713-716 - [c26]Taichiro Suzuki, Akira Nukada, Satoshi Matsuoka:
Efficient Execution of Multiple CUDA Applications Using Transparent Suspend, Resume and Migration. Euro-Par 2015: 687-699 - 2014
- [c25]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka:
Cache-aware sparse matrix formats for Kepler GPU. ICPADS 2014: 281-288 - [c24]Toshio Endo, Akira Nukada, Satoshi Matsuoka:
TSUBAME-KFC: A modern liquid submersion cooling prototype towards exascale becoming the greenest supercomputer in the world. ICPADS 2014: 360-367 - [c23]Yuki Sumiyoshi, Akihiro Fujii, Akira Nukada, Teruo Tanaka:
Mixed-Precision AMG method for Many Core Accelerators. EuroMPI/ASIA 2014: 127 - 2012
- [c22]Akira Nukada, Yutaka Maruyama, Satoshi Matsuoka:
High performance 3-D FFT using multiple CUDA GPUs. GPGPU@ASPLOS 2012: 57-63 - [c21]Akira Nukada, Kento Sato, Satoshi Matsuoka:
Scalable multi-GPU 3-D FFT for TSUBAME 2.0 supercomputer. SC 2012: 44 - 2011
- [c20]Shuntaro Yamazaki, Akira Nukada, Masaaki Mochimaru:
Hamming Color Code for Dense and Robust One-shot 3D Scanning. BMVC 2011: 1-9 - [c19]Akira Nukada, Hiroyuki Takizawa, Satoshi Matsuoka:
NVCR: A Transparent Checkpoint-Restart Library for NVIDIA CUDA. IPDPS Workshops 2011: 104-113 - [c18]Takashi Shimokawabe, Takayuki Aoki, Tomohiro Takaki, Toshio Endo, Akinori Yamanaka, Naoya Maruyama, Akira Nukada, Satoshi Matsuoka:
Peta-scale phase-field simulation for dendritic solidification on the TSUBAME 2.0 supercomputer. SC 2011: 3:1-3:11 - 2010
- [j1]Ali Cevahir, Akira Nukada, Satoshi Matsuoka:
High performance conjugate gradient solver on multi-GPU clusters using hypergraph partitioning. Comput. Sci. Res. Dev. 25(1-2): 83-91 (2010) - [c17]Hitoshi Nagasaka, Naoya Maruyama, Akira Nukada, Toshio Endo, Satoshi Matsuoka:
Statistical power modeling of GPU kernels using performance counters. Green Computing Conference 2010: 115-122 - [c16]Leonardo Arturo Bautista-Gomez, Akira Nukada, Naoya Maruyama, Franck Cappello, Satoshi Matsuoka:
Low-overhead diskless checkpoint for hybrid computing systems. HiPC 2010: 1-10 - [c15]Toshio Endo, Akira Nukada, Satoshi Matsuoka, Naoya Maruyama:
Linpack evaluation on a supercomputer with heterogeneous accelerators. IPDPS 2010: 1-8 - [c14]Naoya Maruyama, Akira Nukada, Satoshi Matsuoka:
A high-performance fault-tolerant software framework for memory on commodity GPUs. IPDPS 2010: 1-12 - [c13]Takashi Shimokawabe, Takayuki Aoki, Chiashi Muroi, Junichi Ishida, Kohei Kawano, Toshio Endo, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka:
An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code. SC 2010: 1-11 - [p1]Tamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida:
Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation Framework. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 175-192
2000 – 2009
- 2009
- [c12]Reiji Suda, Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka:
Aspects of GPU for general purpose high performance computing. ASP-DAC 2009: 216-223 - [c11]Ali Cevahir, Akira Nukada, Satoshi Matsuoka:
Fast Conjugate Gradients with Multiple GPUs. ICCS (1) 2009: 893-903 - [c10]Akira Nukada, Satoshi Matsuoka:
Auto-tuning 3-D FFT library for CUDA GPUs. SC 2009 - 2008
- [c9]Akira Nukada, Yasuhiko Ogata, Toshio Endo, Satoshi Matsuoka:
Bandwidth intensive 3-D FFT kernel for GPUs using CUDA. SC 2008: 5 - 2007
- [c8]Akira Nukada, Daisuke Takahashi, Reiji Suda, Akira Nishida:
High Performance FFT on SGI Altix 3700. HPCC 2007: 396-407 - [c7]Akira Nukada, Yuichiro Hourai, Akira Nishida, Yutaka Akiyama:
High Performance 3D Convolution for Protein Docking on IBM Blue Gene. ISPA 2007: 958-969 - [c6]Tamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida:
Cloth Simulation in the SILC Matrix Computation Framework: A Case Study. PPAM 2007: 1086-1095 - 2006
- [c5]Akira Nukada:
FFTSS: A High Performance Fast Fourier Transform Library. ICASSP (3) 2006: 980-983 - [c4]Tamito Kajiyama, Akira Nukada, Reiji Suda, Hidehiko Hasegawa, Akira Nishida:
Distributed SILC: An Easy-to-Use Interface for MPI-Based Parallel Matrix Computation Libraries. PARA 2006: 860-870 - [c3]Akira Nishida, Hisashi Kotakemori, Tamito Kajiyama, Akira Nukada:
Poster reception - Scalable software infrastructure project. SC 2006: 140 - 2005
- [c2]Hisashi Kotakemori, Hidehiko Hasegawa, Tamito Kajiyama, Akira Nukada, Reiji Suda, Akira Nishida:
Performance Evaluation of Parallel Sparse Matrix-Vector Products on SGI Altix3700. IWOMP 2005: 153-163 - [c1]Tamito Kajiyama, Akira Nukada, Hidehiko Hasegawa, Reiji Suda, Akira Nishida:
SILC: A Flexible and Environment-Independent Interface for Matrix Computation Libraries. PPAM 2005: 928-935
Coauthor Index
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